A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
! | Logical Operators (base) |
!= | Relational Operators (base) |
$ | Extract or Replace Parts of an Object (base) |
$<- | Extract or Replace Parts of an Object (base) |
%% | Arithmetic Operators (base) |
%*% | Matrix Multiplication (base) |
%/% | Arithmetic Operators (base) |
%in% | Value Matching (base) |
%o% | Outer Product of Arrays (base) |
%x% | Kronecker Product of Arrays (base) |
& | Logical Operators (base) |
&& | Logical Operators (base) |
* | Arithmetic Operators (base) |
+ | Arithmetic Operators (base) |
- | Arithmetic Operators (base) |
-> | Assign a Value to a Name (base) |
->> | Assign a Value to a Name (base) |
.Alias | Create Alias (Pointer) to R Object (base) |
.Autoloaded | Loading and Listing of Packages (base) |
.AutoloadEnv | On-demand Loading of Packages (base) |
.C | Foreign Function Interface (base) |
.Call | Foreign Function Interface (base) |
.Class | Internal and Group Methods and Generic Functions (base) |
.Defunct | Defunct Functions (base) |
.Deprecated | Deprecated Functions (base) |
.Device | Control Multiple Devices (base) |
.Devices | Control Multiple Devices (base) |
.Dyn.libs | Loading Shared Libraries (base) |
.External | Foreign Function Interface (base) |
.First | Initialization at Start of an R Session (base) |
.First.lib | Loading and Listing of Packages (base) |
.Fortran | Foreign Function Interface (base) |
.Generic | Internal and Group Methods and Generic Functions (base) |
.GlobalEnv | Environment Access (base) |
.Group | Internal and Group Methods and Generic Functions (base) |
.Internal | Call an Internal Function (base) |
.Last | Terminate an R Session (base) |
.Last.value | Value of Last Evaluated Expression (base) |
.lib.loc | Loading and Listing of Packages (base) |
.Library | Loading and Listing of Packages (base) |
.Machine | Machine Characteristics (base) |
.Method | Internal and Group Methods and Generic Functions (base) |
.NotYetImplemented | Not Yet Implemented Functions and Unused Arguments (base) |
.NotYetUsed | Not Yet Implemented Functions and Unused Arguments (base) |
.Options | Options Settings (base) |
.packages | Loading and Listing of Packages (base) |
.Pars | Set or Query Graphical Parameters (base) |
.Pars.readonly | Set or Query Graphical Parameters (base) |
.Platform | Platform Specific Variables (base) |
.PostScript.Options | PostScript Graphics (base) |
.Primitive | Call a ``Primitive'' Internal Function (base) |
.Provided | Loading and Listing of Packages (base) |
.Random.seed | Random Number Generation (base) |
.Rprofile | Initialization at Start of an R Session (base) |
.Traceback | Print Call Stack of Last Error (base) |
/ | Arithmetic Operators (base) |
: | Sequence Generation (base) |
< | Relational Operators (base) |
<- | Assign a Value to a Name (base) |
<<- | Assign a Value to a Name (base) |
<= | Relational Operators (base) |
== | Relational Operators (base) |
> | Relational Operators (base) |
>= | Relational Operators (base) |
? | Documentation (base) |
[ | Extract or Replace Parts of an Object (base) |
[.data.frame | Extract or Replace Parts of an Object (base) |
[.factor | Extract or Replace Parts of an Object (base) |
[.formula | Extract or Replace Parts of an Object (base) |
[.noquote | Extract or Replace Parts of an Object (base) |
[.pdBlocked | Subscript a pdMat Object (nlme) |
[.pdMat | Subscript a pdMat Object (nlme) |
[.ts | Extract or Replace Parts of an Object (base) |
[.tskernel | Smoothing Kernel Objects (ts) |
[<- | Extract or Replace Parts of an Object (base) |
[<-.data.frame | Extract or Replace Parts of an Object (base) |
[<-.factor | Extract or Replace Parts of an Object (base) |
[<-.noquote | Extract or Replace Parts of an Object (base) |
[<-.pdMat | Subscript a pdMat Object (nlme) |
[[ | Extract or Replace Parts of an Object (base) |
[[.data.frame | Extract or Replace Parts of an Object (base) |
[[<- | Extract or Replace Parts of an Object (base) |
[[<-.data.frame | Extract or Replace Parts of an Object (base) |
^ | Arithmetic Operators (base) |
| | Logical Operators (base) |
|| | Logical Operators (base) |
~ | Model Formulae (base) |
abbey | Determinations of Nickel Content (MASS) |
abbreviate | Abbreviate Strings (base) |
abc.ci | Nonparametric ABC Confidence Intervals (boot) |
abcnon | Nonparametric ABC Confidence Limits (bootstrap) |
abcpar | Parametric ABC Confidence Limits (bootstrap) |
abline | Add a Straight Line to a Plot (base) |
abs | Miscellaneous Mathematical Functions (base) |
accdeaths | Accidental Deaths in the US 1973-1978 (MASS) |
accessC | Get Smoothed Data from Wavelet Structure (wavethresh) |
accessD | Get wavelet expansion coefficients from wavelet structure. (wavethresh) |
ace | Alternating Conditional Expectations (acepack) |
ACF | Autocorrelation Function (nlme) |
acf | Calculate Sample Autocorrelation Function (timeslab) |
ACF.gls | Autocorrelation Function for gls Residuals (nlme) |
ACF.lme | Autocorrelation Function for lme Residuals (nlme) |
acf1 | Calculate Sample Autocorrelation Function (timeslab) |
acme | Monthly Excess Returns (boot) |
acos | Trigonometric Functions (base) |
acosh | Hyperbolic Functions (base) |
actuator | Actuator force experiment. (funfits) |
actuator.calibrate | Actuator calibration experiment. (funfits) |
adapt | Adaptive Integration in 1--20 Dimensions. (integrate) |
add.constraint | Add a constraint to an triangulaion object (tripack) |
add.scope | Compute Allowed Changes in Adding to or Dropping from a Formula (base) |
add1 | Add or Drop All Possible Single Terms to a Model (base) |
add1.default | Add or Drop All Possible Single Terms to a Model (base) |
add1.glm | Add or Drop All Possible Single Terms to a Model (base) |
add1.lm | Add or Drop All Possible Single Terms to a Model (base) |
add1.mlm | Add or Drop All Possible Single Terms to a Model (base) |
addreg | Additive nonparametric regression (funfits) |
addterm | Try All One-Term Additions to a Model (MASS) |
adf.test | Augmented Dickey-Fuller Test (tseries) |
aggregate | Compute Summary Statistics of Data Subsets (base) |
aggregate.data.frame | Compute Summary Statistics of Data Subsets (base) |
aggregate.default | Compute Summary Statistics of Data Subsets (base) |
aggregate.ts | Compute Summary Statistics of Data Subsets (base) |
agnes | Agglomerative Nesting (cluster) |
agnes.object | Agglomerative Nesting Object (cluster) |
agriculture | European Union Agricultural Workforces (cluster) |
AIC | Akaike Information Criterion (nlme) |
AIC.gls | Akaike Information Criterion (nlme) |
AIC.lm | Akaike Information Criterion (nlme) |
AIC.lme | Akaike Information Criterion (nlme) |
AIC.lmList | Akaike Information Criterion (nlme) |
AIC.logLik | AIC of a logLik Object (nlme) |
AIC.nlme | Akaike Information Criterion (nlme) |
AIC.nls | Akaike Information Criterion (nlme) |
AIC.nlsList | Akaike Information Criterion (nlme) |
aic.opt.stable | Stable Generalized Linear Regression Model (stable) |
aic.stable | Stable Generalized Linear Regression Model (stable) |
aids | Delay in AIDS Reporting in England and Wales (boot) |
Aids2 | Australian AIDS Survival Data (MASS) |
aircondit | Failures of Air-conditioning Equipment (boot) |
aircondit7 | Failures of Air-conditioning Equipment (boot) |
airmiles | Commercial Airline Mileage (base) |
airquality | New York Air Quality Measurements (base) |
akima | Waveform Distortion Data for Bivariate Interpolation (akima) |
alias | Find Aliases (Dependencies) in a Model (base) |
alias.formula | Find Aliases (Dependencies) in a Model (base) |
alias.lm | Find Aliases (Dependencies) in a Model (base) |
aliasmat | Discrete Distribution (e1071) |
alist | Lists -- Generic and Dotted Pairs (base) |
all | Are All Values True? (base) |
all.equal | Test if Two Objects are (Nearly) Equal (base) |
all.equal.character | Test if Two Objects are (Nearly) Equal (base) |
all.equal.default | Test if Two Objects are (Nearly) Equal (base) |
all.equal.factor | Test if Two Objects are (Nearly) Equal (base) |
all.equal.formula | Test if Two Objects are (Nearly) Equal (base) |
all.equal.language | Test if Two Objects are (Nearly) Equal (base) |
all.equal.list | Test if Two Objects are (Nearly) Equal (base) |
all.equal.numeric | Test if Two Objects are (Nearly) Equal (base) |
all.names | Find All Names in an Expression (base) |
all.vars | Find All Names in an Expression (base) |
allCoef | Extract Coefficients from a Set of Objects (nlme) |
amif | Auto Mutual Information Function (tseries) |
amis | Car Speeding and Warning Signs. (boot) |
aml | Acute Myelogenous Leukemia survival data (survival5) |
Animals | Brain and Body Weights for 28 Species (MASS) |
animals | Attributes of Animals (cluster) |
anorexia | Anorexia Data on Weight Change (MASS) |
anova | Anova Tables (base) |
anova.glm | Accessing Generalized Linear Model Fits (base) |
anova.glm.null | Accessing Generalized Linear Model Fits (base) |
anova.glmlist | Accessing Generalized Linear Model Fits (base) |
anova.gls | Compare Likelihoods of Fitted Objects (nlme) |
anova.lm | Accessing Linear Model Fits (base) |
anova.lm.null | Accessing Linear Model Fits (base) |
anova.lme | Compare Likelihoods of Fitted Objects (nlme) |
anova.loess | Local Polynomial Regression Fitting (modreg) |
anova.mlm | Anova Tables (base) |
anova.negbin | Likelihood Ratio Tests for Negative Binomial GLMs (MASS) |
anovalist.lm | Accessing Linear Model Fits (base) |
ansari.test | Ansari-Bradley Test (ctest) |
anscombe | Anscombe's Quartet of ``Identical'' Simple Linear Regressions (base) |
any | Are Values True? (base) |
aov | Fit an Analysis of Variance Model (base) |
aperm | Array Transposition (base) |
append | Vector Merging (base) |
apply | Apply Functions Over Array Margins (base) |
approx | Interpolation Functions (base) |
approxfun | Interpolation Functions (base) |
approx[fun] | Interpolation Functions (base) |
apropos | Find Objects by (Partial) Name (base) |
ar | Fit autoregressive models to time series (bats) |
ar.burg | Fit Autoregressive Models to Time Series (ts) |
ar.burg.default | Fit Autoregressive Models to Time Series (ts) |
ar.burg.mts | Fit Autoregressive Models to Time Series (ts) |
ar.mle | Fit Autoregressive Models to Time Series (ts) |
ar.ols | Fit Autoregressive Models to Time Series by OLS (ts) |
ar.yw | Fit autoregressive model by solving Yule-Walker equations (bats) |
ar.yw.default | Fit Autoregressive Models to Time Series (ts) |
ar.yw.mts | Fit Autoregressive Models to Time Series (ts) |
arcorr | Calculate AR Autocorrelation Function (timeslab) |
ardt | Simulate Data from an AR Process (timeslab) |
area | Adaptive Numerical Integration (MASS) |
arfilt | Apply an AR Filter to a Matrix (timeslab) |
Arg | Complex Vectors (base) |
args | Argument List of a Function (base) |
arima0 | ARIMA Modelling of Time Series -- Preliminary Version (ts) |
arima0.diag | ARIMA Modelling of Time Series -- Preliminary Version (ts) |
Arithmetic | Arithmetic Operators (base) |
arma | Form Plots Illustrating Patterns in ARMA Processes (timeslab) |
arma0f | Internal ts functions (ts) |
armacorr | Calculate ARMA Autocorrelation Function (timeslab) |
armadt | Simulate Data from an ARMA Process (timeslab) |
armapart | Calculate ARMA Partial Autocorrelation Function (timeslab) |
armapred | Calculate Exact Predictions for an ARMA Process (timeslab) |
armasp | Calculate ARMA Spectral Density Function (timeslab) |
arpart | Calculate AR Partial Autocorrelation Function (timeslab) |
array | Multi-way Arrays (base) |
arrows | Add Arrows to a Plot (base) |
arsp | Calculate AR Spectral Density (timeslab) |
arsppeak | Find Peak Frequencies in AR Spectra (timeslab) |
as.array | Multi-way Arrays (base) |
as.call | Function Calls (base) |
as.character | Character Vectors (base) |
as.character.default | Character Vectors (base) |
as.complex | Complex Vectors (base) |
as.complex.default | Complex Vectors (base) |
as.data.frame | Data Frames (base) |
as.data.frame.AsIs | Data Frames (base) |
as.data.frame.character | Data Frames (base) |
as.data.frame.complex | Data Frames (base) |
as.data.frame.data.frame | Data Frames (base) |
as.data.frame.default | Data Frames (base) |
as.data.frame.factor | Data Frames (base) |
as.data.frame.integer | Data Frames (base) |
as.data.frame.list | Data Frames (base) |
as.data.frame.logical | Data Frames (base) |
as.data.frame.matrix | Data Frames (base) |
as.data.frame.mlbench | Convert an mlbench object to a dataframe (mlbench) |
as.data.frame.model.matrix | Data Frames (base) |
as.data.frame.numeric | Data Frames (base) |
as.data.frame.ordered | Data Frames (base) |
as.data.frame.ts | Data Frames (base) |
as.data.frame.vector | Data Frames (base) |
as.data.frame.xyVector | Construct an xyVector Object (splines) |
as.date | Coerce data to date form (date) |
as.dist | Distance Matrix Computation (mva) |
as.double | Double Precision Vectors (base) |
as.double.default | Double Precision Vectors (base) |
as.expression | Unevaluated Expressions (base) |
as.expression.default | Unevaluated Expressions (base) |
as.factor | Factors (base) |
as.formula | Model Formulae (base) |
as.function | Convert Object to Function (base) |
as.function.default | Convert Object to Function (base) |
as.function.polynomial | Coerce a Polynomial to a Function (polynom) |
as.hclust | Convert Objects to Class hclust (mva) |
as.hclust.twins | Convert Objects to Class hclust (mva) |
as.integer | Integer Vectors (base) |
as.integer.default | Integer Vectors (base) |
as.list | Lists -- Generic and Dotted Pairs (base) |
as.list.data.frame | Lists -- Generic and Dotted Pairs (base) |
as.list.default | Lists -- Generic and Dotted Pairs (base) |
as.logical | Logical Vectors (base) |
as.logical.default | Logical Vectors (base) |
as.matrix | Matrices (base) |
as.matrix.corStruct | Matrix of a corStruct Object (nlme) |
as.matrix.data.frame | Matrices (base) |
as.matrix.default | Matrices (base) |
as.matrix.dist | Distance Matrix Computation (mva) |
as.matrix.noquote | Class for ``no quote'' Printing of Strings (base) |
as.matrix.pdMat | Matrix of a pdMat Object (nlme) |
as.matrix.reStruct | Matrices of an reStruct Object (nlme) |
as.mcmc | Markov Chain Monte Carlo Objects (coda) |
as.mcmc.list | Replicated Markov Chain Monte Carlo Objects (coda) |
as.name | Variable Names (base) |
as.null | The Null Object (base) |
as.null.default | The Null Object (base) |
as.numeric | Numeric Vectors (base) |
as.ordered | Factors (base) |
as.pairlist | Lists -- Generic and Dotted Pairs (base) |
as.polynomial | Polynomials (polynom) |
as.polySpline | Piecewise Polynomial Spline Representation (splines) |
as.qr | The QR Decomposition of a Matrix (base) |
as.real | Real Vectors (base) |
as.single | Double Precision Vectors (base) |
as.single.default | Double Precision Vectors (base) |
as.surface | Creates an object for plotting using contour, persp or image (funfits) |
as.ts | Time-Series Objects (base) |
as.ts.mcmc | Coerce mcmc object to time series (coda) |
as.vector | Vectors (base) |
as.vector.factor | Vectors (base) |
ash1 | Computes univariate averaged shifted histogram (polynomial kernel) (ash) |
ash2 | Compute bivariate ASH estimate (product polynomial kernel) (ash) |
asin | Trigonometric Functions (base) |
asinh | Hyperbolic Functions (base) |
ask | Ask data to be typed on the keyboard. (sm) |
asOneFormula | Combine Formulas of a Set of Objects (nlme) |
asOneSidedFormula | Convert to One-Sided Formula (nls) |
assign | Assign a Value to a Name (base) |
asTable | Convert groupedData to a matrix (nlme) |
asTable.groupedData | Convert groupedData to a matrix (nlme) |
asVector | Coerce an Object to a Vector (splines) |
asVector.xyVector | Coerce an Object to a Vector (splines) |
atan | Trigonometric Functions (base) |
atan2 | Trigonometric Functions (base) |
atanh | Hyperbolic Functions (base) |
attach | Attach Set of R Objects to Search Path (base) |
attenu | The Joyner-Boore Attenuation Data (base) |
attitude | Attitudes Toward Supervisors (base) |
attr | Object Attributes (base) |
attr.all.equal | Test if Two Objects are (Nearly) Equal (base) |
attr<- | Object Attributes (base) |
attributes | Object Attribute Lists (base) |
attributes<- | Object Attribute Lists (base) |
augPred | Augmented Predictions (nlme) |
augPred.gls | Augmented Predictions (nlme) |
augPred.lme | Augmented Predictions (nlme) |
augPred.lmList | Augmented Predictions (nlme) |
austres | Quarterly Time Series of the Number of Australian Residents (MASS) |
auto.paint | Data frame of paint measurements from the hood of a car. (funfits) |
autocorr | Autocorrelation function for Markov chains (coda) |
autocorr.plot | Plot autocorrelations for Markov Chains (coda) |
autoload | On-demand Loading of Packages (base) |
autoloader | On-demand Loading of Packages (base) |
avas | Additivity and variance stabilization for regression (acepack) |
ave | Group Averages Over Level Combinations of Factors (base) |
awe | Approximate weight of evidence for model-based hierarchical clustering. (mclust) |
axis | Add an Axis to a Plot (base) |
backsolve | Solve an Upper or Lower Triangular System (base) |
backSpline | Monotone Inverse Spline (splines) |
backSpline.nbSpline | Monotone Inverse Spline (splines) |
backSpline.npolySpline | Monotone Inverse Spline (splines) |
balancedGrouped | Create a groupedData object from a matrix (nlme) |
bandwidth.kernel | Smoothing Kernel Objects (ts) |
barley | A barley split plot field trial (Rnotes) |
barplot | Bar Plots (base) |
barplot.default | Bar Plots (base) |
bartlett.test | Bartlett Test for Homogeneity of Variances (ctest) |
basename | File Manipulation (base) |
BATCH | Batch Execution of R (base) |
bayesclass | Bayes classifier (mlbench) |
bayesclass.mlbench.2dnormals | Bayes classifier (mlbench) |
bayesclass.mlbench.cassini | Bayes classifier (mlbench) |
bayesclass.mlbench.circle | Bayes classifier (mlbench) |
bayesclass.mlbench.cuboids | Bayes classifier (mlbench) |
bayesclass.mlbench.ringnorm | Bayes classifier (mlbench) |
bayesclass.mlbench.threenorm | Bayes classifier (mlbench) |
bayesclass.mlbench.twonorm | Bayes classifier (mlbench) |
bayesclass.mlbench.xor | Bayes classifier (mlbench) |
bayesclass.noerr | Bayes classifier (mlbench) |
bcanon | Nonparametric BCa Confidence Limits (bootstrap) |
bcv | Biased Cross-Validation for Bandwidth Selection (MASS) |
BD | Data frame of the effect of buffer compositions on DNA strand displacement amplification. (funfits) |
BD2 | (funfits) |
bds.test | BDS Test (tseries) |
bea | Bond Energy Algorithm (multiv) |
beaujolais | The Beaujolais Quality Data (Rnotes) |
beav1 | Body Temperature Series of Beaver 1 (MASS) |
beav2 | Body Temperature Series of Beaver 2 (MASS) |
beaver | Beaver Body Temperature Data (boot) |
beaver1 | Body Temperature Series of Two Beavers (ts) |
beaver2 | Body Temperature Series of Two Beavers (ts) |
beavers | Body Temperature Series of Two Beavers (ts) |
Bennett5 | Magentization modelling (NISTnls) |
Bessel | Bessel Functions (base) |
bessel | Bessel Functions (base) |
besselI | Bessel Functions (base) |
besselJ | Bessel Functions (base) |
besselK | Bessel Functions (base) |
besselY | Bessel Functions (base) |
Beta | The Beta Distribution (base) |
beta | Special Functions of Mathematics (base) |
Beta Binomial | The Beta Binomial Distribution (rmutil) |
BIC | Bayesian Information Criterion (nlme) |
bic | BIC for parameterized MVN mixture models (mclust) |
BIC.gls | Bayesian Information Criterion (nlme) |
BIC.lm | Bayesian Information Criterion (nlme) |
BIC.lme | Bayesian Information Criterion (nlme) |
BIC.lmList | Bayesian Information Criterion (nlme) |
BIC.logLik | BIC of a logLik Object (nlme) |
BIC.nlme | Bayesian Information Criterion (nlme) |
BIC.nls | Bayesian Information Criterion (nlme) |
BIC.nlsList | Bayesian Information Criterion (nlme) |
bigcity | Population of U.S. Cities (boot) |
bin1 | Function to compute array of bin counts for a data vector (ash) |
bin2 | Bin bivariate data x (ash) |
bincombinations | Binary Combinations (e1071) |
binnest | Binary Random Effects Model with Two Levels of Nesting (repeated) |
binning | Construct frequency table from raw data (sm) |
binom.test | Exact Binomial Test (ctest) |
Binomial | The Binomial Distribution (base) |
binomial | Family Objects for Models (base) |
biopsy | Biopsy Data on Breast Cancer Patients (MASS) |
biplot | Biplot of Multivariate Data (mva) |
biplot.default | Biplot of Multivariate Data (mva) |
biplot.princomp | Biplot for Principal Components (mva) |
birthwt | Risk Factors for Low Birth Weight (boot) |
biv.betab | Bivariate Beta-binomial Regression (repeated) |
biv.binom | Marginal Bivariate Binomial Regression (repeated) |
BJsales | Sales Data with Leading Indicator. (ts) |
BJsales.lead | Sales Data with Leading Indicator. (ts) |
bkde | Compute a Binned Kernel Density Estimate (KernSmooth) |
bkde2D | Compute a 2D Binned Kernel Density Estimate (KernSmooth) |
bkfe | Compute a Binned Kernel Functional Estimate (KernSmooth) |
bladder | Bladder Cancer Recurrences (survival5) |
BOD | Biochemical Oxygen Demand (nls) |
body | Access to and Manipulation of the Body of a Function (base) |
body<- | Access to and Manipulation of the Body of a Function (base) |
boot | Bootstrap Resampling (boot) |
boot.array | Bootstrap Resampling Arrays (boot) |
boot.ci | Nonparametric Bootstrap Confidence Intervals (boot) |
boot.object | Bootstrap Output Objects (boot) |
bootci.object | Bootstrap Confidence Interval Objects (boot) |
bootpred | Bootstrap Estimates of Prediction Error (bootstrap) |
bootstrap | Non-Parametric Bootstrapping (bootstrap) |
boott | Bootstrap-t Confidence Limits (bootstrap) |
border | Cricket Batting Dataset (locfit) |
Boston | Housing Values in Suburbs of Boston (MASS) |
BostonHousing | Boston Housing Data (mlbench) |
box | Draw a Box around a Plot (base) |
Box-Cox | The Box-Cox Distribution (rmutil) |
Box.test | Box--Pierce and Ljung--Box Tests (ts) |
boxcox | Box-Cox Transformations for Linear Models (MASS) |
boxplot | Box Plots (base) |
boxplot.default | Box Plots (base) |
boxplot.formula | Formula Notation for Boxplots (base) |
boxplot.stats | Box Plot Statistics (base) |
bp | Create a Vector of Cumulative Numbers of Previous Events for a Point Process (event) |
bplot | boxplot (funfits) |
bptest | Breusch-Pagan-Test (lmtest) |
brambles | Spatial Location of Bramble Canes (boot) |
break | Control Flow (base) |
BreastCancer | Wisconsin Breast Cancer Database (mlbench) |
breslow | Smoking Deaths Among Doctors (boot) |
browser | Environment Browser (base) |
bruto | Fit an additive spline model by adaptive backfitting (mda) |
bs | Generate a Basis for Polynomial Splines (splines) |
bug.report | Send a Bug Report (base) |
Burr | The Burr Distribution (rmutil) |
bxp | Box Plots from Summaries (base) |
C | Sets Contrasts for a Factor (base) |
c | Combine Values into a Vector or List (base) |
ca | Correspondence Analysis (multiv) |
cabbages | Data from a cabbage field trial (MASS) |
caith | Colours of Eyes and Hair of People in Caithness (MASS) |
calcium | Calcium Uptake Data (boot) |
call | Function Calls (base) |
cancer | Mayo Clinic Lung Cancer Data (survival5) |
cancor | Canonical Correlations (mva) |
cane | Sugar-cane Disease Data (boot) |
capability | Simulated Manufacturing Process Data (boot) |
capture | Capture-recapture Model (repeated) |
carma | Continuous ARMA for Unequally Spaced Repeated Measurements (growth) |
cars | Stopping Distances of Cars (base) |
Cars93 | Data from 93 Cars on Sale in the USA in 1993 (MASS) |
case.names | Case and Variable Names of Fitted Models (base) |
case.names.default | Case and Variable Names of Fitted Models (base) |
case.names.lm | Case and Variable Names of Fitted Models (base) |
case/variable.names | Case and Variable Names of Fitted Models (base) |
cat | Concatenate and Print (base) |
category | Defunct Functions (base) |
catheter | Meta-analysis of antibacterial catheter coating (rmeta) |
catmiss | Marginal probabilities for categorical repeated measures with missing data (repeated) |
cats | Weight Data for Domestic Cats (boot) |
Cauchy | The Cauchy Distribution (base) |
cav | Position of Muscle Caveolae (boot) |
cbind | Combine Columns/Rows into a Matrix (base) |
cbind.data.frame | Combine Columns/Rows into a Matrix (base) |
cbind.ts | Bind Two or More Time Series (ts) |
ccf | Autocovariance and Autocorrelation Function Estimation (ts) |
cclust | Convex Clustering (cclust) |
cd4 | CD4 Counts for HIV-Positive Patients (boot) |
cd4.nested | Nested Bootstrap of `cd4' data (boot) |
ceiling | Rounding of Numbers (base) |
cement | Cement Composition Data (boot) |
censboot | Bootstrap for Censored Data (boot) |
censcale | Centering and Scaling of Data (mclust) |
change.origin | Change Origin for a Polynomial (polynom) |
channing | Channing House Data (boot) |
character | Character Vectors (base) |
charmatch | Partial String Matching (base) |
check.commonprob | Check Joint Binary Probabilities (bindata) |
check.options | Set Options with Consistency Checks (base) |
chem | Copper in Wholemeal Flour (MASS) |
chickwts | Chicken Weights by Feed Type (base) |
chidden | Continuous-Time Hidden Markov Chain Models (repeated) |
chisq.test | Pearson's Chi-square Test for Count Data (base) |
Chisquare | The (non-central) Chi-Square Distribution (base) |
chlorine | The Chlorine availability data. (Rnotes) |
chol | The Choleski Decomposition (base) |
chol2inv | Inverse from Choleski Decomposition (base) |
choose | Special Functions of Mathematics (base) |
chron | Create a Chronological Object (chron) |
chull | Compute Convex Hull of a Set of Points (base) |
Chwirut1 | Ultrasonic calibration study 1 (NISTnls) |
Chwirut2 | Ultrasonic calibration data 2 (NISTnls) |
city | Population of U.S. Cities (boot) |
clara | Clustering Large Applications (cluster) |
clara.object | Clustering Large Applications Object (cluster) |
claridge | Genetic Links to Left-handedness (boot) |
class | Object Classes (base) |
class.ind | Generates Class Indicator Matrix from a Factor (nnet) |
class<- | Object Classes (base) |
clearNames | Remove the Names from an Object (nls) |
climate | Climate and geographical data for 50 largest US cities. Information on 50 largest US cities. List components: lon: longitude lat: latitude jan: average minimum January temperature (degrees F) rain: average rainfall in inches city: city names jul: average maximum July temperature elev: Elevation above sea level in KW. Reference: The Universal Almanac (1992), ed. John W. Wright, Andrews and McNeel, Kansas City. (funfits) |
clip | Clip a Vector Above and Below (timeslab) |
close.screen | Creating and Controlling Multiple Screens on a Single Device (base) |
close.socket | Close a Socket (base) |
cloth | Number of Flaws in Cloth (boot) |
cloud | The Cloud Point Data (Rnotes) |
clpairs | Classifications for hierarchical clustering. (mclust) |
cltest | Test dataset for classification (locfit) |
cltrain | Training dataset for classification (locfit) |
clusplot | Clusplot - Generic Function (cluster) |
clusplot.default | bivariate clusplot (cluster) |
clusplot.partition | Bivariate clusplot of a partitioning object (cluster) |
cluster | Identify Clusters (survival5) |
clustindex | Cluster Indexes (cclust) |
cm | Graphical Units (base) |
cm.colors | Color Palettes (base) |
cmdscale | Classical (Metric) Multidimensional Scaling (mva) |
co.intervals | Conditioning Plots (base) |
co.transfer | Carbon Monoxide Transfer (boot) |
co2 | Mauna Loa Atmospheric CO2 Concentration (base) |
coal | Dates of Coal Mining Disasters (boot) |
codamenu | Main menu driver for the coda package (coda) |
codes | Factor Codes (base) |
codes.factor | Factor Codes (base) |
codes.ordered | Factor Codes (base) |
codes<- | Factor Codes (base) |
coef | Extract Model Coefficients (base) |
coef.aov | Extract Model Coefficients (base) |
coef.corAR1 | Coefficients of a corStruct Object (nlme) |
coef.corARMAd | Coefficients of a corStruct Object (nlme) |
coef.corCAR1 | Coefficients of a corStruct Object (nlme) |
coef.corCompSymm | Coefficients of a corStruct Object (nlme) |
coef.corHF | Coefficients of a corStruct Object (nlme) |
coef.corIdent | Coefficients of a corStruct Object (nlme) |
coef.corLin | Coefficients of a corStruct Object (nlme) |
coef.corSpatial | Coefficients of a corStruct Object (nlme) |
coef.corSpher | Coefficients of a corStruct Object (nlme) |
coef.corStruct | Coefficients of a corStruct Object (nlme) |
coef.corSymm | Coefficients of a corStruct Object (nlme) |
coef.default | Extract Model Coefficients (base) |
coef.garch | Fit GARCH Models to Time Series (tseries) |
coef.glm | Extract Model Coefficients (base) |
coef.gls | Extract gls Coefficients (nlme) |
coef.gnls | Extract gnls Coefficients (nlme) |
coef.listof | Extract Model Coefficients (base) |
coef.lm | Extract Model Coefficients (base) |
coef.lme | Extract lme Coefficients (nlme) |
coef.lmList | Extract lmList Coefficients (nlme) |
coef.modelStruct | Extract modelStruct Object Coefficients (nlme) |
coef.nls | Nonlinear Least Squares (nls) |
coef.pdBlocked | pdMat Object Coefficients (nlme) |
coef.pdCompSymm | pdCompSymm Object Coefficients (nlme) |
coef.pdDiag | pdDiag Object Coefficients (nlme) |
coef.pdIdent | pdIdent Object Coefficients (nlme) |
coef.pdMat | pdMat Object Coefficients (nlme) |
coef.pdNatural | pdMat Object Coefficients (nlme) |
coef.pdSymm | pdMat Object Coefficients (nlme) |
coef.reStruct | reStruct Object Coefficients (nlme) |
coef.tukeyline | Robust Line Fitting (eda) |
coef.varComb | varFunc Object Coefficients (nlme) |
coef.varConstPower | varFunc Object Coefficients (nlme) |
coef.varExp | varFunc Object Coefficients (nlme) |
coef.varFixed | varFunc Object Coefficients (nlme) |
coef.varFunc | varFunc Object Coefficients (nlme) |
coef.varIdent | varFunc Object Coefficients (nlme) |
coef.varPower | varFunc Object Coefficients (nlme) |
coef<- | Assign Values to Coefficients (nlme) |
coef<-.corAR1 | Coefficients of a corStruct Object (nlme) |
coef<-.corARMAd | Coefficients of a corStruct Object (nlme) |
coef<-.corCAR1 | Coefficients of a corStruct Object (nlme) |
coef<-.corCompSymm | Coefficients of a corStruct Object (nlme) |
coef<-.corHF | Coefficients of a corStruct Object (nlme) |
coef<-.corIdent | Coefficients of a corStruct Object (nlme) |
coef<-.corLin | Coefficients of a corStruct Object (nlme) |
coef<-.corSpatial | Coefficients of a corStruct Object (nlme) |
coef<-.corSpher | Coefficients of a corStruct Object (nlme) |
coef<-.corStruct | Coefficients of a corStruct Object (nlme) |
coef<-.corSymm | Coefficients of a corStruct Object (nlme) |
coef<-.modelStruct | Extract modelStruct Object Coefficients (nlme) |
coef<-.pdBlocked | pdMat Object Coefficients (nlme) |
coef<-.pdMat | pdMat Object Coefficients (nlme) |
coef<-.reStruct | reStruct Object Coefficients (nlme) |
coef<-.varComb | varFunc Object Coefficients (nlme) |
coef<-.varConstPower | varFunc Object Coefficients (nlme) |
coef<-.varExp | varFunc Object Coefficients (nlme) |
coef<-.varFixed | varFunc Object Coefficients (nlme) |
coef<-.varIdent | varFunc Object Coefficients (nlme) |
coef<-.varPower | varFunc Object Coefficients (nlme) |
coeffcsd | Calculate Asymptotic Standard Errors of ARMA MLE's (timeslab) |
coefficients | Extract Model Coefficients (base) |
coefficients.fmr | Fit a Generalized Nonlinear Regression Model with a Two or Three Point Mixture (gnlm) |
coefficients.gar | Generalized autoregression (repeated) |
coefficients.glm | Accessing Generalized Linear Model Fits (base) |
coefficients.gnlr | Fit a Generalized Nonlinear Regression Model (gnlm) |
coefficients.gnlr3 | Fit a Generalized Nonlinear Regression Model for Three Parameter Distributions (gnlm) |
coefficients.lm | Accessing Linear Model Fits (base) |
coefficients.nbkal | Negative Binomial Model with Kalman Update (repeated) |
coefficients.nlr | Nonlinear Regression (gnlm) |
coefficients.potthoff | Potthoff and Roy growth curve model (growth) |
coefficients.stable | Stable Generalized Linear Regression Model (stable) |
coefficients.tukeyline | Robust Line Fitting (eda) |
col | Column Indexes (base) |
collapse | Collapse According to Groups (nlme) |
collapse.groupedData | Collapse a groupedData Object (nlme) |
colnames | Row and Columnn Names (base) |
colnames<- | Row and Columnn Names (base) |
colors | Color Names (base) |
colours | Color Names (base) |
commandArgs | Extract Command Line Arguments (base) |
comment | Query or Set a `Comment' Attribute (base) |
comment<- | Query or Set a `Comment' Attribute (base) |
CommonProb | Simulate Joint Binary Probabilities (bindata) |
commonprob2sigma | Calculate a Covariance Matrix for the Normal Distribution out of a Matrix of Joint Probabilites. (bindata) |
compareFits | Compare Fitted Objects (nlme) |
comparePred | Compare Predictions (nlme) |
comparePred.gls | Compare Predictions (nlme) |
comparePred.lme | Compare Predictions (nlme) |
comparePred.lmList | Compare Predictions (nlme) |
Comparison | Relational Operators (base) |
COMPILE | Compile Files for Use with R (base) |
complete.cases | Find Complete Cases (base) |
complex | Complex Vectors (base) |
compress | Compression - Generic function (wavelet) (wavethresh) |
compress.default | Compress a (Wavelet) Vector (wavethresh) |
compress.imwd | `Compress' Method for `imwd' Object (wavethresh) |
compressed.object | Compressed (Wavelet) Object (wavethresh) |
condense | Condense training set for k-NN classifier (class) |
condprob | Conditional Probabilities of Binary Data (bindata) |
confint | Confidence Intervals for Model Parameters (MASS) |
conflicts | Search for Masked Objects on the Search Path (base) |
confusion | compute the confusion matrix between two factors, or for an fda or mda object (mda) |
Conj | Complex Vectors (base) |
Constants | Built-in Constants (base) |
contour | Display Contours (base) |
contr.helmert | Contrast Matrices (base) |
contr.poly | Contrast Matrices (base) |
contr.sum | Contrast Matrices (base) |
contr.treatment | Contrast Matrices (base) |
Contrast | Contrast Matrices (base) |
contrasts | Get and Set Contrast Matrices (base) |
contrasts<- | Get and Set Contrast Matrices (base) |
contrib.url | Download Packages from CRAN (base) |
contributors | R Project Contributors (base) |
Control | Control Flow (base) |
control | Control Variate Calculations (boot) |
convex.hull | Return the convex hull of a triangulation object (tripack) |
convolve | Fast Convolution (base) |
cooks.distance | Regression Diagnostics (base) |
coop | Co-operative Trial in Analytical Chemistry (MASS) |
coplot | Conditioning Plots (base) |
copy.url | Read Data and Code from a Web Server (base) |
copyright | Copyrights of Files Used to Build R (base) |
copyrights | Copyrights of Files Used to Build R (base) |
cor | Correlation and Covariance Matrices (base) |
cor.test | Test for Zero Correlation (ctest) |
corAR1 | AR(1) Correlation Structure (nlme) |
corARMA | ARMA(p,q) Correlation Structure (nlme) |
corCAR1 | Continuous AR(1) Correlation Structure (nlme) |
corClasses | Correlation Structure Classes (nlme) |
corCompSymm | Compound Symmetry Correlation Structure (nlme) |
corExp | Exponential Correlation Structure (nlme) |
corFactor | Factor of a Correlation Matrix (nlme) |
corFactor.compSymm | Factor of a corStruct Object Matrix (nlme) |
corFactor.corAR1 | Factor of a corStruct Object Matrix (nlme) |
corFactor.corARMA | Factor of a corStruct Object Matrix (nlme) |
corFactor.corCAR1 | Factor of a corStruct Object Matrix (nlme) |
corFactor.corHF | Factor of a corStruct Object Matrix (nlme) |
corFactor.corSpatial | Factor of a corStruct Object Matrix (nlme) |
corFactor.corStruct | Factor of a corStruct Object Matrix (nlme) |
corFactor.corSymm | Factor of a corStruct Object Matrix (nlme) |
corGaus | Gaussian Correlation Structure (nlme) |
corgram | Calculate and plot a correlogram (growth) |
corLin | Linear Correlation Structure (nlme) |
corMatrix | Extract Correlation Matrix (nlme) |
corMatrix.compSymm | Matrix of a corStruct Object (nlme) |
corMatrix.corAR1 | Matrix of a corStruct Object (nlme) |
corMatrix.corARMA | Matrix of a corStruct Object (nlme) |
corMatrix.corCAR1 | Matrix of a corStruct Object (nlme) |
corMatrix.corHF | Matrix of a corStruct Object (nlme) |
corMatrix.corSpatial | Matrix of a corStruct Object (nlme) |
corMatrix.corStruct | Matrix of a corStruct Object (nlme) |
corMatrix.corSymm | Matrix of a corStruct Object (nlme) |
corMatrix.pdBlocked | Extract Correlation Matrix from a pdMat Object (nlme) |
corMatrix.pdCompSymm | Extract Correlation Matrix from a pdMat Object (nlme) |
corMatrix.pdDiag | Extract Correlation Matrix from a pdMat Object (nlme) |
corMatrix.pdIdent | Extract Correlation Matrix from a pdMat Object (nlme) |
corMatrix.pdMat | Extract Correlation Matrix from a pdMat Object (nlme) |
corMatrix.pdSymm | Extract Correlation Matrix from a pdMat Object (nlme) |
corMatrix.reStruct | Extract Correlation Matrix from Components of an reStruct Object (nlme) |
corr | Correlation Coefficient (boot) |
corrar | Calculate AR Parameters from Autocorrelations (timeslab) |
corrarma | Calculate ARMA Parameters from Autocorrelations (timeslab) |
corRatio | Rational Quadratic Correlation Structure (nlme) |
corrdt | Simulate Data Having Specified Autocorrelations (timeslab) |
correlogram | Compute Spatial Correlograms (spatial) |
corresp | Simple Correspondence Analysis (MASS) |
corrma | Calculate MA Parameters from Autocorrelations (timeslab) |
corSpatial | Spatial Correlation Structure (nlme) |
corSpher | Spherical Correlation Structure (nlme) |
corSymm | General Correlation Structure (nlme) |
cos | Trigonometric Functions (base) |
cosh | Hyperbolic Functions (base) |
count.fields | Count the Number of Fields per Line (base) |
cov | Correlation and Covariance Matrices (base) |
cov.mcd | Resistant Estimation of Multivariate Location and Scatter (lqs) |
cov.mve | Resistant Estimation of Multivariate Location and Scatter (lqs) |
cov.rob | Resistant Estimation of Multivariate Location and Scatter (lqs) |
cov.trob | Covariance Estimation for Multivariate t Distribution (MASS) |
cov.wt | Weighted Covariance Matrices (base) |
covariate<- | Assign Covariate Values (nlme) |
covariate<-.varFunc | Assign varFunc Covariate (nlme) |
cover.design | Generate a coverage design. (funfits) |
covind | Create or add to a time-constant covariate (tccov) object (rmutil) |
covratio | Regression Diagnostics (base) |
cox.zph | Test the Proportional Hazards Assumption of a Cox Regression (survival5) |
coxph | Fit Proportional Hazards Regression Model (survival5) |
coxph.detail | Details of a Cox Model Fit (survival5) |
coxph.object | Proportional Hazards Regression Object (survival5) |
coxph.rvar | Robust variance for a Cox model (survival4) |
coxre | Cox Proportional Hazards Model with Random Effect (event) |
cpgram | Plot Cumulative Periodogram (MASS) |
cprocess | Counting Process Plot (event) |
cpus | Performance of Computer CPUs (MASS) |
crabs | Morphological Measurements on Leptograpsus Crabs (MASS) |
CRAN.packages | Download Packages from CRAN (base) |
crlag | Apply the Circular Shift Operator to a Vector (timeslab) |
crosscorr | Cross correlations for MCMC output (coda) |
crosscorr.plot | Plot image of correlation matrix (coda) |
crossprod | Matrix Crossproduct (base) |
crossval | K-fold Cross-Validation (bootstrap) |
cum3 | Calculate Third Order Cumulants (boot) |
cummax | Cumulative Sums, Products, etc. (base) |
cummin | Cumulative Sums, Products, etc. (base) |
cumprod | Cumulative Sums, Products, etc. (base) |
cumsum | Cumulative Sums, Products, etc. (base) |
curve | Draw Function Plots (base) |
Cushings | Diagnostic Tests on Patients with Cushing's Syndrome (MASS) |
custest | CUSUM-Test (lmtest) |
cut | Convert Numeric to Factor (base) |
cut.dates | Create a Factor from a chron or dates object (chron) |
cut.default | Convert Numeric to Factor (base) |
cv | Cross-validation criterion for nonparametric density estimation (sm) |
cv.glm | Cross-validation for Generalized Linear Models (boot) |
cv.tree | Cross-validation for Choosing Tree Complexity (tree) |
Cv.warping | Cross-validation for WARPing density estimation (haerdle) |
Cvb.warping | Biased cross-validation for WARPing density estimation (haerdle) |
cycle | Sampling Times of Time Series (base) |
cycle.default | Sampling Times of Time Series (base) |
cycle.ts | Sampling Times of Time Series (base) |
D | Symbolic and Algorithmic Derivatives of Simple Expressions (base) |
da.norm | Data augmentation for incomplete multivariate normal data (norm) |
daisy | Dissimilarity Matrix Calculation (cluster) |
DanielWood | Radiated energy (NISTnls) |
darwin | Darwin's Plant Height Differences (boot) |
data | Data Sets (base) |
data.class | Object Classes (base) |
data.entry | Spreadsheet Interface for Entering Data (base) |
data.frame | Data Frames (base) |
data.matrix | Data Frame to Numeric Matrix (base) |
dataentry | Spreadsheet Interface for Entering Data (base) |
date | System Date and Time (base) |
date.ddmmmyy | Format a Julian date (date) |
date.mdy | Convert from Julian dates to month, day, and year (date) |
date.mmddyy | Format a Julian date (date) |
date.mmddyyyy | Format a Julian date (date) |
dates | Generate Dates and Times Components from Input (chron) |
day.of.week | Convert between Julian and Calendar Dates (chron) |
days | Return Various Periods from a Chron or Dates Object (chron) |
dbeta | The Beta Distribution (base) |
dbetabinom | The Beta Binomial Distribution (rmutil) |
dbinom | The Binomial Distribution (base) |
dboxcox | The Box-Cox Distribution (rmutil) |
dburr | The Burr Distribution (rmutil) |
dcauchy | The Cauchy Distribution (base) |
dchisq | The (non-central) Chi-Square Distribution (base) |
ddiscrete | Discrete Distribution (e1071) |
ddoublebinom | The Double Binomial Distribution (rmutil) |
ddoublepois | The Double Poisson Distribution (rmutil) |
DDT | DDT in Kale (MASS) |
de | Spreadsheet Interface for Entering Data (base) |
de.ncols | Spreadsheet Interface for Entering Data (base) |
de.restore | Spreadsheet Interface for Entering Data (base) |
de.setup | Spreadsheet Interface for Entering Data (base) |
deaths | Monthly Deaths from Lung Diseases in the UK (MASS) |
debug | Debug a function (base) |
Defunct | Defunct Functions (base) |
delay | Delay Evaluation (base) |
delete.response | Modify Terms Objects (base) |
deltat | Sampling Times of Time Series (base) |
deltat.default | Sampling Times of Time Series (base) |
demo | Demonstrations of R functions (base) |
density | Kernel Density Estimation (base) |
densplot | Probability density function estimate from MCMC output (coda) |
deparse | Expression Deparsing (base) |
Deprecated | Deprecated Functions (base) |
deriv | Symbolic and Algorithmic Derivatives of Simple Expressions (base) |
deriv.default | Symbolic and Algorithmic Derivatives of Simple Expressions (base) |
deriv.formula | Symbolic and Algorithmic Derivatives of Simple Expressions (base) |
deriv.polynomial | Differentiate a Polynomial (polynom) |
detach | Detach Objects from the Search Path (base) |
dev.control | Copy Graphics Between Multiple Devices (base) |
dev.copy | Copy Graphics Between Multiple Devices (base) |
dev.cur | Control Multiple Devices (base) |
dev.list | Control Multiple Devices (base) |
dev.next | Control Multiple Devices (base) |
dev.off | Control Multiple Devices (base) |
dev.prev | Control Multiple Devices (base) |
dev.print | Copy Graphics Between Multiple Devices (base) |
dev.set | Control Multiple Devices (base) |
dev.xxx | Control Multiple Devices (base) |
dev2 | Copy Graphics Between Multiple Devices (base) |
dev2bitmap | Copy Graphics Device to Bitmap File (base) |
deviance | Model Deviance (base) |
deviance.comp.stable | Stable Generalized Linear Regression Model (stable) |
deviance.default | Model Deviance (base) |
deviance.fmr | Fit a Generalized Nonlinear Regression Model with a Two or Three Point Mixture (gnlm) |
deviance.gar | Generalized autoregression (repeated) |
deviance.glm | Model Deviance (base) |
deviance.gnlr | Fit a Generalized Nonlinear Regression Model (gnlm) |
deviance.gnlr3 | Fit a Generalized Nonlinear Regression Model for Three Parameter Distributions (gnlm) |
deviance.lm | Model Deviance (base) |
deviance.mlm | Model Deviance (base) |
deviance.nbkal | Negative Binomial Model with Kalman Update (repeated) |
deviance.nlr | Nonlinear Regression (gnlm) |
deviance.potthoff | Potthoff and Roy growth curve model (growth) |
deviance.stable | Stable Generalized Linear Regression Model (stable) |
device | List of Graphical Devices (base) |
Devices | List of Graphical Devices (base) |
dexp | The Exponential Distribution (base) |
df | The F Distribution (base) |
df.kernel | Smoothing Kernel Objects (ts) |
df.residual | Residual Degrees-of-Freedom (base) |
df.residual.fmr | Fit a Generalized Nonlinear Regression Model with a Two or Three Point Mixture (gnlm) |
df.residual.glm | Accessing Generalized Linear Model Fits (base) |
df.residual.gnlr | Fit a Generalized Nonlinear Regression Model (gnlm) |
df.residual.gnlr3 | Fit a Generalized Nonlinear Regression Model for Three Parameter Distributions (gnlm) |
df.residual.lm | Accessing Linear Model Fits (base) |
df.residual.nlr | Nonlinear Regression (gnlm) |
df.residual.stable | Stable Generalized Linear Regression Model (stable) |
dfbetas | Regression Diagnostics (base) |
dffits | Regression Diagnostics (base) |
dgamma | The Gamma Distribution (base) |
dgammacount | The Gamma Count Distribution (rmutil) |
dgeom | The Geometric Distribution (base) |
dget | Write an Internal Object to a File (base) |
dgextval | The Generalized Extreme Value Distribution (rmutil) |
dggamma | The Generalized Gamma Distribution (rmutil) |
dginvgauss | The Generalized Inverse Gaussian Distribution (rmutil) |
dglogis | The Generalized Logistic Distribution (rmutil) |
dgweibull | The Generalized Weibull Distribution (rmutil) |
dhjorth | The Hjorth Distribution (rmutil) |
dhyper | The Hypergeometric Distribution (base) |
diag | Matrix Diagonals (base) |
diag<- | Matrix Diagonals (base) |
diana | Divisive Analysis (cluster) |
diana.object | Divisive Analysis Object (cluster) |
diff | Lagged Differences (base) |
diff.default | Lagged Differences (base) |
diff.ts | diff Method for ts Objects (ts) |
diffeq | Find Future Values of a Difference Equation (timeslab) |
diffinv | Discrete Integrals: Inverse of Differencing (ts) |
diffinv.default | Discrete Integrals: Inverse of Differencing (ts) |
diffinv.ts | Discrete Integrals: Inverse of Differencing (ts) |
diffinv.vec | Discrete Integrals: Inverse of Differencing (ts) |
digamma | Digamma Function (MASS) |
Dim | Extract Dimensions from an Object (nlme) |
dim | Dimensions of an Object (base) |
Dim.corSpatial | Dimensions of a corSpatial Object (nlme) |
Dim.corStruct | Dimensions of a corStruct Object (nlme) |
dim.data.frame | Dimensions of an Object (base) |
Dim.pdCompSymm | Dimensions of a pdMat Object (nlme) |
Dim.pdDiag | Dimensions of a pdMat Object (nlme) |
Dim.pdIdent | Dimensions of a pdMat Object (nlme) |
Dim.pdMat | Dimensions of a pdMat Object (nlme) |
dim<- | Dimensions of an Object (base) |
dimnames | Dimnames of an Object (base) |
dimnames.data.frame | Dimnames of an Object (base) |
dimnames<- | Dimnames of an Object (base) |
dimnames<-.data.frame | Dimnames of an Object (base) |
dinvgauss | The Inverse Gaussian Distribution (rmutil) |
dir | List the Files in a Directory/Folder (base) |
dir.create | File Manipulation (base) |
dirname | File Manipulation (base) |
discoveries | Numbers of Important Discoveries (base) |
Discrete | Discrete Distribution (e1071) |
dissimilarity.object | Dissimilarity Matrix Object (cluster) |
dist | Distance Matrix Computation (mva) |
divpoly | Divide Two Polynomials (timeslab) |
dlaplace | The Laplace Distribution (rmutil) |
dlevy | The Levy Distribution (rmutil) |
dlnorm | The Log Normal Distribution (base) |
dlogis | The Logistic Distribution (base) |
dlogspline | Logspline Density Estimation (logspline) |
dmultbinom | The Multiplicative Binomial Distribution (rmutil) |
dmultpois | The Multiplicative Poisson Distribution (rmutil) |
dmvnorm | The Multivariate Normal Distribution (e1071) |
DNA | Primate splice-junction gene sequences (DNA) (mlbench) |
dnbinom | The Negative Binomial Distribution (base) |
dnchisq | Defunct Functions (base) |
dnorm | The Normal Distribution (base) |
do.call | Execute a Function Call (base) |
dof | Degrees of Freedom of Wavelet (wavethresh) |
dot | Calculate Inner Product of Two Vectors (timeslab) |
dotplot | Cleveland Dot Plots (base) |
double | Double Precision Vectors (base) |
Double Binomial | The Double Binomial Distribution (rmutil) |
Double Poisson | The Double Poisson Distribution (rmutil) |
download.file | Download Packages from CRAN (base) |
download.packages | Download Packages from CRAN (base) |
downs.bc | Incidence of Down's Syndrome in British Columbia (boot) |
dpareto | The Pareto Distribution (rmutil) |
dpih | Select a Histogram Bin Width (KernSmooth) |
dpik | Select a Bandwidth for Kernel Density Estimation (KernSmooth) |
dpill | Select a Bandwidth for Local Linear Regression (KernSmooth) |
dpois | The Poisson Distribution (base) |
dpowexp | The power exponential Distribution (rmutil) |
dput | Write an Internal Object to a File (base) |
draw | Draw Wavelets - Generic function (wavethresh) |
draw.default | Draw a Picture of a Wavelet (wavethresh) |
draw.imwd | Draw Wavelet Corresponding to Wavelet Object (wavethresh) |
draw.imwdc | Draw Wavelet Corresponding to Wavelet Object (wavethresh) |
draw.wd | Draw Wavelet Corresponding to Wavelet Object (wavethresh) |
drivers | Deaths of Car Drivers in Great Britain 1969-84 (MASS) |
drop | Drop Redundant Extent Information (base) |
drop.scope | Compute Allowed Changes in Adding to or Dropping from a Formula (base) |
drop.terms | Modify Terms Objects (base) |
drop1 | Add or Drop All Possible Single Terms to a Model (base) |
drop1.default | Add or Drop All Possible Single Terms to a Model (base) |
drop1.glm | Add or Drop All Possible Single Terms to a Model (base) |
drop1.lm | Add or Drop All Possible Single Terms to a Model (base) |
drop1.mlm | Add or Drop All Possible Single Terms to a Model (base) |
dropterm | Try All One-Term Deletions from a Model (MASS) |
dsignrank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
dstable | The Stable Distribution (stable) |
dt | The Student t Distribution (base) |
dtarma | Calculate Exact ARMA MLE's (timeslab) |
ducks | Behavioral and Plumage Characteristics of Hybrid Ducks (boot) |
dummy.coef | Extract Coefficients in Original Coding (base) |
dummy.coef.aovlist | Extract Coefficients in Original Coding (base) |
dummy.coef.lm | Extract Coefficients in Original Coding (base) |
dump | Text Representations of R Objects (base) |
dunif | The Uniform Distribution (base) |
duplicated | Determine Duplicate Elements (base) |
dweibull | The Weibull Distribution (base) |
dwilcox | Distribution of the Wilcoxon Rank Sum Statistic (base) |
dwtest | Durbin-Watson-Test (lmtest) |
dyn.load | Foreign Function Interface (base) |
dyn.unload | Foreign Function Interface (base) |
dynload | Foreign Function Interface (base) |
eagles | Foraging Ecology of Bald Eagles (MASS) |
ecdf | Empirical Cumulative Distribution Function (stepfun) |
Eckerle4 | Circular interference data (NISTnls) |
edit | Invoke a Text Editor (base) |
eff.aovlist | Compute Efficiencies of Multistratum Analysis of Variance (base) |
effects | Effects from Fitted Model (base) |
effects.glm | Effects from Fitted Model (base) |
effects.lm | Effects from Fitted Model (base) |
ehr | Fit an Intensity Function to Event Histories (event) |
eigen | Spectral Decomposition of a Matrix (base) |
element | Extract Elements of an Array (e1071) |
elliptic | Multivariate elliptically-contoured and Student t repeated measurements models for linear and nonlinear changes over time in the presence of time-varying covariates and with AR(1) and two levels of variance components (growth) |
else | Control Flow (base) |
em.norm | EM algorithm for incomplete normal data (norm) |
emacs | Invoke a Text Editor (base) |
embed | Embedding a Time Series (ts) |
emclust | BIC from hierarchical clustering followed by EM for several parameterized Gaussian mixture models. (mclust) |
emclust1 | BIC from hierarchical clustering followed by EM for a parameterized Gaussian mixture model. (mclust) |
empinf | Empirical Influence Values (boot) |
encode | general encoding for classification (snns) |
end | Encode the Terminal Times of Time Series (base) |
end.default | Encode the Terminal Times of Time Series (base) |
ENSO | Atmospheric pressure differences (NISTnls) |
envelope | Confidence Envelopes for Curves (boot) |
environment | Environment Access (base) |
environment<- | Environment Access (base) |
eqscplot | Plots with Geometrically Equal Scales (MASS) |
erase.screen | Creating and Controlling Multiple Screens on a Single Device (base) |
error.nn.pattern | Output error of an NN (snns) |
esoph | Smoking, Alcohol and (O)esophageal Cancer (base) |
est.variogram | Variogram Estimator (sgeostat) |
estep | E-step for parameterized MVN mixture models (mclust) |
estep.EEE | E-step for constant-variance MVN mixture models (mclust) |
estep.EI | E-step for spherical, constant-volume MVN mixture models (mclust) |
estep.VI | E-step for spherical, varying volume MVN mixture models (mclust) |
estep.VVV | E-step for constant-variance MVN mixture models (mclust) |
estep.XEV | E-step for constant shape MVN mixture models (mclust) |
ethanol | Exhaust emissions (locfit) |
euro | Euro Conversion Rates (base) |
euro.cross | Euro Conversion Rates (base) |
eurodist | Distances Between Cities in Europe (base) |
EuStockMarkets | Daily Closing Prices of Major European Stock Indices, 1991-1998. (ts) |
eval | Evaluate an (Unevaluated) Expression (base) |
eval.parent | Evaluate an (Unevaluated) Expression (base) |
evalq | Evaluate an (Unevaluated) Expression (base) |
event | Event History Analysis Library (event) |
example | Run an Examples Section from the Online Help (base) |
exists | Is an Object Defined? (base) |
exp | Logarithms and Exponentials (base) |
exp.tilt | Exponential Tilting (boot) |
expand.grid | Create a Data Frame from All Combinations of Factors (base) |
expcov | Spatial Covariance Functions (spatial) |
Exponential | The Exponential Distribution (base) |
expression | Unevaluated Expressions (base) |
Extract | Extract or Replace Parts of an Object (base) |
extractAIC | Choose a model by AIC in a Stepwise Algorithm (MASS) |
extractAIC.aov | Extract AIC from a Fitted Model (base) |
extractAIC.coxph | Extract AIC from a Fitted Model (base) |
extractAIC.glm | Extract AIC from a Fitted Model (base) |
extractAIC.lm | Extract AIC from a Fitted Model (base) |
extractAIC.negbin | Extract AIC from a Fitted Model (base) |
extractAIC.survreg | Extract AIC from a Fitted Model (base) |
Extremes | Maxima and Minima (base) |
F | Logical Vectors (base) |
factor | Factors (base) |
factor.scope | Compute Allowed Changes in Adding to or Dropping from a Formula (base) |
faithful | Old Faithful Geyser Data (base) |
FALSE | Logical Vectors (base) |
family | Family Objects for Models (base) |
family.glm | Accessing Generalized Linear Model Fits (base) |
family.lm | Accessing Linear Model Fits (base) |
fanny | Fuzzy Analysis (cluster) |
fanny.object | Fuzzy Analysis Object (cluster) |
farms | Ecological Factors in Farm Management (MASS) |
fda | Flexible Discriminant Analysis (mda) |
fdeaths | Monthly Deaths from Lung Diseases in the UK (MASS) |
FDist | The F Distribution (base) |
fft | Fast Discrete Fourier Transform (base) |
fgl | Measurements of Forensic Glass Fragments (MASS) |
file | File Manipulation (base) |
file.append | File Manipulation (base) |
file.choose | Choose a File Interactively (base) |
file.create | File Manipulation (base) |
file.exists | File Manipulation (base) |
file.path | Construct Path to File (base) |
file.remove | File Manipulation (base) |
file.show | Display One or More Files (base) |
filled.contour | Level (Contour) Plots (base) |
filt | Apply a Linear Filter to a Vector (timeslab) |
filter | Linear Filtering on a Time Series (ts) |
filter.select | Wavelet Filter Coefficients (wavethresh) |
find | Find Objects by (Partial) Name (base) |
find.classes | find classes of NN output (snns) |
find.classes.nn.pattern (x, byname=FALSE, method="WTA", low=0, high=0) | find classes of NN output (snns) |
finterp | Formula interpreter (rmutil) |
fir | Counts of Balsam-fir Seedlings (boot) |
first.last | Build a first/last database for wavelet transforms (wavethresh) |
fisher.test | Fisher's Exact Test for Count Data (ctest) |
fit.dist | Fit a Probability Distribution to Frequency Data (gnlm) |
fit.exponential | Variogram Model Fit (sgeostat) |
fit.gaussian | Variogram Model Fit (sgeostat) |
fit.linear | Variogram Model Fit (sgeostat) |
fit.spherical | Variogram Model Fit (sgeostat) |
fit.variogram | Variogram Model Fit (sgeostat) |
fit.wave | Variogram Model Fit (sgeostat) |
fitted | Extract Model Fitted Values (base) |
fitted.default | Extract Model Fitted Values (base) |
fitted.gar | Generalized autoregression (repeated) |
fitted.garch | Fit GARCH Models to Time Series (tseries) |
fitted.glm | Extract Model Fitted Values (base) |
fitted.gls | Extract gls Fitted Values (nlme) |
fitted.glsStruct | Calculate glsStruct Fitted Values (nlme) |
fitted.gnls | Extract gnls Fitted Values (nlme) |
fitted.gnlsStruct | Calculate gnlsStruct Fitted Values (nlme) |
fitted.lm | Extract Model Fitted Values (base) |
fitted.lme | Extract lme Fitted Values (nlme) |
fitted.lmeStruct | Calculate lmeStruct Fitted Values (nlme) |
fitted.lmList | Extract lmList Fitted Values (nlme) |
fitted.locfit | Fitted values for a `"locfit"' object. (locfit) |
fitted.nbkal | Negative Binomial Model with Kalman Update (repeated) |
fitted.nlmeStruct | Calculate nlmeStruct Fitted Values (nlme) |
fitted.nls | Nonlinear Least Squares (nls) |
fitted.tukeyline | Robust Line Fitting (eda) |
fitted.values | Extract Model Fitted Values (base) |
fitted.values.fmr | Fit a Generalized Nonlinear Regression Model with a Two or Three Point Mixture (gnlm) |
fitted.values.glm | Accessing Generalized Linear Model Fits (base) |
fitted.values.gnlr | Fit a Generalized Nonlinear Regression Model (gnlm) |
fitted.values.gnlr3 | Fit a Generalized Nonlinear Regression Model for Three Parameter Distributions (gnlm) |
fitted.values.lm | Accessing Linear Model Fits (base) |
fitted.values.nlr | Nonlinear Regression (gnlm) |
fitted.values.stable | Stable Generalized Linear Regression Model (stable) |
fitted.values.tukeyline | Robust Line Fitting (eda) |
fivenum | Tukey Five-Number Summaries (base) |
fix | Fix an Object (base) |
fixed.effects | Extract Fixed Effects (nlme) |
fixed.effects.lme | Extract lme Fixed Effects (nlme) |
fixed.effects.lmList | Extract lmList Fixed Effects (nlme) |
fixef | Extract Fixed Effects (nlme) |
fixef.lme | Extract lme Fixed Effects (nlme) |
fixef.lmList | Extract lmList Fixed Effects (nlme) |
flame | Response surface for a intensity Results from an analytical chemistry lab at NCSU. The intensity of emitted light when a solution with Lithium is ionized in a flame. The two independent variables are the fuel and O2 flow rates for the flame. The goal is to identify flow rates that maximize the intensity. The ridge in this surface may be due to stoichiometric ratio of how the fuel and the oxygen combine to burn. A maxima is located near the edge of the operating region but it was found that for setting of flow rates outside the experimental region the mixture tended to explode! Data was generously provided by Charles Boss and Kevin Buckley. (funfits) |
floor | Rounding of Numbers (base) |
flou | Fuzzy Coding (3-Way) (multiv) |
flower | Flower Characteristics (cluster) |
fmr | Fit a Generalized Nonlinear Regression Model with a Two or Three Point Mixture (gnlm) |
fnenvir | Check covariates and parameters of a function (rmutil) |
for | Control Flow (base) |
forbes | Forbes' Data on Boiling Points in the Alps (MASS) |
Foreign | Foreign Function Interface (base) |
Formaldehyde | Determination of Formaldehyde (base) |
formals | Access to and Manipulation of the Formal Arguments (base) |
formals<- | Access to and Manipulation of the Formal Arguments (base) |
format | Encode in a Common Format (base) |
format.char | Flexible Formatting (base) |
format.default | Encode in a Common Format (base) |
format.info | format(.) Information (base) |
format.pval | Encode in a Common Format (base) |
formatC | Flexible Formatting (base) |
formula | Model Formulae (base) |
formula.corStruct | Extract corStruct Object Formula (nlme) |
formula.data.frame | Model Formulae (base) |
formula.default | Model Formulae (base) |
formula.formula | Model Formulae (base) |
formula.gls | Extract gls Object Formula (nlme) |
formula.gnls | Extract gnls Object Formula (nlme) |
formula.groupedData | Extract groupedData Formula (nlme) |
formula.lm | Accessing Linear Model Fits (base) |
formula.lme | Extract lme Object Formula (nlme) |
formula.lmList | Extract lmList Object Formula (nlme) |
formula.modelStruct | Extract modelStruct Object Formula (nlme) |
formula.nlme | Extract nlme Object Formula (nlme) |
formula.nls | Extract Model Formula from nls Object (nlme) |
formula.nlsList | Extract nlsList Object Formula (nlme) |
formula.pdBlocked | Extract pdBlocked Formula (nlme) |
formula.pdMat | Extract pdMat Formula (nlme) |
formula.reStruct | Extract reStruct Object Formula (nlme) |
formula.terms | Model Formulae (base) |
formula.varComb | Extract varFunc Formula (nlme) |
formula.varFunc | Extract varFunc Formula (nlme) |
forwardsolve | Solve an Upper or Lower Triangular System (base) |
fracdiff | fracdiff: Maximum likelihood parameter estimates for (fracdiff) |
fracdiff.sim | fracdiff.sim: test problem generator for fracdiff (fracdiff) |
fracdiff.var | Recompute Covariance Estimate for fracdiff (fracdiff) |
fractions | Rational Approximations to in Fraction Form (rational) |
frailty | (Approximate) Frailty models (survival5) |
frailty.gamma | (Approximate) Frailty models (survival5) |
frailty.gaussian | (Approximate) Frailty models (survival5) |
frailty.t | (Approximate) Frailty models (survival5) |
frame | Create / Start a New Plot Frame (base) |
freeny | Freeny's Revenue Data (base) |
freq.array | Bootstrap Frequency Arrays (boot) |
freqs | Form Vector of Natural (Nyquist) Frequencies (timeslab) |
frequency | Sampling Times of Time Series (base) |
frequency.default | Sampling Times of Time Series (base) |
frequency.polygon | Plots frequency polygon (haerdle) |
frets | Head Dimensions in Brothers (boot) |
friedman.test | Friedman Rank Sum Test (ctest) |
function | Function Definition (base) |
G.Warpingreg | Cross-validation for WARPing regression (haerdle) |
GAGurine | Level of GAG in Urine of Children (MASS) |
galaxies | Velocities for 82 Galaxies (MASS) |
Gamma | Family Objects for Models (base) |
gamma | Special Functions of Mathematics (base) |
Gamma Count | The Gamma Count Distribution (rmutil) |
gamma.dispersion | Calculate the MLE of the Gamma Dispersion Parameter in a GLM Fit (MASS) |
gamma.shape.glm | Estimate the Shape Parameter of the Gamma Distribution in a GLM Fit (MASS) |
gammaCody | Bessel Functions (base) |
GammaDist | The Gamma Distribution (base) |
gapply | Apply a Function by Groups (nlme) |
gar | Generalized autoregression (repeated) |
garch | Fit GARCH Models to Time Series (tseries) |
gaucov | Spatial Covariance Functions (spatial) |
gauss.hermite | Calculate Gauss-Hermite Quadrature Points (rmutil) |
Gauss1 | Generated data (NISTnls) |
Gauss2 | Generated data (NISTnls) |
Gauss3 | Generated data (NISTnls) |
gaussian | Family Objects for Models (base) |
gc | Garbage Collection (base) |
gcinfo | Garbage Collection (base) |
gctorture | Torture Garbage Collector (base) |
gee | Function to solve a Generalized Estimation Equation Model (gee) |
gehan | Remission Times of Leukaemia Patients (MASS) |
gelman.diag | Gelman and Rubin's diagnostic (coda) |
gelman.plot | Gelman-Rubin-Brooks plot (coda) |
gen.ridge | Perform a penalized regression, as used by pda() (mda) |
Generalized Extreme Value | The Generalized Extreme Value Distribution (rmutil) |
Generalized Gamma | The Generalized Gamma Distribution (rmutil) |
Generalized Inverse Gaussian | The Generalized Inverse Gaussian Distribution (rmutil) |
Generalized Logistic | The Generalized Logistic Distribution (rmutil) |
Generalized Weibull | The Generalized Weibull Distribution (rmutil) |
genotype | The Rat Genotype Data (Rnotes) |
Geometric | The Geometric Distribution (base) |
get | Return a Variable's Value (base) |
get.hist.quote | Download Historical Finance Data (tseries) |
get.lam | Projection Index (princurve) |
getCovariate | Extract Covariate from an Object (nlme) |
getCovariate.corSpatial | Extract corStruct Object Covariate (nlme) |
getCovariate.corStruct | Extract corStruct Object Covariate (nlme) |
getCovariate.data.frame | Extract Data Frame Covariate (nlme) |
getCovariate.varFunc | Extract varFunc Covariate (nlme) |
getCovariateFormula | Extract Covariates Formula (nlme) |
getData | Extract Data from an Object (nlme) |
getData.gls | Extract gls Object Data (nlme) |
getData.lme | Extract lme Object Data (nlme) |
getData.lmList | Extract lmList Object Data (nlme) |
getenv | Get Environment Variables (base) |
getGroups | Extract Grouping Factors from an Object (nlme) |
getGroups.corStruct | Extract corStruct Groups (nlme) |
getGroups.data.frame | Extract Groups from a Data Frame (nlme) |
getGroups.gls | Extract gls Object Groups (nlme) |
getGroups.lme | Extract lme Object Groups (nlme) |
getGroups.lmList | Extract lmList Object Groups (nlme) |
getGroups.varFunc | Extract varFunc Groups (nlme) |
getGroupsFormula | Extract Grouping Formula (nlme) |
getGroupsFormula.default | Extract Grouping Formula (nlme) |
getGroupsFormula.gls | Extract gls Object Grouping Formula (nlme) |
getGroupsFormula.lme | Extract lme Object Grouping Formula (nlme) |
getGroupsFormula.lmList | Extract lmList Object Grouping Formula (nlme) |
getGroupsFormula.reStruct | Extract reStruct Grouping Formula (nlme) |
getInitial | Get Initial Parameter Estimates (nls) |
getInitial.default | Get Initial Parameter Estimates (nls) |
getInitial.formula | Get Initial Parameter Estimates (nls) |
getInitial.selfStart | Get Initial Parameter Estimates (nls) |
getparam.norm | Extract normal parameters from packed storage (norm) |
getResponse | Extract Response Variable from an Object (nlme) |
getResponse.data.frame | Extract Response from a Data Frame (nlme) |
getResponse.gls | Extract gls Object Response (nlme) |
getResponse.lme | Extract lme Object Response (nlme) |
getResponse.lmList | Extract lmList Object Response (nlme) |
getResponseFormula | Extract Formula Specifying Response Variable (nlme) |
gettvc | Find the most recent value of a time-varying covariate before each observed response and possibly add them to a list of other time-varying covariates. (rmutil) |
getwd | Get or Set Working Directory (base) |
geweke.diag | Geweke's convergence diagnostic for Markov chains (coda) |
geweke.plot | Geweke-Brooks plot (coda) |
geyser | Old Faithful Geyser Dataset (locfit) |
gilgais | Line Transect of Soil in Gilgai Territory (MASS) |
ginv | Generalized Inverse of a Matrix (MASS) |
gl | Generate Factor Levels (base) |
Glass | Glass Identification Database (mlbench) |
glass | Glass Identification Database (mda) |
glm | Fitting Generalized Linear Models (base) |
glm.control | Fitting Generalized Linear Models (base) |
glm.convert | Change a Negative Binomial fit to a GLM fit (MASS) |
glm.diag | Generalized Linear Model Diagnostics (boot) |
glm.diag.plots | Diagnostics plots for generalized linear models (boot) |
glm.fit | Fitting Generalized Linear Models (base) |
glm.fit.null | Fitting Generalized Linear Models (base) |
glm.nb | Fit a Negative Binomial Generalized Linear Model (MASS) |
glm.summaries | Accessing Generalized Linear Model Fits (base) |
glmm | Generalized Linear Mixed Models (repeated) |
globalenv | Environment Access (base) |
gls | Fit Linear Model Using Generalized Least Squares (nlme) |
glsControl | Control Values for gls Fit (nlme) |
glsObject | Fitted gls Object (nlme) |
glsStruct | Generalized Least Squares Structure (nlme) |
gnlm | Generalized Nonlinear Regression Library (gnlm) |
gnlmm | Fit a Generalized Nonlinear Mixed Model (repeated) |
gnlr | Fit a Generalized Nonlinear Regression Model (gnlm) |
gnlr3 | Fit a Generalized Nonlinear Regression Model for Three Parameter Distributions (gnlm) |
gnls | Fit Nonlinear Model Using Generalized Least Squares (nlme) |
gnlsControl | Control Values for gnls Fit (nlme) |
gnlsObject | Fitted gnls Object (nlme) |
gnlsStruct | Generalized Nonlinear Least Squares Structure (nlme) |
GNOME | GNOME Desktop Graphics Device (base) |
Gnome | GNOME Desktop Graphics Device (base) |
gnome | GNOME Desktop Graphics Device (base) |
gqtest | Goldfeld-Quandt-Test (lmtest) |
graphics.off | Control Multiple Devices (base) |
grav | Acceleration Due to Gravity (boot) |
gravity | Acceleration Due to Gravity (boot) |
gray | Gray Level Specification (base) |
grep | Pattern Matching and Replacement (base) |
grid | Add Grid to a Plot (base) |
groupedData | Construct a groupedData Object (nlme) |
growth | Normal Theory Repeated Measurements Library (growth) |
GS.Warping | Golden section bootstrap for WARPing regression (haerdle) |
gssanova | Fitting Smoothing Spline ANOVA Models with Non Gaussian Responses (gss) |
gsub | Pattern Matching and Replacement (base) |
gsummary | Summarize by Groups (nlme) |
Hahn1 | Thermal expansion data (NISTnls) |
HairEyeColor | Hair and Eye Color of Statistics Students (base) |
hamming.distance | Hamming Distances of Vectors (e1071) |
hamming.window | Computes the Coefficients of a Hamming Window. (e1071) |
hanning.window | Computes the Coefficients of a Hanning Window. (e1071) |
hardcl | Convex Clustering (cclust) |
harvtest | Harvey-Collier-Test (lmtest) |
hasTsp | Tsp Attribute of Time-Series-like Objects (base) |
hat | Regression Diagnostics (base) |
hatmatrix | Weight diagrams and the hat matrix for a local regression model. (locfit) |
hboxcox | The Box-Cox Distribution (rmutil) |
hburr | The Burr Distribution (rmutil) |
hcauchy | Hazard Function for a Cauchy Process (event) |
hclust | Hierarchical Clustering (mva) |
hcv | Cross-validatory choice of smoothing parameter (sm) |
hdf5 | Interface to the HDF5 Library (base) |
hdf5load | Interface to the HDF5 Library (base) |
hdf5save | Interface to the HDF5 Library (base) |
heart | Stanford Heart Transplant data (survival5) |
heat.colors | Color Palettes (base) |
heidel.diag | Heidelberger and Welch's convergence diagnostic (coda) |
help | Documentation (base) |
help.search | Search the Help System (base) |
help.start | Hypertext Documentation (base) |
hexp | Hazard Function for a Poisson Process (event) |
hgamma | Hazard Function for a Gamma Process (event) |
hgextval | The Generalized Extreme Value Distribution (rmutil) |
hggamma | The Generalized Gamma Distribution (rmutil) |
hglogis | The Generalized Logistic Distribution (rmutil) |
hgweibull | The Generalized Weibull Distribution (rmutil) |
hhjorth | The Hjorth Distribution (rmutil) |
hidden | Hidden Markov Chain Models (repeated) |
hierclust | Hierarchical Clustering (multiv) |
hills | Record Times in Scottish Hill Races (MASS) |
hinvgauss | The Inverse Gaussian Distribution (rmutil) |
hirose | Failure Time of PET Film (boot) |
hist | Histograms (base) |
hist.default | Histograms (base) |
histogram | Haerdle's histogram function (haerdle) |
histogram.normal.ref | histogram with automatic binwidth (haerdle) |
Hjorth | The Hjorth Distribution (rmutil) |
hlaplace | The Laplace Distribution (rmutil) |
hlnorm | Hazard Function for a Log Normal Process (event) |
hlogis | Hazard Function for a Logistic Process (event) |
hmctest | Harrison-McCabe-Test (lmtest) |
hnorm | Normal optimal choice of smoothing parameter in density estimation (sm) |
hours | Return Hours, Minutes, or Seconds from a Times Object (chron) |
house | The Tuggeranong House Price Data (Rnotes) |
HouseVotes84 | United States Congressional Voting Records 1984 (mlbench) |
housing | Frequency Table from a Copenhagen Housing Conditions Survey. (MASS) |
hpareto | The Pareto Distribution (rmutil) |
hsj | Sheather-Jones choice of smoothing parameter for density estimation (sm) |
hstable | The Stable Distribution (stable) |
hstudent | Hazard Function for a Student t Process (event) |
hsv | HSV Color Specification (base) |
huber | Huber M-estimator of Location with MAD Scale (MASS) |
hubers | Huber "proposal 2" Robust Estimator of Location and/or Scale (MASS) |
hweibull | Hazard Function for a Weibull Process (event) |
Hyperbolic | Hyperbolic Functions (base) |
Hypergeometric | The Hypergeometric Distribution (base) |
I | Model Formulae (base) |
ica | Independent Component Analysis (e1071) |
ident | Create an Individual Identification Vector for a Point Process (event) |
identify | Identify Points in a Scatter Plot (base) |
identify.default | Identify Points in a Scatter Plot (base) |
identify.point | Identify points on a Point Object (sgeostat) |
identify.tri | Identify points in a triangulation plot (tripack) |
if | Control Flow (base) |
ifelse | Conditional Element Selection (base) |
Im | Complex Vectors (base) |
image | Display a Color Image (base) |
immer | Yields from a Barley Field Trial (MASS) |
Imp.Estimates | Importance Sampling Estimates (boot) |
imp.moments | Importance Sampling Estimates (boot) |
imp.norm | Impute missing multivariate normal data (norm) |
imp.prob | Importance Sampling Estimates (boot) |
imp.quantile | Importance Sampling Estimates (boot) |
imp.weights | Importance Sampling Weights. (boot) |
imwd | 2D Discrete Wavelet Transform (Image W. Decomposition) (wavethresh) |
imwd.object | 2d Wavelet Decomposition Object (wavethresh) |
imwdc.object | Compressed 2D wavelet decomposition object (wavethresh) |
imwr | 2D Inverse Discrete Wavelet Transform (Image W. Reconstruction) (wavethresh) |
imwr.imwd | 2D Inverse Discrete Wavelet Transform (Image W. Reconstruction) (wavethresh) |
imwr.imwdc | 2D Inverse Discrete Wavelet Transform (Image W. Reconstruction) (wavethresh) |
in.convex.hull | Determines if points are in the convex hull of a triangulation object (tripack) |
index.search | Search Indices for Help Files (base) |
Inf | Finite, Infinite and NaN Numbers (base) |
infert | Infertility after Spontaneous and Induced Abortion (base) |
influence.measures | Regression Diagnostics (base) |
infqnt | Plot Informative Quantile Function of a Data Set (timeslab) |
inherits | Object Classes (base) |
initialize | Initialize Object (nlme) |
initialize.corAR1 | Initialize corStruct Object (nlme) |
initialize.corARMA | Initialize corStruct Object (nlme) |
initialize.corCAR1 | Initialize corStruct Object (nlme) |
initialize.corCompSymm | Initialize corStruct Object (nlme) |
initialize.corHF | Initialize corStruct Object (nlme) |
initialize.corIdent | Initialize corStruct Object (nlme) |
initialize.corLin | Initialize corStruct Object (nlme) |
initialize.corSpatial | Initialize corStruct Object (nlme) |
initialize.corSpher | Initialize corStruct Object (nlme) |
initialize.corStruct | Initialize corStruct Object (nlme) |
initialize.corSymm | Initialize corStruct Object (nlme) |
initialize.glsStruct | Initialize a glsStruct Object (nlme) |
initialize.lmeStruct | Initialize an lmeStruct Object (nlme) |
initialize.reStruct | Initialize reStruct Object (nlme) |
initialize.varComb | Initialize varFunc Object (nlme) |
initialize.varConstPower | Initialize varFunc Object (nlme) |
initialize.varExp | Initialize varFunc Object (nlme) |
initialize.varFixed | Initialize varFunc Object (nlme) |
initialize.varFunc | Initialize varFunc Object (nlme) |
initialize.varIdent | Initialize varFunc Object (nlme) |
initialize.varPower | Initialize varFunc Object (nlme) |
InsectSprays | Effectiveness of Insect Sprays (base) |
INSTALL | Install Add-on Packages (base) |
install.packages | Download Packages from CRAN (base) |
installed.packages | Download Packages from CRAN (base) |
Insurance | Numbers of Car Insurance claims (MASS) |
int | Numerical Integration of a Function (rmutil) |
integer | Integer Vectors (base) |
integral | Integrate a Polynomial (polynom) |
integral.polynomial | Integrate a Polynomial (polynom) |
integrate | Adaptive Integration in 1--20 Dimensions. (integrate) |
interaction | Compute Factor Interactions (base) |
interactive | Is R Running Interactively? (base) |
Internal | Call an Internal Function (base) |
interp | Gridded Bivariate Interpolation for Irregular Data (akima) |
interp.new | Gridded Bivariate Interpolation for Irregular Data (akima) |
interp.old | Gridded Bivariate Interpolation for Irregular Data (akima) |
interpolate | Interpolate Values of Array (e1071) |
interpp | Pointwise Bivariate Interpolation for Irregular Data (akima) |
interpp.new | Pointwise Bivariate Interpolation for Irregular Data (akima) |
interpp.old | Pointwise Bivariate Interpolation for Irregular Data (akima) |
interpSpline | Create an Interpolation Spline (splines) |
interpSpline.default | Create an Interpolation Spline (splines) |
interpSpline.formula | Create an Interpolation Spline (splines) |
intersect | Set Operations (base) |
intervals | Confidence Intervals on Coefficients (nlme) |
intervals.gls | Confidence Intervals on gls Parameters (nlme) |
intervals.lme | Confidence Intervals on lme Parameters (nlme) |
intervals.lmList | Confidence Intervals on lmList Coefficients (nlme) |
inv.logit | Inverse Logit Function (boot) |
Inverse Gaussian | The Inverse Gaussian Distribution (rmutil) |
inverse.gaussian | Family Objects for Models (base) |
invisible | Change the Print Mode to Invisible (base) |
Ionosphere | Johns Hopkins University Ionosphere database (mlbench) |
iowheat | The Iowa Wheat Yield Data (Rnotes) |
iprofile | Produce Individual Time Profiles for Plotting (rmutil) |
IQR | The Interquartile Range (base) |
iris | Fisher's Iris Data (subset) (locfit) |
iris3 | Edgar Anderson's Iris Data (base) |
is.array | Multi-way Arrays (base) |
is.atomic | Is an Object Atomic or Recursive? (base) |
is.call | Function Calls (base) |
is.character | Character Vectors (base) |
is.complex | Complex Vectors (base) |
is.data.frame | Data Frames (base) |
is.date | Date Objects (date) |
is.double | Double Precision Vectors (base) |
is.element | Set Operations (base) |
is.empty.model | Check if a Model is Empty (base) |
is.environment | Environment Access (base) |
is.expression | Unevaluated Expressions (base) |
is.factor | Factors (base) |
is.finite | Finite, Infinite and NaN Numbers (base) |
is.function | Is an Object of Type Function? (base) |
is.holiday | Find Weekends and Holidays in a Chron or Dates Object (chron) |
is.infinite | Finite, Infinite and NaN Numbers (base) |
is.integer | Integer Vectors (base) |
is.language | Is an Object a Language Object? (base) |
is.list | Lists -- Generic and Dotted Pairs (base) |
is.loaded | Foreign Function Interface (base) |
is.logical | Logical Vectors (base) |
is.matrix | Matrices (base) |
is.mcmc | Markov Chain Monte Carlo Objects (coda) |
is.mcmc.list | Replicated Markov Chain Monte Carlo Objects (coda) |
is.mts | Internal ts functions (ts) |
is.na | Not Available / ``Missing'' Values (base) |
is.na.data.frame | Not Available / ``Missing'' Values (base) |
is.name | Variable Names (base) |
is.nan | Finite, Infinite and NaN Numbers (base) |
is.null | The Null Object (base) |
is.numeric | Numeric Vectors (base) |
is.object | Is an Object ``internally classed''? (base) |
is.ordered | Factors (base) |
is.pairlist | Lists -- Generic and Dotted Pairs (base) |
is.polymars | test for polymars objects (polymars) |
is.polynomial | Polynomials (polynom) |
is.qr | The QR Decomposition of a Matrix (base) |
is.R | Are we using R, rather than S? (base) |
is.ratetable | Verify that an Object is of Class `ratetable' (survival5) |
is.real | Real Vectors (base) |
is.recursive | Is an Object Atomic or Recursive? (base) |
is.single | Is an Object of Single Precision Type? (base) |
is.stepfun | Step Functions (stepfun) |
is.Surv | Create a Survival Object (survival5) |
is.ts | Time-Series Objects (base) |
is.tskernel | Smoothing Kernel Objects (ts) |
is.vector | Vectors (base) |
is.weekend | Find Weekends and Holidays in a Chron or Dates Object (chron) |
isBalanced | Check a Design for Balance (nlme) |
isBalanced.groupedData | Check a Design for Balance (nlme) |
isInitialized | Check if Object is Initialized (nlme) |
isInitialized.pdBlocked | Check if Object is Initialized (nlme) |
isInitialized.pdMat | Check if Object is Initialized (nlme) |
isInitialized.reStruct | Check if an reStruct Object is Initialized (nlme) |
islands | Areas of the World's Major Landmasses (base) |
islay | Jura Quartzite Azimuths on Islay (boot) |
isoMDS | Kruskal's Non-metric Multidimensional Scaling (MASS) |
jack.after.boot | Jackknife-after-Bootstrap Plots (boot) |
jackknife | Jackknife Estimation (bootstrap) |
janka | The Janka hardness data (Rnotes) |
jarque.bera.test | Jarque-Bera Test (tseries) |
jasa1 | Stanford Heart Transplant data (survival5) |
jcity | Location of 49 Japanese Cities (jpn) |
jellyfish | The Jellyfish Data (Rnotes) |
jitter | Add `Jitter' (Noise) to Numbers (base) |
jpn | Plot Japan's Coast Line and Prefectures (jpn) |
jpn.b | Blocking Information of Japanese Coast Lines and Prefecture Boundaries (jpn) |
jpn.x | Longitudes of Japanese Coast Lines and Prefecture Boundaries (jpn) |
jpn.y | Latitudes of Japanese Coast Lines and Prefecture Boundaries (jpn) |
julian | Convert between Julian and Calendar Dates (chron) |
k.nn | k-nearest neighbour non-parametric regression (haerdle) |
k3.linear | Linear Skewness Estimate (boot) |
kalcount | Repeated Measurements Models for Counts in the Presence of Time-varying Covariates and with Frailty or Serial Dependence (repeated) |
kalseries | Repeated Measurements Models for Continuous Variables in the Presence of Time-varying Covariates and with Frailty or Serial Dependence (repeated) |
kalsurv | Repeated Events Models for Changes over Time in the Presence of Time-varying Covariates and with Frailty or Various Types of Serial Dependence (event) |
kalythos | The Kalythos Blindness Data (Rnotes) |
kappa | Estimate the Condition Number (base) |
kappa.default | Estimate the Condition Number (base) |
kappa.lm | Estimate the Condition Number (base) |
kappa.qr | Estimate the Condition Number (base) |
kappa.tri | Estimate the Condition Number (base) |
Kaver | Average K-functions from Simulations (spatial) |
kde | kernel density estimation (haerdle) |
kde2d | Two-Dimensional Kernel Density Estimation (MASS) |
kds.ci | Confidence intervals for kernel density estimates (haerdle) |
Kenvl | Compute Envelope and Average of Simulations of K-fns (spatial) |
kernapply | Apply Smoothing Kernel (ts) |
kernapply.default | Apply Smoothing Kernel (ts) |
kernapply.ts | Apply Smoothing Kernel (ts) |
kernapply.tskernel | Apply Smoothing Kernel (ts) |
kernapply.vector | Apply Smoothing Kernel (ts) |
kernel | Smoothing Kernel Objects (ts) |
Kfn | Compute K-fn of a Point Pattern (spatial) |
kidney | Kidney data from survival5 (survival5) |
Kirby2 | Microscope line width standards (NISTnls) |
km | Kaplan-Meier Survival Curves (event) |
kmeans | Convex Clustering (cclust) |
knn | k-Nearest Neighbour Classification (class) |
knn.cv | k-Nearest Neighbour Cross-Validatory Classification (class) |
knn1 | 1-nearest neighbour classification (class) |
knots | Step Functions (stepfun) |
knots.stepfun | Step Functions (stepfun) |
krig | Kriging surface estimate (funfits) |
krige | Kriging (sgeostat) |
kronecker | Kronecker Product of Arrays (base) |
kruskal.test | Kruskal-Wallis Rank Sum Test (ctest) |
ks.test | Kolmogorov-Smirnov Tests (ctest) |
ksmooth | Kernel Regression Smoother (modreg) |
kurtosis | Kurtosis (e1071) |
labels | Find Labels from Object (base) |
labels.default | Find Labels from Object (base) |
labels.lm | Find Labels from Object (base) |
labels.rpart | Create Split Labels For an Rpart Object (rpart) |
labels.terms | Find Labels from Object (base) |
lag | Lag a Time Series (ts) |
lag.default | Lag a Time Series (ts) |
lagplot | Lag Scatter Plot (sgeostat) |
LakeHuron | Level of Lake Huron 1875-1972 (ts) |
Lanczos1 | Generated data (NISTnls) |
Lanczos2 | Generated data (NISTnls) |
Lanczos3 | Generated data (NISTnls) |
Laplace | The Laplace Distribution (rmutil) |
lapply | Apply a Function over a List or Vector (base) |
laser | Bellcore Experimental Laser Data (xgobi) |
Last.value | Value of Last Evaluated Expression (base) |
layout | Specifying Complex Plot Arrangements (base) |
layout.show | Specifying Complex Plot Arrangements (base) |
lbeta | Special Functions of Mathematics (base) |
lchoose | Special Functions of Mathematics (base) |
lcm | Specifying Complex Plot Arrangements (base) |
lda | Linear Discriminant Analysis (MASS) |
ldahist | Histograms or Density Plots of Multiple Groups (MASS) |
ldeaths | Monthly Deaths from Lung Diseases in the UK (ts) |
leap.year | Convert between Julian and Calendar Dates (chron) |
leaps | all-subsets regressiom (leaps) |
leaps.backward | Internal functions for leaps(), subsets() (leaps) |
leaps.exhaustive | Internal functions for leaps(), subsets() (leaps) |
leaps.forward | Internal functions for leaps(), subsets() (leaps) |
leaps.seqrep | Internal functions for leaps(), subsets() (leaps) |
leaps.setup | Internal functions for leaps(), subsets() (leaps) |
legend | Add Legends to Plots (base) |
length | Length of a Vector or List (base) |
length<- | Length of a Vector or List (base) |
lennon | Image of John Lennon (wavethresh) |
LetterRecognition | Letter Image Recognition Data (mlbench) |
LETTERS | Built-in Constants (base) |
letters | Built-in Constants (base) |
leuk | Survival Times and White Blood Counts for Leukaemia Patients (boot) |
leukemia | Acute Myelogenous Leukemia survival data (survival5) |
levels | Levels Attributes (base) |
levels.factor | Factor Levels Assignment (base) |
levels<- | Levels Attributes (base) |
levels<-.default | Levels Attributes (base) |
levels<-.factor | Factor Levels Assignment (base) |
Levy | The Levy Distribution (rmutil) |
lgamma | Special Functions of Mathematics (base) |
lh | Luteinizing Hormone in Blood Samples (MASS) |
library | Loading and Listing of Packages (base) |
library.dynam | Loading Shared Libraries (base) |
licence | The R License Terms (base) |
license | The R License Terms (base) |
LifeCycleSavings | Intercountry Life-Cycle Savings Data (base) |
line | Robust Line Fitting (eda) |
linear.approx | Linear Approximation of Bootstrap Replicates (boot) |
lines | Add Connected Line Segments to a Plot (base) |
lines.default | Add Connected Line Segments to a Plot (base) |
lines.locfit | Add `locfit' line to existing plot (locfit) |
lines.polynomial | Lines Method for Polynomials (polynom) |
lines.saddle.distn | Add a Saddlepoint Approximation to a Plot (boot) |
lines.survfit | Add Lines to a Survival Plot (survival5) |
lines.ts | Time-Series Objects (base) |
list | Lists -- Generic and Dotted Pairs (base) |
list.files | List the Files in a Directory/Folder (base) |
lle | Calculates local Lyapunov exponents for plotting. (funfits) |
llik.comp.stable | Stable Generalized Linear Regression Model (stable) |
llik.stable | Stable Generalized Linear Regression Model (stable) |
lm | Fitting Linear Models (base) |
lm.fit | Fitting Linear Models (base) |
lm.fit.null | Fitting Linear Models (base) |
lm.gls | Fit Linear Models by Generalized Least Squares (MASS) |
lm.influence | Regression Diagnostics (base) |
lm.ridge | Ridge Regression (MASS) |
lm.summaries | Accessing Linear Model Fits (base) |
lm.wfit | Fitting Linear Models (base) |
lm.wfit.null | Fitting Linear Models (base) |
lme | Linear Mixed-Effects Models (nlme) |
lme.formula | Linear Mixed-Effects Models (nlme) |
lme.groupedData | LME fit from groupedData Object (nlme) |
lme.lmList | LME fit from lmList Object (nlme) |
lmeControl | Control Values for lme Fit (nlme) |
lmeObject | Fitted lme Object (nlme) |
lmeScale | Scale for lme Optimization (nlme) |
lmeStruct | Linear Mixed-Effects Structure (nlme) |
lmList | List of lm Objects with a Common Model (nlme) |
lmList.formula | List of lm Objects with a Common Model (nlme) |
lmList.groupedData | lmList Fit from a groupedData Object (nlme) |
lmsreg | Resistant Regression (lqs) |
load | Reload Saved Datasets (base) |
loadings | Principal Components Analysis (mva) |
local | Evaluate an (Unevaluated) Expression (base) |
locator | Graphical Input (base) |
locfit | Local Regression, Likelihood and Density Estimation. (locfit) |
locfit.raw | Local Regression, Likelihood and Density Estimation. (locfit) |
locpoly | Estimate Functions Using Local Polynomials (KernSmooth) |
loess | Local Polynomial Regression Fitting (modreg) |
loess.control | Set Parameters for Loess (modreg) |
loess.smooth | Scatter Plot with Smooth Curve Fitted by Loess (modreg) |
Log | Logarithms and Exponentials (base) |
log | Logarithms and Exponentials (base) |
log10 | Logarithms and Exponentials (base) |
log2 | Logarithms and Exponentials (base) |
logDet | Extract the Logarithm of the Determinant (nlme) |
logDet.corStruct | Extract corStruct Log-Determinant (nlme) |
logDet.pdBlocked | Extract Log-Determinant from a pdMat Object (nlme) |
logDet.pdCompSymm | Extract Log-Determinant from a pdMat Object (nlme) |
logDet.pdDiag | Extract Log-Determinant from a pdMat Object (nlme) |
logDet.pdIdent | Extract Log-Determinant from a pdMat Object (nlme) |
logDet.pdMat | Extract Log-Determinant from a pdMat Object (nlme) |
logDet.pdSymm | Extract Log-Determinant from a pdMat Object (nlme) |
logDet.reStruct | Extract reStruct Log-Determinants (nlme) |
Logic | Logical Operators (base) |
logical | Logical Vectors (base) |
logique | Logical Coding (multiv) |
Logistic | The Logistic Distribution (base) |
logit | Logit of Proportions (boot) |
logitord | Ordinal Random Effects Models with Dropouts (repeated) |
logLik | Extract Log-Likelihood (nls) |
loglik | Loglikelihood for model-based hierarchical clustering. (mclust) |
logLik.corStruct | Extract corStruct Log-Likelihood (nlme) |
logLik.gls | Log-Likelihood of a gls Object (nlme) |
logLik.glsStruct | Log-Likelihood of a glsStruct Object (nlme) |
logLik.gnls | Log-Likelihood of a gnls Object (nlme) |
logLik.gnlsStruct | Log-Likelihood of a gnlsStruct Object (nlme) |
logLik.lm | Extract Log-Likelihood from an lm Object (nlme) |
logLik.lme | Log-Likelihood of an lme Object (nlme) |
logLik.lmeStruct | Log-Likelihood of an lmeStruct Object (nlme) |
logLik.lmeStructInt | Log-Likelihood of an lmeStruct Object (nlme) |
logLik.lmList | Log-Likelihood of an lmList Object (nlme) |
logLik.nls | Nonlinear Least Squares (nls) |
loglik.norm | Observed-data loglikelihood for normal data (norm) |
logLik.reStruct | Calculate reStruct Log-Likelihood (nlme) |
logLik.varComb | Extract varFunc logLik (nlme) |
logLik.varFunc | Extract varFunc logLik (nlme) |
loglin | Fitting Log-Linear Models (base) |
loglm | Fit Log-Linear Models by Iterative Proportional Scaling (MASS) |
Lognormal | The Log Normal Distribution (base) |
logpost.norm | Observed-data log-posterior for normal data (norm) |
logspline.fit | Logspline Density Estimation (logspline) |
logspline.plot | Plots a Logspline Density, Distribution Function, Hazard Function or Survival Function. (logspline) |
logspline.summary | Summarizes Various Logspline Density Estimates (logspline) |
logtrans | Estimate log Transformation Parameter (MASS) |
longley | Longley's Regression Data (base) |
lower.tri | Lower and Upper Triangular Part of a Matrix (base) |
lowess | Scatter Plot Smoothing (base) |
lplot | Labeled plot (funfits) |
lqs | Resistant Regression (lqs) |
lqs.default | Resistant Regression (lqs) |
lqs.formula | Resistant Regression (lqs) |
ls | List Objects (base) |
ls.diag | Compute Diagnostics for `lsfit' Regression Results (base) |
ls.print | Print `lsfit' Regression Results (base) |
ls.str | Compactly Display the Structure of an Arbitrary R Object (base) |
lsf.str | Compactly Display the Structure of an Arbitrary R Object (base) |
lsfit | Find the Least Squares Fit (base) |
lt.to.name | Convert notations (wavelet) (wavethresh) |
ltsreg | Resistant Regression (lqs) |
lung | Mayo Clinic Lung Cancer Data (survival5) |
lvq1 | Learning Vector Quantization 1 (class) |
lvq2 | Learning Vector Quantization 2.1 (class) |
lvq3 | Learning Vector Quantization 3 (class) |
lvqinit | Initialize a LVQ Codebook (class) |
lvqtest | Classify Test Set from LVQ Codebook (class) |
lynx | Canadian Lynx Trappings (boot) |
maas | maas- zinc measurements (sgeostat) |
maas.bank | maas.bank - coordinates (sgeostat) |
Machine | Machine Characteristics (base) |
machine | Determine the Machine R is Running On (base) |
macorr | Calculate MA Autocorrelation Function (timeslab) |
mad | Median Absolute Deviation (base) |
madt | Simulate Data from an MA Process (timeslab) |
mahalanobis | Mahalanobis Distance (base) |
make.Amatrix | Matrix relating predicted values to the dependent (Y) values (funfits) |
make.Amatrix.krig | Computes matrix that relates predicted values to the vector of dependent variables (Y) (funfits) |
make.Amatrix.tps | Computes matrix that relates predicted values to the vector of dependent variables (Y) (funfits) |
make.drb | Evaluates the Demmler-Reinsch basis fucntions (funfits) |
make.lags | Lags vectors and covariates correctly so that an autoregressive model can be estimated by regression. (funfits) |
make.link | Create a Link for GLM families (base) |
make.lle | Calculates global and local Lyapunov exponents (funfits) |
make.names | Make Legal R Names Out of Strings (base) |
make.socket | Create a Socket Connection (base) |
make.surface.grid | Makes a grid surface that can be plotted. (funfits) |
make.tables | Create model.tables (base) |
make.tables.aovproj | Create model.tables (base) |
make.tables.aovprojlist | Create model.tables (base) |
makeparam.norm | Convert normal parameters to packed storage (norm) |
mammals | Brain and Body Weights in Mammals (boot) |
manaus | Average Heights of the Rio Negro river at Manaus (boot) |
mantelhaen.test | Mantel-Haenszel Chi-Square Test for Count Data (ctest) |
marg.hom | Marginal Homogeneity Model (repeated) |
mars | Multivariate Additive Regression Splines (mda) |
masmooth | Apply Moving Average Smoother to a Vector (S Version) (timeslab) |
masp | Calculate MA Spectral Density Function (timeslab) |
mat.or.vec | Create a Matrix or a Vector (base) |
match | Value Matching (base) |
match.arg | Argument Verification Using Partial Matching (base) |
match.call | Argument Matching (base) |
match.fun | Function Verification for ``Function Variables'' (base) |
Math | Miscellaneous Mathematical Functions (base) |
Math.data.frame | Internal and Group Methods and Generic Functions (base) |
Math.factor | Internal and Group Methods and Generic Functions (base) |
Math.polynomial | Math Group Methods for Polynomials (polynom) |
matlines | Plot Columns of Matrices (base) |
matmult | Matrix Multiplication (base) |
matplot | Plot Columns of Matrices (base) |
matpoints | Plot Columns of Matrices (base) |
matrix | Matrices (base) |
matrix<- | Assign Matrix Values (nlme) |
matrix<-.pdBlocked | Assign Matrix to a pdMat Object (nlme) |
matrix<-.pdMat | Assign Matrix to a pdMat Object (nlme) |
matrix<-.reStruct | Assign reStruct Matrices (nlme) |
max | Maxima and Minima (base) |
max.col | Find Maximum Position in Matrix (MASS) |
mca | Multiple Correspondence Analysis (MASS) |
mcmc | Markov Chain Monte Carlo Objects (coda) |
mcmc.list | Replicated Markov Chain Monte Carlo Objects (coda) |
mcnemar.test | McNemar's Chi-square Test for Count Data (ctest) |
mcyc | Acc(De?)celeration of a Motorcycle Hitting a Wall (locfit) |
mcycle | Data from a Simulated Motorcycle Accident (boot) |
mda | Mixture Discriminant Analysis (mda) |
mda.norm | Monotone data augmentation for incomplete multivariate normal data (norm) |
mda.start | Provide starting weights for the mda function (mda) |
mdeaths | Monthly Deaths from Lung Diseases in the UK (MASS) |
mdy.date | Convert to Julian dates. (date) |
me | EM for parameterized MVN mixture models (mclust) |
me.EEE | EM for constant-variance MVN mixture models (mclust) |
me.EEV | EM for constant shape, constant volume MVN mixture models (mclust) |
me.EI | EM for spherical, constant-volume MVN mixture models (mclust) |
me.VEV | EM for constant shape, varying volume MVN mixture models (mclust) |
me.VI | EM for spherical, varying volume MVN mixture models (mclust) |
me.VVV | EM for unconstrained MVN mixture models (mclust) |
mean | Arithmetic Mean (base) |
mean.default | Arithmetic Mean (base) |
meanvar.rpart | Mean-Variance Plot for an Rpart Object (rpart) |
median | Median Value (base) |
medpolish | Median Polish of a Matrix (eda) |
Melanoma | Survival from Malignant Melanoma (MASS) |
melanoma | Survival from Malignant Melanoma (boot) |
members | Cluster Memberships (multiv) |
Memory | Memory Available for Data Storage (base) |
memory.profile | Profile the Usage of Cons Cells (base) |
menarche | Age of Menarche data (MASS) |
menu | Menu Interaction Function (base) |
meta.DSL | Random effects (DerSimonian-Laird) meta-analysis (rmeta) |
meta.MH | Fixed effects (Mantel-Haenszel) meta-analysis (rmeta) |
Methods | Internal and Group Methods and Generic Functions (base) |
methods | Class Methods (base) |
mexp | Matrix Exponentiation (rmutil) |
MGH09 | More, Gabrow and Hillstrom example 9 (NISTnls) |
MGH10 | More, Gabrow and Hillstrom example 10 (NISTnls) |
MGH17 | More, Gabrow and Hillstrom example 17 (NISTnls) |
mhclass | Classifications for hierarchical clustering. (mclust) |
mhtree | Classification Tree for Model-based Gaussian hierarchical clustering. (mclust) |
mhtree.EEE | Classification tree for hierarchical clustering for Gaussian models with constant variance. (mclust) |
mhtree.EFV | Classification tree for hierarchical clustering for Gaussian models with equal volume and fixed shape. (mclust) |
mhtree.EI | Classification tree for hierarchical clustering for Gaussian models with uniform diagonal variance. (mclust) |
mhtree.VFV | Classification tree for hierarchical clustering for Gaussian models with equal volume and constant shape. (mclust) |
mhtree.VI | Classification tree for hierarchical clustering for Gaussian models with diagonal variance. (mclust) |
mhtree.VVV | Classification tree for hierarchical clustering for Gaussian models with unconstrained variance. (mclust) |
mi.inference | Multiple imputation inference (norm) |
michelson | Michelson's Speed of Light Data (MASS) |
min | Maxima and Minima (base) |
mine | Fracture Counts in Coal Mines (locfit) |
minitri | Mini triathlon results Results from a mini triathlon sponsored by Bud Lite, held in Cary, NC, June 1990. Times are in minutes for the male 30-34 group. Components are: swim: (1/2 mile) bike: (15 miles) run: (4 miles) (funfits) |
minn38 | Minnesota High School Graduates of 1938 (MASS) |
minutes | Return Hours, Minutes, or Seconds from a Times Object (chron) |
misclass.tree | Report Numbers of Misclassifications by a Classification Tree (tree) |
Misra1a | Monomolecular Absorption Data (NISTnls) |
Misra1b | Monomolecular Absorption Data (NISTnls) |
Misra1c | Monomolecular Absorption data (NISTnls) |
Misra1d | Monomolecular Absorption data (NISTnls) |
missing | Does a Formal Argument have a Value? (base) |
mixproj | Displays one standard deviation of an MVN mixture classification. (mclust) |
mlbench.2dnormals | 2-dimensional Gaussian Problem (mlbench) |
mlbench.cassini | Cassini: A 2 Dimensional Problem (mlbench) |
mlbench.circle | Circle in a Square Problem (mlbench) |
mlbench.cuboids | Cuboids: A 3 Dimensional Problem (mlbench) |
mlbench.friedman1 | Benchmark Problem Friedman 1 (mlbench) |
mlbench.friedman2 | Benchmark Problem Friedman 2 (mlbench) |
mlbench.friedman3 | Benchmark Problem Friedman 3 (mlbench) |
mlbench.peak | Peak Benchmark Problem (mlbench) |
mlbench.ringnorm | Ringnorm Benchmark Problem (mlbench) |
mlbench.spirals | Two Spirals Benchmark Problem (mlbench) |
mlbench.threenorm | Threenorm Benchmark Problem (mlbench) |
mlbench.twonorm | Twonorm Benchmark Problem (mlbench) |
mlbench.waveform | Waveform Database Generator (written in C) (mlbench) |
mlbench.xor | Continuous XOR Benchmark Problem (mlbench) |
Mod | Complex Vectors (base) |
mode | The (Storage) Mode of an Object (base) |
mode.stable | Stable Generalized Linear Regression Model (stable) |
mode<- | The (Storage) Mode of an Object (base) |
model.extract | Extract Components from a Model Frame (base) |
model.frame | Extracting the ``Environment'' of a Model Formula (base) |
model.frame.aovlist | Extracting the ``Environment'' of a Model Formula (base) |
model.frame.default | Extracting the ``Environment'' of a Model Formula (base) |
model.frame.glm | Extracting the ``Environment'' of a Model Formula (base) |
model.frame.lm | Extracting the ``Environment'' of a Model Formula (base) |
model.frame.rpart | Create a Model Frame for fitting an Rpart Object (rpart) |
model.matrix | Construct Design Matrices (base) |
model.matrix.default | Construct Design Matrices (base) |
model.matrix.glm.null | Construct Design Matrices (base) |
model.matrix.lm | Construct Design Matrices (base) |
model.matrix.lm.null | Construct Design Matrices (base) |
model.matrix.mars | produce a model matrix from a `mars' object (mda) |
model.matrix.reStruct | reStruct Model Matrix (nlme) |
model.offset | Extract Components from a Model Frame (base) |
model.response | Extract Components from a Model Frame (base) |
model.tables | Compute Tables of Results from an Aov Model Fit. (base) |
model.tables.aov | Compute Tables of Results from an Aov Model Fit. (base) |
model.tables.aovlist | Compute Tables of Results from an Aov Model Fit. (base) |
model.weights | Construct Design Matrices (base) |
modreg-internal | Internal modreg functions (modreg) |
moment | Statistical Moment (e1071) |
mona | Monothetic Analysis (cluster) |
mona.object | Monothetic Analysis Object (cluster) |
monic | Monic Polynomials (polynom) |
month.abb | Built-in Constants (base) |
month.day.year | Convert between Julian and Calendar Dates (chron) |
month.name | Built-in Constants (base) |
months | Return Various Periods from a Chron or Dates Object (chron) |
mood.test | Mood Two-Sample Test of Scale (ctest) |
morley | The Michaelson-Morley Speed of Light Data (Rnotes) |
morths | Henderson and Sheppard Mortality Dataset (locfit) |
mosaicplot | Mosaic Plots (base) |
mosaicplot.default | Mosaic Plots (base) |
mosaicplot.formula | Mosaic Plots (base) |
motor | Data from a Simulated Motorcycle Accident (boot) |
motors | Accelerated Life Testing of Motorettes (MASS) |
movave | Apply Moving Average Smoother to a Vector (Fortran Version) (timeslab) |
movbox | Form Quantities Needed for Moving Box Plot (timeslab) |
movord | Apply Moving Order Statistic Operator to a Vector (timeslab) |
mpinv | Moore-Penrose-Inverse (multilm) |
mstep | M-step for parameterized MVN mixture models (mclust) |
mstep.EEE | M-step for constant-variance MVN mixture models (mclust) |
mstep.EEV | M-step for constant shape, constant volume MVN mixture models (mclust) |
mstep.EI | M-step for spherical, constant-volume MVN mixture models (mclust) |
mstep.VEV | M-step for constant shape, constant volume MVN mixture models (mclust) |
mstep.VI | M-step for spherical, varying volume MVN mixture models (mclust) |
mstep.VVV | M-step for unconstrained MVN mixture models (mclust) |
mtcars | Motor Trend Road Tests (base) |
mtext | Write Text into the Margins of a Plot (base) |
multi.menu | Choose multiple options from a menu (coda) |
multiedit | Multiedit for k-NN Classifier (class) |
multilm | Mulivariate Linear Models (multilm) |
multilm.summaries | Stabilized Multivariate Tests (multilm) |
multinom | Fit Multinomial Log-linear Models (nnet) |
Multiplicative Binomial | The Multiplicative Binomial Distribution (rmutil) |
Multiplicative Poisson | The Multiplicative Poisson Distribution (rmutil) |
multpoly | Multiply Two Polynomials (timeslab) |
muscle | Effect of Calcium Chloride on Muscle Contraction in Rat Hearts (MASS) |
mvfft | Fast Discrete Fourier Transform (base) |
Mvnorm | The Multivariate Normal Distribution (e1071) |
mvrnorm | Simulate from a Multivariate Normal Distribution (MASS) |
NA | Not Available / ``Missing'' Values (base) |
na.action | NA Action (base) |
na.action.default | NA Action (base) |
na.contiguous | NA Handling Routines for Time Series (ts) |
na.fail | Handle Missing Values in Objects (base) |
na.fail.default | Handle Missing Values in Objects (base) |
na.omit | Handle Missing Values in Objects (base) |
na.omit.default | Handle Missing Values in Objects (base) |
na.omit.ts | NA Handling Routines for Time Series (ts) |
na.remove | NA Handling Routines for Time Series (tseries) |
na.remove.default | NA Handling Routines for Time Series (tseries) |
na.remove.ts | NA Handling Routines for Time Series (tseries) |
na.rpart | Handles Missing Values in an Rpart Object (rpart) |
na.tree.replace | Replace `NA's in Predictor Variables (tree) |
name | Variable Names (base) |
Names | Names Associated with an Object (nlme) |
names | The Names Attribute of an Object (base) |
names.default | The Names Attribute of an Object (base) |
names.dist | Distance Matrix Computation (mva) |
Names.formula | Extract Names from a formula (nlme) |
Names.pdBlocked | Names of a pdBlocked Object (nlme) |
Names.pdMat | Names of a pdMat Object (nlme) |
Names.reStruct | Names of an reStruct Object (nlme) |
Names<- | Names Associated with an Object (nlme) |
names<- | The Names Attribute of an Object (base) |
names<-.default | The Names Attribute of an Object (base) |
names<-.dist | Distance Matrix Computation (mva) |
Names<-.pdMat | Names of a pdMat Object (nlme) |
Names<-.reStruct | Names of an reStruct Object (nlme) |
NaN | Finite, Infinite and NaN Numbers (base) |
nargs | The Number of Arguments to a Function (base) |
nbkal | Negative Binomial Model with Kalman Update (repeated) |
nchar | Count the Number of Characters (base) |
NCOL | The Number of Rows/Columns of an Array (base) |
ncol | The Number of Rows/Columns of an Array (base) |
needUpdate | Check if Update is Needed (nlme) |
needUpdate.default | Check if Update is Needed (nlme) |
needUpdate.modelStruct | Check if a modelStruct Object Needs Updating (nlme) |
needUpdate.varComb | Check if Update is Needed (nlme) |
needUpdate.varIdent | Check if Update is Needed (nlme) |
negative.binomial | Family function for Negative Binomial GLMs (MASS) |
NegBinomial | The Negative Binomial Distribution (base) |
neighbours | List of neighbours from a triangulation object (tripack) |
NelPlo | Nelson-Plosser Macroeconomic Time Series (tseries) |
Nelson | Dialectric breakdown data (NISTnls) |
neuralgas | Convex Clustering (cclust) |
neuro | Neurophysiological Point Process Data (boot) |
new.env | Environment Access (base) |
newcomb | Newcomb's Measurements of the Passage Time of Light (MASS) |
next | Control Flow (base) |
NextMethod | Class Methods (base) |
nextn | Highly Composite Numbers (base) |
nhtemp | Average Yearly Temperatures in New Haven (base) |
ninvwish | Random normal-inverted Wishart variate (norm) |
nise | integrated squared error between a density estimate and a Normal density (sm) |
nitrofen | Toxicity of Nitrofen in Aquatic Systems (boot) |
nkden | Normal kernel density estimate (funfits) |
nkden.cv | Cross- validation function for a normal kernel density estimate (funfits) |
nkreg | Normal kernel regression estimate (funfits) |
nlar | Nonlinear autoregressive model (funfits) |
nlevels | The Number of Levels of a Factor (base) |
nlm | Non-Linear Minimization (base) |
nlme | Nonlinear Mixed-Effects Models (nlme) |
nlme.formula | Nonlinear Mixed-Effects Models (nlme) |
nlme.nlsList | NLME fit from nlsList Object (nlme) |
nlmeControl | Control Values for nlme Fit (nlme) |
nlmeObject | Fitted nlme Object (nlme) |
nlmeStruct | Nonlinear Mixed-Effects Structure (nlme) |
nlr | Nonlinear Regression (gnlm) |
nls | Nonlinear Least Squares (nls) |
nls.control | Control the Iterations in nls (nls) |
nlsList | List of nls Objects with a Common Model (nlme) |
nlsList.formula | List of nls Objects with a Common Model (nlme) |
nlsList.selfStart | nlsList Fit from a selfStart Function (nlme) |
nlsModel | Create an nlsModel Object (nls) |
nlsModel.plinear | Create an nlsModel Object (nls) |
NLSstAsymptotic | Fit the Asymptotic Regression Model (nls) |
NLSstAsymptotic.sortedXyData | Fit the Asymptotic Regression Model (nls) |
NLSstClosestX | Inverse Interpolation (nls) |
NLSstClosestX.sortedXyData | Inverse Interpolation (nls) |
NLSstLfAsymptote | Horizontal Asymptote on the Left Side (nls) |
NLSstLfAsymptote.sortedXyData | Horizontal Asymptote on the Left Side (nls) |
NLSstRtAsymptote | Horizontal Asymptote on the Right Side (nls) |
NLSstRtAsymptote.sortedXyData | Horizontal Asymptote on the Right Side (nls) |
nmise | mean integrated squared error for density estimation with normal data (sm) |
nn.pattern | Create an NN Pattern (snns) |
nnbr | nearest neighbour distances from data in one or two dimensions (sm) |
nnet | Fit Neural Networks (nnet) |
nnet.default | Fit Neural Networks (nnet) |
nnet.formula | Fit Neural Networks (nnet) |
nnet.Hess | Evaluates Hessian for a Neural Network (nnet) |
nnreg | Fits a surface based on a neural network (funfits) |
nnregCI | Finds a confidence set of parameters for a neural net fit. (funfits) |
nodal | Nodal Involvement in Prostate Cancer (boot) |
noquote | Class for ``no quote'' Printing of Strings (base) |
nordr | Nonlinear Ordinal Regression (gnlm) |
norm.ci | Normal Approximation Confidence Intervals (boot) |
Normal | The Normal Distribution (base) |
normalize | Normalize a vector (snns) |
nottem | Average Monthly Temperatures at Nottingham, 1920-1939 (MASS) |
NotYet | Not Yet Implemented Functions and Unused Arguments (base) |
NotYetImplemented | Not Yet Implemented Functions and Unused Arguments (base) |
NotYetUsed | Not Yet Implemented Functions and Unused Arguments (base) |
npk | Classical N, P, K Factorial Experiment (MASS) |
npr1 | US Naval Petroleum Reserve No. 1 data (MASS) |
NROW | The Number of Rows/Columns of an Array (base) |
nrow | The Number of Rows/Columns of an Array (base) |
ns | Generate a Basis Matrix for Natural Cubic Splines (splines) |
nuclear | Nuclear Power Station Construction Data (boot) |
NULL | The Null Object (base) |
Null | Null Spaces of Matrices (MASS) |
numeric | Numeric Vectors (base) |
NW.kernel | Nadaraya-Watson non-parametric regression (haerdle) |
NW.Warping | Nadaraya-Watson non-parametric regression via WARPing (haerdle) |
oats | Data from an Oats Field Trial (MASS) |
objects | List Objects (base) |
odot | Form Outer Product of Two Vectors (timeslab) |
offset | Include an Offset in a Model Formula (base) |
oil | The Gasoline Yield Data (Rnotes) |
olvq1 | Optimized Learning Vector Quantization 1 (class) |
OME | Tests of Auditory Perception in Children with OME (MASS) |
on.convex.hull | Determines if points are on the convex hull of a triangulation object (tripack) |
on.exit | Function Exit Code (base) |
one.in.n | one-in-n classification encoding (snns) |
Ops.data.frame | Internal and Group Methods and Generic Functions (base) |
Ops.factor | Internal and Group Methods and Generic Functions (base) |
Ops.ordered | Internal and Group Methods and Generic Functions (base) |
Ops.polynomial | Arithmetic Ops Group Methods for Polynomials (polynom) |
Ops.ts | Internal ts functions (ts) |
optim.funfits | Finds optimum within a region (funfits) |
optimise | One Dimensional Optimization (base) |
optimize | One Dimensional Optimization (base) |
options | Options Settings (base) |
OrchardSprays | Potency of Orchard Sprays (base) |
order | Ordering Permutation (base) |
ordered | Factors (base) |
orlm | Fit Robust Linear Regression Model (MASS) |
ortho.series0.1 | Orthogonal series estimator on [0,1] (haerdle) |
outer | Outer Product of Arrays (base) |
outer.convhull | Version of outer which operates only in a convex hull (tripack) |
ovarian | Ovarian cancer survival data (survival5) |
oz | Plot the Australian coastline and states (oz) |
Ozone | Los Angeles ozone pollution data, 1976 (mlbench) |
ozone | Data set of ozone measurements at 20 Chicago monitoring stations. (funfits) |
pacf | Calculate Sample Partial Autocorrelation Function (timeslab) |
pacf.default | Autocovariance and Autocorrelation Function Estimation (ts) |
pacf.mts | Autocovariance and Autocorrelation Function Estimation (ts) |
pacf.ts | Autocovariance and Autocorrelation Function Estimation (ts) |
pack8bit | Packing of 8-bit Integers (wavethresh) |
package.contents | Package Contents and Description (base) |
package.description | Package Contents and Description (base) |
page | Invoke a Pager on an R Object (base) |
painters | The Painter's Data of de Piles (Rnotes) |
pair | Pair Object (sgeostat) |
pairlist | Lists -- Generic and Dotted Pairs (base) |
pairs | Scatterplot Matrices (base) |
pairs.compareFits | Pairs Plot of compareFits Object (nlme) |
pairs.default | Scatterplot Matrices (base) |
pairs.formula | Formula Notation for Scatterplot Matrices (base) |
pairs.lda | Produce Pairwise Scatterplots from an `lda' Fit (MASS) |
pairs.lme | Pairs Plot of an lme Object (nlme) |
pairs.lmList | Pairs Plot of an lmList Object (nlme) |
palette | Set or View the Graphics Palette (base) |
Palettes | Color Palettes (base) |
pam | Partitioning Around Medoids (cluster) |
pam.object | Partitioning Around Medoids Object (cluster) |
panel.smooth | Simple Panel Plot (base) |
par | Set or Query Graphical Parameters (base) |
Paren | Parentheses and Braces (base) |
parent.frame | Functions to Access the Function Call Stack (base) |
Pareto | The Pareto Distribution (rmutil) |
parse | Parse Expressions (base) |
parse.dcf | Parse Debian Control File Format (base) |
partar | Calculate AR Coefficients from Autocorrelations (timeslab) |
partition | Partitioning by Iterative Optimization (multiv) |
partition.object | Partitioning Object (cluster) |
partition.tree | Plot the Partitions of a simple Tree Model (tree) |
partuniq | Classifies Data According to Unique Observations (mclust) |
paste | Concatenate Strings (base) |
Patacamaya | Patacamaya: Greenhouse experiment at Patacamaya (quantreg) |
path | Finds path of steepest ascent (funfits) |
path.rpart | Follow Paths to Selected Nodes of an Rpart Object (rpart) |
paulsen | Neurotransmission in Guinea Pig Brains. (boot) |
pause | Pause before continuing execution (sm) |
pbc | Mayo Clinic Primary Biliary Cirrhosis Data (survival5) |
pbeta | The Beta Distribution (base) |
pbetabinom | The Beta Binomial Distribution (rmutil) |
pbinom | The Binomial Distribution (base) |
pbirth | Fit Overdispersed Count Data as a Birth Process (event) |
pboxcox | The Box-Cox Distribution (rmutil) |
pburr | The Burr Distribution (rmutil) |
pca | Principal Components Analysis (multiv) |
pcauchy | The Cauchy Distribution (base) |
pchisq | The (non-central) Chi-Square Distribution (base) |
pdBlocked | Positive-Definite Block Diagonal Matrix (nlme) |
pdClasses | Positive-Definite Matrix Classes (nlme) |
pdCompSymm | Positive-Definite Matrix with Compound Symmetry Structure (nlme) |
pdConstruct | Construct pdMat Objects (nlme) |
pdConstruct.pdBlocked | Construct pdBlocked Objects (nlme) |
pdConstruct.pdCompSymm | Construct pdMat Objects (nlme) |
pdConstruct.pdDiag | Construct pdMat Objects (nlme) |
pdConstruct.pdIdent | Construct pdMat Objects (nlme) |
pdConstruct.pdMat | Construct pdMat Objects (nlme) |
pdConstruct.pdNatural | Construct pdMat Objects (nlme) |
pdConstruct.pdSymm | Construct pdMat Objects (nlme) |
pdDiag | Diagonal Positive-Definite Matrix (nlme) |
pdFactor | Square-Root Factor of a Positive-Definite Matrix (nlme) |
pdFactor.pdBlocked | Square-Root Factor of a Positive-Definite Matrix (nlme) |
pdFactor.pdCompSymm | Square-Root Factor of a Positive-Definite Matrix (nlme) |
pdFactor.pdDiag | Square-Root Factor of a Positive-Definite Matrix (nlme) |
pdFactor.pdIdent | Square-Root Factor of a Positive-Definite Matrix (nlme) |
pdFactor.pdMat | Square-Root Factor of a Positive-Definite Matrix (nlme) |
pdFactor.pdNatural | Square-Root Factor of a Positive-Definite Matrix (nlme) |
pdFactor.reStruct | Extract Square-Root Factor from Components of an reStruct Object (nlme) |
pdIdent | Multiple of the Identity Positive-Definite Matrix (nlme) |
pdiscrete | Discrete Distribution (e1071) |
pdMat | Positive-Definite Matrix (nlme) |
pdMatrix | Extract Matrix or Square-Root Factor from a pdMat Object (nlme) |
pdMatrix.pdBlocked | Extract Matrix or Square-Root Factor from a pdMat Object (nlme) |
pdMatrix.pdCompSymm | Extract Matrix or Square-Root Factor from a pdMat Object (nlme) |
pdMatrix.pdDiag | Extract Matrix or Square-Root Factor from a pdMat Object (nlme) |
pdMatrix.pdIdent | Extract Matrix or Square-Root Factor from a pdMat Object (nlme) |
pdMatrix.pdMat | Extract Matrix or Square-Root Factor from a pdMat Object (nlme) |
pdMatrix.pdSymm | Extract Matrix or Square-Root Factor from a pdMat Object (nlme) |
pdMatrix.reStruct | Extract Matrix or Square-Root Factor from Components of an reStruct Object (nlme) |
pdNatural | General Positive-Definite Matrix in Natural Parametrization (nlme) |
pdoublebinom | The Double Binomial Distribution (rmutil) |
pdoublepois | The Double Poisson Distribution (rmutil) |
pdSymm | General Positive-Definite Matrix (nlme) |
pentagamma | Special Functions of Mathematics (base) |
perdgm | Calculate Periodogram of a Time Series (timeslab) |
pergram | Calculate and plot a periodogram (growth) |
periodicSpline | Create a Periodic Interpolation Spline (splines) |
periodicSpline.default | Create a Periodic Interpolation Spline (splines) |
periodicSpline.formula | Create a Periodic Interpolation Spline (splines) |
persp | Perspective Plots (base) |
persp.init, | Sets up axes for perspective plotting using other functions from persp family. (funfits) |
petrol | N. L. Prater's Petrol Refinery Data (MASS) |
pexp | The Exponential Distribution (base) |
pf | The F Distribution (base) |
pgamma | The Gamma Distribution (base) |
pgammacount | The Gamma Count Distribution (rmutil) |
pgeom | The Geometric Distribution (base) |
pgextval | The Generalized Extreme Value Distribution (rmutil) |
pggamma | The Generalized Gamma Distribution (rmutil) |
pginvgauss | The Generalized Inverse Gaussian Distribution (rmutil) |
pglogis | The Generalized Logistic Distribution (rmutil) |
pgweibull | The Generalized Weibull Distribution (rmutil) |
phjorth | The Hjorth Distribution (rmutil) |
phones | Belgium Phone Calls 1950-1973 (boot) |
phyper | The Hypergeometric Distribution (base) |
pi | Built-in Constants (base) |
pico | Invoke a Text Editor (base) |
pictex | A PicTeX Graphics Driver (base) |
piechart | Pie Charts (base) |
Pima.te | Diabetes in Pima Indian Women (MASS) |
Pima.tr | Diabetes in Pima Indian Women (MASS) |
Pima.tr2 | Diabetes in Pima Indian Women (MASS) |
PimaIndiansDiabetes | Pima Indians Diabetes Database (mlbench) |
pinvgauss | The Inverse Gaussian Distribution (rmutil) |
pkpd | Pharmacokinetic models (rmutil) |
PlantGrowth | Results from an Experiment on Plant Growth (base) |
plaplace | The Laplace Distribution (rmutil) |
Platform | Platform Specific Variables (base) |
plevy | The Levy Distribution (rmutil) |
plnorm | The Log Normal Distribution (base) |
plogis | The Logistic Distribution (base) |
plogspiine | Logspline Density Estimation (logspline) |
plot | Generic X-Y Plotting (base) |
plot.ACF | Plot an ACF Object (nlme) |
plot.acf | Autocovariance function Estimation (bats) |
plot.agnes | Plots of an Agglomerative Hierarchical Clustering (cluster) |
plot.amif | Auto Mutual Information Function (tseries) |
plot.augPred | Plot an augPred Object (nlme) |
plot.boot | Plots of the Output of a Bootstrap Simulation (boot) |
plot.cclust | Plot Clustered Data (cclust) |
plot.compareFits | Plot a compareFits Object (nlme) |
plot.cox.zph | Graphical Test of Proportional Hazards (survival5) |
plot.cum.pergram | Calculate and plot a periodogram (growth) |
plot.data.frame | Data Frames (base) |
plot.default | The Default Scatterplot Function (base) |
plot.density | Kernel Density Estimation (base) |
plot.diana | Plots of a Divisive Hierarchical Clustering (cluster) |
plot.dist | Kaplan-Meier Survival Curves (event) |
plot.ecdf | Empirical Cumulative Distribution Function (stepfun) |
plot.factor | Plotting Factor Variables (base) |
plot.formula | Formula Notation for Scatterplots (base) |
plot.function | Draw Function Plots (base) |
plot.garch | Fit GARCH Models to Time Series (tseries) |
plot.gls | Plot a gls Object (nlme) |
plot.hazard | Kaplan-Meier Survival Curves (event) |
plot.hclust | Hierarchical Clustering (mva) |
plot.imwd | Plot Method for an `imwd' object (wavethresh) |
plot.imwdc | Plot Method for an `imwdc' object (wavethresh) |
plot.intervals.lmList | Plot lmList Confidence Intervals (nlme) |
plot.krig | Diagnoistic and summary plots of the kriging object (funfits) |
plot.lda | Plot Method for Class `lda' (MASS) |
plot.lle | Plots local Lyapunov exponents (funfits) |
plot.lm | Plot Diagnostics for an "lm" Object (base) |
plot.lme | Plot an lme Object (nlme) |
plot.lmList | Plot an lmList Object (nlme) |
plot.locfit | Plot an object of class locfit. (locfit) |
plot.locfitpred | Plot a "locfitpred" object. (locfit) |
plot.mca | Plot Method for Objects of Class `mca' (MASS) |
plot.mcmc | Summary plots of mcmc objects (coda) |
plot.medpolish | Median Polish of a Matrix (eda) |
plot.meta.DSL | Random effects (DerSimonian-Laird) meta-analysis (rmeta) |
plot.meta.MH | Fixed effects (Mantel-Haenszel) meta-analysis (rmeta) |
plot.mlbench | Plot mlbench objects (mlbench) |
plot.mlm | Accessing Linear Model Fits (base) |
plot.mona | Banner of Monothetic Divisive Hierarchical Clusterings (cluster) |
plot.mts | Time-Series Objects (base) |
plot.new | Create / Start a New Plot Frame (base) |
plot.nffGroupedData | Plot an nffGroupedData Object (nlme) |
plot.nfnGroupedData | Plot an nfnGroupedData Object (nlme) |
plot.nmGroupedData | Plot an nmGroupedData Object (nlme) |
plot.nnreg | Diagnoistic and summary plots of a neural net regression object (funfits) |
plot.partition | Plot of a Partition of the Data Set (cluster) |
plot.pergram | Calculate and plot a periodogram (growth) |
plot.pnm | Portable Anymap Images (e1071) |
plot.point | Plot Point Objects (sgeostat) |
plot.polymars | plot.polymars - plots for polymars models (polymars) |
plot.polynomial | Plot Method for Polynomials (polynom) |
plot.polySpline | Piecewise Polynomial Spline Representation (splines) |
plot.ppr | Plot Ridge Functions for Projection Pursuit Regression Fit (modreg) |
plot.prcomp | Principal Components Analysis (mva) |
plot.princomp | Principal Components Analysis (mva) |
plot.profile.nls | Plot a profile.nls Object (nls) |
plot.ranef.lme | Plot a ranef.lme Object (nlme) |
plot.ranef.lmList | Plot a ranef.lmList Object (nlme) |
plot.repeated | Create a repeated object, removing NAs (rmutil) |
plot.residuals | Plot Residuals (rmutil) |
plot.rpart | Plot an Rpart Object (rpart) |
plot.simulate.lme | simulate lme models (nlme) |
plot.spec | Spectral Density Estimation (bats) |
plot.spec.coherency | Spectral Density Estimation (ts) |
plot.spec.phase | Spectral Density Estimation (ts) |
plot.spline | Evaluate a spline at new values of x (splines) |
plot.sreg | Plots smoothing spline regression object (funfits) |
plot.stepfun | Plot Step Functions (stepfun) |
plot.stft | Plots an Object of Type stft. (e1071) |
plot.stl | Seasonal Decomposition of Time Series by Loess (ts) |
plot.subsets | Graphical table of best subsets (leaps) |
plot.surface | Plots a surface (funfits) |
plot.survfit | Plot Method for `survfit' (survival5) |
plot.tps | Diagnoistic and summary plots for a thin plate spline regression object (funfits) |
plot.tree.sequence | Plot a Tree Sequence (tree) |
plot.tri | Plot a triangulation object (tripack) |
plot.ts | Time-Series Objects (base) |
plot.tskernel | Smoothing Kernel Objects (ts) |
plot.Variogram | Plot a Variogram Object (nlme) |
plot.variogram | Plot Variogram (sgeostat) |
plot.voronoi | Plot a voronoi object (tripack) |
plot.wd | Plot Method for a `wd' object (wavethresh) |
plot.window | Creates a motif graphics window. (funfits) |
plot.xy | Basic Internal Plot Function (base) |
plot.xyVector | Construct an xyVector Object (splines) |
plotbyfactor | x-y scatterplot, colored by levels of a factor. (locfit) |
plotcp | Plot a Complexity Parameter Table for an Rpart Fit (rpart) |
plotmath | Mathematical Annotation in R (base) |
plotsp | Form Plot of a (True or Sample) Spectral Density (timeslab) |
pls1a | Univariate Partial Least Squares Regression (pls) |
pls1b | Univariate Partial Least Squares Regression (pls) |
pls1c | Univariate Partial Least Squares Regression (pls) |
pltree | Clustering Trees - Generic Function (cluster) |
pltree.twins | Clustering Tree of an Agglomerative or a Divisive Hierarchical Clustering (cluster) |
pmatch | Partial String Matching (base) |
pmax | Maxima and Minima (base) |
pmin | Maxima and Minima (base) |
pmultbinom | The Multiplicative Binomial Distribution (rmutil) |
pmultpois | The Multiplicative Poisson Distribution (rmutil) |
pnbinom | The Negative Binomial Distribution (base) |
pnchisq | Defunct Functions (base) |
pnm | Portable Anymap Images (e1071) |
pnorm | The Normal Distribution (base) |
point | Point Object (sgeostat) |
points | Add Points to a Plot (base) |
points.default | Add Points to a Plot (base) |
points.polynomial | Points Method for Polynomials (polynom) |
pointwise | Internal modreg functions (modreg) |
poisons | Animal Survival Times (boot) |
Poisson | The Poisson Distribution (base) |
poisson | Family Objects for Models (base) |
polar | Pole Positions of New Caledonian Laterites (boot) |
poly | Compute Orthogonal Polynomials (base) |
poly.calc | Calculate Polynomials from Zeros or Values (polynom) |
poly.from.roots | Calculate Polynomials from Zeros or Values (polynom) |
poly.from.values | Calculate Polynomials from Zeros or Values (polynom) |
poly.from.zeros | Calculate Polynomials from Zeros or Values (polynom) |
poly.orth | Construct Orthogonal Polynomials (polynom) |
polygon | Polygon Drawing (base) |
polymars | Multi-response Multivariate Adaptive Regression Splines (polymars) |
polynomial | Polynomials (polynom) |
polyreg | simple minded polynomial regression (mda) |
polyroot | Find Zeros of a Real or Complex Polynomial (base) |
polyrt | Find the Roots of a Polynomial Given its Coefficients (timeslab) |
polySpline | Piecewise Polynomial Spline Representation (splines) |
polySpline.bSpline | Piecewise Polynomial Spline Representation (splines) |
polySpline.nbSpline | Piecewise Polynomial Spline Representation (splines) |
polySpline.pbSpline | Piecewise Polynomial Spline Representation (splines) |
polySpline.polySpline | Piecewise Polynomial Spline Representation (splines) |
pooledSD | Extract Pooled Standard Deviation (nlme) |
portfolio.optim | Portfolio Optimization (tseries) |
portfolio.optim.default | Portfolio Optimization (tseries) |
portfolio.optim.ts | Portfolio Optimization (tseries) |
post.rpart | PostScript Presentation Plot of an Rpart Object (rpart) |
postscript | PostScript Graphics (base) |
pottery | Archaelogical Pottery Data (Rnotes) |
potthoff | Potthoff and Roy growth curve model (growth) |
power | Create a Power Link Object (base) |
power exponential | The power exponential Distribution (rmutil) |
pp | Create a Point Process Vector from Times between Events (event) |
PP.test | Phillips--Perron Unit Root Test (ts) |
ppareto | The Pareto Distribution (rmutil) |
ppgetregion | Get Domain for Spatial Point Pattern Analyses (spatial) |
ppinit | Read a Point Process Object from a File (spatial) |
pplik | Pseudo-likelihood Estimation of a Strauss Spatial Point Process (spatial) |
ppoints | Ordinates for Probability Plotting (base) |
ppois | The Poisson Distribution (base) |
ppowexp | The power exponential Distribution (rmutil) |
ppr | Projection Pursuit Regression (modreg) |
ppr.default | Projection Pursuit Regression (modreg) |
ppr.formula | Projection Pursuit Regression (modreg) |
ppregion | Set Domain for Spatial Point Pattern Analyses (spatial) |
prcomp | Principal Components Analysis (mva) |
precip | Annual Precipitation in US Cities (base) |
predict | Model Predictions (base) |
predict.ar | Fit Autoregressive Models to Time Series (ts) |
predict.arima0 | ARIMA Modelling of Time Series -- Preliminary Version (ts) |
predict.bruto | a method for making predictions from a `bruto' object. (mda) |
predict.bs | Evaluate a Predefined Spline Basis at New Values (splines) |
predict.bSpline | Evaluate a spline at new values of x (splines) |
predict.cclust | Assign clusters to new data (cclust) |
predict.fda | make predictions from an fda object (mda) |
predict.garch | Fit GARCH Models to Time Series (tseries) |
predict.glm | Predict Method for GLM Fits (base) |
predict.gls | Predictions from a gls Object (nlme) |
predict.gnls | Predictions from a gnls Object (nlme) |
predict.krig | Evaluation of kriging surface (funfits) |
predict.lda | Classify Multivariate Observations by Linear Discrimination (MASS) |
predict.lm | Predicting from Linear Model Fits (base) |
predict.lme | Predictions from an lme Object (nlme) |
predict.lmList | Predictions from an lmList Object (nlme) |
predict.locfit | Prediction from a Locfit object. (locfit) |
predict.loess | Predict Loess Curve or Surface (modreg) |
predict.lqs | Predict from an lqs Fit (lqs) |
predict.mars | make predictions from a `mars' object (mda) |
predict.mca | Predict Method for Class `mca' (MASS) |
predict.mda | make predictions from an mda object (mda) |
predict.mlm | Predicting from Linear Model Fits (base) |
predict.nbSpline | Evaluate a spline at new values of x (splines) |
predict.netfit | Evaluation of a neural net fit based on a model component (funfits) |
predict.nlme | Predictions from an nlme Object (nlme) |
predict.nls | Predicting from Nonlinear Least Squares Fits (nls) |
predict.nnet | Predict New Examples by a Trained Neural Net (nnet) |
predict.nnreg | Evaluation of neural net surface. (funfits) |
predict.npolySpline | Evaluate a spline at new values of x (splines) |
predict.ns | Evaluate a Predefined Spline Basis at New Values (splines) |
predict.pbSpline | Evaluate a spline at new values of x (splines) |
predict.polymars | predict.polymars - fitted values from a `polymars' model (polymars) |
predict.polynomial | Evaluate a Polynomial (polynom) |
predict.polySpline | Piecewise Polynomial Spline Representation (splines) |
predict.ppolySpline | Evaluate a spline at new values of x (splines) |
predict.ppr | Projection Pursuit Regression (modreg) |
predict.princomp | Principal Components Analysis (mva) |
predict.qda | Classify from Quadratic Discriminant Analysis (MASS) |
predict.rpart | Predictions from a Fitted Rpart Object (rpart) |
predict.se | Standard errors of predictions (funfits) |
predict.se.krig | Standard errors of predictions for kriging estimate (funfits) |
predict.se.tps | Standard errors of predictions for thin plate spline regression (funfits) |
predict.smooth.Pspline | Smoothing Spline of Arbitrary Order at New Data (pspline) |
predict.smooth.spline | Predict from Smoothing Spline Fit (modreg) |
predict.smooth.spline.fit | Fit a Smoothing Spline (modreg) |
predict.ssanova | Predicting from Smoothing Spline ANOVA Fits (gss) |
predict.surface | Evaluates a function on a surface (funfits) |
predict.surface.se | Standard error predictions of surface (funfits) |
predict.survreg | Predicted Values for a `survreg' Object (survival5) |
predict.tps | Evaluation of thin plate spline surface. (funfits) |
predict.tree | Predictions from a Fitted Tree Object (tree) |
predLoess | Internal modreg functions (modreg) |
prelim.norm | Preliminary manipulations for a matrix of incomplete continuous data. (norm) |
preplot | Pre-computations for a Plotting Objeect (base) |
preplot.locfit | Prediction from a Locfit object. (locfit) |
presidents | Approval Rating of US Presidents (base) |
pressure | Vapor Pressure of Mercury as a Function of Temperature (base) |
pretty | Pretty Breakpoints (base) |
Primitive | Call a ``Primitive'' Internal Function (base) |
principal.curve | Fit a Principal Curve (princurve) |
princomp | Principal Components Analysis (mva) |
Print Values (base) | |
print.agnes | Use `print()' on an `agnes' object (cluster) |
print.anova | Anova Tables (base) |
print.anova.glm | Defunct Functions (base) |
print.anova.lm | Defunct Functions (base) |
print.anova.lme | Print an anova.lme Object (nlme) |
print.aov | Fit an Analysis of Variance Model (base) |
print.aovlist | Fit an Analysis of Variance Model (base) |
print.ar | Fit Autoregressive Models to Time Series (ts) |
print.arima0 | ARIMA Modelling of Time Series -- Preliminary Version (ts) |
print.atomic | Default Printing (base) |
print.bdstest | BDS Test (tseries) |
print.boot | Print a Summary of a Bootstrap Object (boot) |
print.bootci | Print Bootstrap Confidence Intervals (boot) |
print.bSpline | Create an Interpolation Spline (splines) |
print.cclust | Convex Clustering (cclust) |
print.clara | Use `print()' on a `clara' object (cluster) |
print.coefmat | Print Coefficient Matrices (base) |
print.corHF | Print a corStruct Object (nlme) |
print.corStruct | Print a corStruct Object (nlme) |
print.corSymm | Print a corStruct Object (nlme) |
print.data.frame | Data Frames (base) |
print.default | Default Printing (base) |
print.density | Kernel Density Estimation (base) |
print.diana | Use `print()' on a `diana' object (cluster) |
print.dissimilarity | Use `print()' on a `dissimilarity' object (cluster) |
print.dist | Distance Matrix Computation (mva) |
print.dummy.coef | Extract Coefficients in Original Coding (base) |
print.dummy.coef.list | Extract Coefficients in Original Coding (base) |
print.ecdf | Empirical Cumulative Distribution Function (stepfun) |
print.factor | Print Values (base) |
print.family | Family Objects for Models (base) |
print.fanny | Use `print()' on a `fanny' object (cluster) |
print.formula | Model Formulae (base) |
print.gar | Generalized autoregression (repeated) |
print.garch | Fit GARCH Models to Time Series (tseries) |
print.glm | Accessing Generalized Linear Model Fits (base) |
print.glm.null | Accessing Generalized Linear Model Fits (base) |
print.gls | Print a gls Object (nlme) |
print.groupedData | Print a groupedData Object (nlme) |
print.htest | Print Values (base) |
print.imwd | Print an `imwd' object (wavethresh) |
print.imwdc | Print an `imwdc' Object (wavethresh) |
print.infl | Regression Diagnostics (base) |
print.integrate | Adaptive Integration in 1--20 Dimensions. (integrate) |
print.intervals.gls | Print an intervals.gls Object (nlme) |
print.intervals.lme | Print an intervals.lme Object (nlme) |
print.krig | Print kriging fit results. (funfits) |
print.listof | Print Values (base) |
print.lm | Accessing Linear Model Fits (base) |
print.lm.null | Accessing Linear Model Fits (base) |
print.lme | Print an lme Object (nlme) |
print.lmList | Print an lmList Object (nlme) |
print.loess | Local Polynomial Regression Fitting (modreg) |
print.lqs | Resistant Regression (lqs) |
print.matrix | Print Matrices (base) |
print.medpolish | Median Polish of a Matrix (eda) |
print.modelStruct | Print a modelStruct Object (nlme) |
print.mona | Use `print()' on a `mona' object (cluster) |
print.mtable | Find Aliases (Dependencies) in a Model (base) |
print.nbkal | Negative Binomial Model with Kalman Update (repeated) |
print.nls | Nonlinear Least Squares (nls) |
print.nnreg | Print nnreg fit results (funfits) |
print.noquote | Class for ``no quote'' Printing of Strings (base) |
print.ordered | Print Values (base) |
print.pair | Pairs Object Description (sgeostat) |
print.pam | Use `print()' on a `pam' object (cluster) |
print.pdMat | Print a pdMat Object (nlme) |
print.plot | Defunct Functions (base) |
print.point | Point Object Description (sgeostat) |
print.polymars | print.polymars - summarizes a polymars model (polymars) |
print.polySpline | Piecewise Polynomial Spline Representation (splines) |
print.potthoff | Potthoff and Roy growth curve model (growth) |
print.ppolySpline | Create an Interpolation Spline (splines) |
print.ppr | Projection Pursuit Regression (modreg) |
print.prcomp | Principal Components Analysis (mva) |
print.princomp | Principal Components Analysis (mva) |
print.repeated | Create a repeated object, removing NAs (rmutil) |
print.reStruct | Print an reStruct Object (nlme) |
print.rpart | Print an Rpart Object (rpart) |
print.saddle.distn | Print Quantiles of Saddlepoint Approximations (boot) |
print.simple.list | Print Values (base) |
print.simplex | Print Solution to Linear Programming Problem (boot) |
print.smooth.spline | Fit a Smoothing Spline (modreg) |
print.socket | Create a Socket Connection (base) |
print.stepfun | Step Functions (stepfun) |
print.stl | Seasonal Decomposition of Time Series by Loess (ts) |
print.summary.agnes | Use `print()' on a `summary.agnes' object (cluster) |
print.summary.aov | Fit an Analysis of Variance Model (base) |
print.summary.aovlist | Fit an Analysis of Variance Model (base) |
print.summary.clara | Use `print()' on a `summary.clara' object (cluster) |
print.summary.corStruct | Print a summary.corStruct Object (nlme) |
print.summary.diana | Use `print()' on a `summary.diana' object (cluster) |
print.summary.fanny | Use `print()' on a `summary.fanny' object (cluster) |
print.summary.garch | Fit GARCH Models to Time Series (tseries) |
print.summary.glm | Accessing Generalized Linear Model Fits (base) |
print.summary.glm.null | Accessing Generalized Linear Model Fits (base) |
print.summary.gls | Print a summary.gls Object (nlme) |
print.summary.lm | Accessing Linear Model Fits (base) |
print.summary.lm.null | Accessing Linear Model Fits (base) |
print.summary.lme | Print a summary.lme Object (nlme) |
print.summary.lmList | Print a summary.lmList Object (nlme) |
print.summary.loess | Local Polynomial Regression Fitting (modreg) |
print.summary.modelStruct | Print a summary.modelStruct Object (nlme) |
print.summary.mona | Use `print()' on a `summary.mona' object (cluster) |
print.summary.nls | Nonlinear Least Squares (nls) |
print.summary.pam | Use `print()' on a `summary.pam' object (cluster) |
print.summary.pdMat | Print a summary.pdMat Object (nlme) |
print.summary.polynomial | Summary of a Polynomial (polynom) |
print.summary.ppr | Projection Pursuit Regression (modreg) |
print.summary.prcomp | Principal Components Analysis (mva) |
print.summary.tri | Print a summary of a triangulation object (tripack) |
print.summary.varComb | Print a summary.varFunc Object (nlme) |
print.summary.varFixed | Print a summary.varFunc Object (nlme) |
print.summary.varFunc | Print a summary.varFunc Object (nlme) |
print.summary.voronoi | Print a summary of a voronoi object (tripack) |
print.survfit | Print a Short Summary of a Survival Curve (survival5) |
print.table | Print Values (base) |
print.tables.aov | Compute Tables of Results from an Aov Model Fit. (base) |
print.tabular | Defunct Functions (base) |
print.tccov | Create or add to a time-constant covariate (tccov) object (rmutil) |
print.terms | Model Terms (base) |
print.tps | Print thin plate spline fit results (funfits) |
print.tri | Print a triangulation object (tripack) |
print.ts | Time-Series Objects (base) |
print.tskernel | Smoothing Kernel Objects (ts) |
print.tukeyline | Robust Line Fitting (eda) |
print.tvccov | Create or add to a time-varying covariate (tvcov) object (rmutil) |
print.varComb | Print a varFunc Object (nlme) |
print.varFunc | Print a varFunc Object (nlme) |
print.voronoi | Print a voronoi object (tripack) |
print.wd | Print Method for a `wd' object. (wavethresh) |
print.xyVector | Construct an xyVector Object (splines) |
printcp | Displays CP table for Fitted Rpart Object (rpart) |
prmat | Evaluate Kriging Surface over a Grid (spatial) |
prmatrix | Print Matrices (base) |
proc.time | Running Time of R (base) |
prod | Product of Vector Elements (base) |
profile | Produce Marginal Time Profiles for Plotting (rmutil) |
profile.nls | Method for Profiling nls Objects (nls) |
profiler | Constructor for Profiler Objects for Non-Linear Models (nls) |
profiler.nls | Constructor for Profiler Objects from nls Objects (nls) |
proj | Projections of Models (base) |
proj.aov | Projections of Models (base) |
proj.aovlist | Projections of Models (base) |
proj.default | Projections of Models (base) |
proj.lm | Projections of Models (base) |
prompt | Produce Prototype of an R Documentation File (base) |
prompt.data.frame | Produce Prototype of an R Documentation File (base) |
prompt.default | Produce Prototype of an R Documentation File (base) |
prop.test | Test for Equal or Given Proportions (base) |
provide | Loading and Listing of Packages (base) |
provide.data | Making data available as data.frame (sm) |
prune.misclass | Cost-complexity Pruning of Tree Object (tree) |
prune.rpart | Cost-complexity Pruning of an Rpart Object (rpart) |
prune.tree | Cost-complexity Pruning of Tree Object (tree) |
pruneLevels | Prune Factor Levels (nlme) |
pruneLevels.factor | Prune Factor Levels (nlme) |
pruneLevels.ordered | Prune Factor Levels (nlme) |
ps.options | PostScript Graphics (base) |
psignrank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
Psim | Simulate Binomial Spatial Point Process (spatial) |
pspline | Penalised smoothing splines (survival5) |
pstable | The Stable Distribution (stable) |
pt | The Student t Distribution (base) |
ptukey | The Studentized Range Distribution (base) |
punif | The Uniform Distribution (base) |
putC | Put Smoothed Data Into Wavelet Structure (wavethresh) |
putD | Put Wavelet Coefficients Into Wavelet Structure (wavethresh) |
pweibull | The Weibull Distribution (base) |
pwilcox | Distribution of the Wilcoxon Rank Sum Statistic (base) |
pyears | Person Years (survival5) |
q | Terminate an R Session (base) |
qbeta | The Beta Distribution (base) |
qbinom | The Binomial Distribution (base) |
qcauchy | The Cauchy Distribution (base) |
qchisq | The (non-central) Chi-Square Distribution (base) |
qda | Quadratic Discriminant Analysis (MASS) |
qdiscrete | Discrete Distribution (e1071) |
qexp | The Exponential Distribution (base) |
qf | The F Distribution (base) |
qgamma | The Gamma Distribution (base) |
qgeom | The Geometric Distribution (base) |
qhyper | The Hypergeometric Distribution (base) |
qlnorm | The Log Normal Distribution (base) |
qlogis | The Logistic Distribution (base) |
qlogspline | Logspline Density Estimation (logspline) |
qnbinom | The Negative Binomial Distribution (base) |
qnchisq | Defunct Functions (base) |
qnorm | The Normal Distribution (base) |
qpois | The Poisson Distribution (base) |
qqline | Quantile-Quantile Plots (base) |
qqnorm | Quantile-Quantile Plots (base) |
qqnorm.gls | Normal Plot of Residuals from a gls Object (nlme) |
qqnorm.lme | Normal Plot of Residuals or Random Effects from an lme Object (nlme) |
qqplot | Quantile-Quantile Plots (base) |
qr | The QR Decomposition of a Matrix (base) |
QR.Auxiliaries | Reconstruct the Q, R, or X Matrices from a QR Object (base) |
qr.coef | The QR Decomposition of a Matrix (base) |
qr.fitted | The QR Decomposition of a Matrix (base) |
qr.Q | Reconstruct the Q, R, or X Matrices from a QR Object (base) |
qr.qty | The QR Decomposition of a Matrix (base) |
qr.qy | The QR Decomposition of a Matrix (base) |
qr.R | Reconstruct the Q, R, or X Matrices from a QR Object (base) |
qr.resid | The QR Decomposition of a Matrix (base) |
qr.solve | The QR Decomposition of a Matrix (base) |
qr.X | Reconstruct the Q, R, or X Matrices from a QR Object (base) |
qrq | Linearized Quantile Estimation (quantreg) |
qsignrank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
qspreg | Quantile spline regression (funfits) |
qstable | The Stable Distribution (stable) |
qt | The Student t Distribution (base) |
qtukey | The Studentized Range Distribution (base) |
quadmap | Quadratic Map (Logistic Equation) (tseries) |
quakes | Locations of Earthquakes off Fiji (base) |
quantile | Sample Quantiles (base) |
quantile.default | Sample Quantiles (base) |
quarters | Return Various Periods from a Chron or Dates Object (chron) |
quasi | Family Objects for Models (base) |
quine | Absenteeism from School in Rural New South Wales (MASS) |
quit | Terminate an R Session (base) |
qunif | The Uniform Distribution (base) |
quote | Substituting and Quoting Expressions (base) |
qweibull | The Weibull Distribution (base) |
qwilcox | Distribution of the Wilcoxon Rank Sum Statistic (base) |
R.home | Return the R Home Directory (base) |
R.Version | Version Information (base) |
R.version | Version Information (base) |
R.version.string | Version Information (base) |
ra2ba | Convert Real Valued Array to Binary Array (bindata) |
Rabbit | Blood Pressure in Rabbits (MASS) |
raftery.diag | Raftery Lewis diagnostic: Calculate the number of iterations required for an MCMC run (coda) |
rainbow | Color Palettes (base) |
raintest | Rainbow-Test (lmtest) |
Random | Random Number Generation (base) |
random.effects | Extract Random Effects (nlme) |
random.effects.lme | Extract lme Random Effects (nlme) |
random.effects.lmList | Extract lmList Random Effects (nlme) |
randu | Random Numbers from Congruential Generator (base) |
ranef | Extract Random Effects (nlme) |
ranef.lme | Extract lme Random Effects (nlme) |
ranef.lmList | Extract lmList Random Effects (nlme) |
range | Range of Values (base) |
range.default | Range of Values (base) |
rank | Sample Ranks (base) |
ranks | Function to compute ranks from the dual (regression rankscore) process (quantreg) |
rat | Calculate a Rational Approximation by Continued Fractions (rational) |
ratetables | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
rational | Rational Approximation to Real Numbers (rational) |
Ratkowsky2 | Pasture yield data (NISTnls) |
Ratkowsky3 | Onion growth data (NISTnls) |
rats | Rat data from survival5 (survival5) |
rbeta | The Beta Distribution (base) |
rbind | Combine Columns/Rows into a Matrix (base) |
rbind.data.frame | Combine Columns/Rows into a Matrix (base) |
rbinom | The Binomial Distribution (base) |
rbridge | Simulation of Brownian Bridge (e1071) |
rcauchy | The Cauchy Distribution (base) |
rchisq | The (non-central) Chi-Square Distribution (base) |
rdiscrete | Discrete Distribution (e1071) |
Re | Complex Vectors (base) |
read.and.check | Read data interactively and check that it satisfies conditions (coda) |
read.bugs | Read BUGS output files (coda) |
read.bugs.interactive | Read BUGS output files interactively (coda) |
read.fwf | Read Fixed Width Format Files (base) |
read.list | Read a list of matrices from a file for unbalanced repeated measurements. (rmutil) |
read.matrix | Read Matrix Data (tseries) |
read.octave | Read Octave Data File (e1071) |
read.pnm | Portable Anymap Images (e1071) |
read.socket | Read from or Write to a Socket (base) |
read.surv | Read a list of matrices from a file for use with kalsurv. (rmutil) |
read.table | Data Input (base) |
read.table.url | Read Data and Code from a Web Server (base) |
read.ts | Read Time Series Data (tseries) |
readline | Read a Line from the Terminal (base) |
real | Real Vectors (base) |
recalc | Recalculate Condensed Linear Model Object (nlme) |
recalc.corAR1 | Recalculate for corStruct Object (nlme) |
recalc.corARMA | Recalculate for corStruct Object (nlme) |
recalc.corCAR1 | Recalculate for corStruct Object (nlme) |
recalc.corCompSymm | Recalculate for corStruct Object (nlme) |
recalc.corHF | Recalculate for corStruct Object (nlme) |
recalc.corIdent | Recalculate for corStruct Object (nlme) |
recalc.corSpatial | Recalculate for corStruct Object (nlme) |
recalc.corStruct | Recalculate for corStruct Object (nlme) |
recalc.corSymm | Recalculate for corStruct Object (nlme) |
recalc.modelStruct | Recalculate for a modelStruct Object (nlme) |
recalc.reStruct | Recalculate for an reStruct Object (nlme) |
recalc.varFunc | Recalculate for varFunc Object (nlme) |
Recall | Recursive Calling (base) |
rect | Draw a Rectangle (base) |
rectangle.window | Computes the Coefficients of a Rectangle Window. (e1071) |
reduce.nn | Reduce Training Set for a k-NN Classifier (class) |
reformulate | Modify Terms Objects (base) |
regexpr | Pattern Matching and Replacement (base) |
relevel | Reorder Levels of Factor (base) |
relevel.default | Reorder Levels of Factor (base) |
relevel.factor | Reorder Levels of Factor (base) |
relevel.ordered | Reorder Levels of Factor (base) |
remission | Cancer Remission and Cell Activity (boot) |
REMOVE | Remove Add-on Packages (base) |
remove | Remove Objects from a Specified Environment (base) |
rep | Replicate Elements (base) |
repeat | Control Flow (base) |
repeated | Non-normal Repeated Measurements Library (repeated) |
replace | Replace Values in a Vector (base) |
replications | Number of Replications of Terms (base) |
require | Loading and Listing of Packages (base) |
resample | Resample new pattern set from existing one (snns) |
reset | Reset-Test (lmtest) |
resid | Extract Model Residuals (base) |
residuals | Extract Model Residuals (base) |
residuals.coxph | Calculate Residuals for a `coxph' Fit (survival5) |
residuals.default | Extract Model Residuals (base) |
residuals.fmr | Fit a Generalized Nonlinear Regression Model with a Two or Three Point Mixture (gnlm) |
residuals.gar | Generalized autoregression (repeated) |
residuals.garch | Fit GARCH Models to Time Series (tseries) |
residuals.glm | Compute Residuals for `survreg' Objects (survival4) |
residuals.gls | Extract gls Residuals (nlme) |
residuals.glsStruct | Calculate glsStruct Residuals (nlme) |
residuals.gnlr | Fit a Generalized Nonlinear Regression Model (gnlm) |
residuals.gnlr3 | Fit a Generalized Nonlinear Regression Model for Three Parameter Distributions (gnlm) |
residuals.gnls | Extract gnls Residuals (nlme) |
residuals.gnlsStruct | Calculate gnlsStruct Residuals (nlme) |
residuals.lm | Accessing Linear Model Fits (base) |
residuals.lme | Extract lme Residuals (nlme) |
residuals.lmeStruct | Calculate lmeStruct Residuals (nlme) |
residuals.lmList | Extract lmList Residuals (nlme) |
residuals.locfit | Residuals from a "locfit" object. (locfit) |
residuals.lqs | Resistant Regression (lqs) |
residuals.nbkal | Negative Binomial Model with Kalman Update (repeated) |
residuals.nlmeStruct | Calculate nlmeStruct Residuals (nlme) |
residuals.nlr | Nonlinear Regression (gnlm) |
residuals.nls | Nonlinear Least Squares (nls) |
residuals.potthoff | Potthoff and Roy growth curve model (growth) |
residuals.rpart | Residuals From a Fitted Rpart Object (rpart) |
residuals.survreg | Compute Residuals for `survreg' Objects (survival5) |
residuals.tukeyline | Robust Line Fitting (eda) |
restart | Restart an Expression (base) |
restovec | Create a response object (rmutil) |
reStruct | Random Effects Structure (nlme) |
return | Function Definition (base) |
rev | Reverse a Vector's Elements (base) |
rexp | The Exponential Distribution (base) |
rf | The F Distribution (base) |
rgamma | The Gamma Distribution (base) |
rgb | RGB Color Specification (base) |
rgeom | The Geometric Distribution (base) |
RHOME | R Home Directory (base) |
rhyper | The Hypergeometric Distribution (base) |
ridge | Ridge regression (survival5) |
rivers | Lengths of Major North American Rivers (base) |
rle | Run Length Encoding (base) |
rlm | Robust Fitting of Linear Models (MASS) |
rlnorm | The Log Normal Distribution (base) |
rlogis | The Logistic Distribution (base) |
rlogspline | Logspline Density Estimation (logspline) |
rm | Remove Objects from a Specified Environment (base) |
rmaov | Split-plot ANOVA Model (growth) |
rmna | Create a repeated object, removing NAs (rmutil) |
rmutil | Utilities for Repeated Measurements Library (rmutil) |
rmvbin | Multivariate Binary Random Variates (bindata) |
rmvnorm | The Multivariate Normal Distribution (e1071) |
rnbinom | The Negative Binomial Distribution (base) |
rnchisq | Defunct Functions (base) |
rnegbin | Simulate Negative Binomial Variates (MASS) |
RNG | Random Number Generation (base) |
RNGkind | Random Number Generation (base) |
rngseed | Initialize random number generator seed (norm) |
rnorm | The Normal Distribution (base) |
road | Road Accident Deaths in US States (MASS) |
rock | Measurements on Petroleum Rock Samples (boot) |
rossler | A time series obtained by sampling the first variable (X) of the Rossler system. See the help file rossler.state for details of the system. (funfits) |
rossler.state | A multivariate time series of the form W_t=f(W_t-1) + e_t. The Rossler system is a system of three first order nonlinear ODEs. The system has been numerically integrated with a time step size of .1 and noise that is distributed normal with mean =0 and sigma=.1 is added at every time step. The map f is highly nonlinear and has complicated structure not easily fit by simple regression methods. The time series is created by sampling every 5 time steps. The rossler object is a matrix with columns the x,y and z values of the system at the sampling times. (funfits) |
Roszman1 | Quantum defects in iodine (NISTnls) |
rotifer | Numbers of Rotifers by Fluid Density (MASS) |
Round | Rounding of Numbers (base) |
round | Rounding of Numbers (base) |
row | Row Indexes (base) |
row.names | Data Frames (base) |
row.names<- | Data Frames (base) |
row/colnames | Row and Columnn Names (base) |
rownames | Row and Columnn Names (base) |
rownames<- | Row and Columnn Names (base) |
rowsum | Give Row Sums of a Matrix, Based on a Grouping Variable (base) |
rpart | Recursive Partitioning and Regression Trees (rpart) |
rpart.anova | Set up for `anova' Method for an Rpart Model (rpart) |
rpart.branch | Draws horseshoes - left child, up over, down to right child (rpart) |
rpart.class | Set up for `class' Method for an Rpart Model (rpart) |
rpart.control | Control for Rpart Models. (rpart) |
rpart.exp | Set up for `exp' Method for an Rpart Model (rpart) |
rpart.matrix | Creates model matrix from call to `rpart'. (rpart) |
rpart.object | Recursive Partitioning and Regression Trees Object (rpart) |
rpart.poisson | Set up for `poisson' Method for an Rpart Model (rpart) |
rpartco | Calculate Plotting Coordinates for Nodes of an Rpart Object (rpart) |
rpois | The Poisson Distribution (base) |
Rprofile | Initialization at Start of an R Session (base) |
rq | Quantile Regression (quantreg) |
rq.formula | Quantile Regression (quantreg) |
rrs.test | Function to compute regression rankscore test of linear hypothesis (quantreg) |
rs2 | Fit a Two-factor Box-Tidwell Nonlinear Response Surface (gnlm) |
rs3 | Fit a Three-factor Box-Tidwell Nonlinear Response Surface (gnlm) |
rsignrank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
rsq.rpart | Plots the Approximate R-Square for the Different Splits (rpart) |
rstable | The Stable Distribution (stable) |
rstandard | Regression Diagnostics (base) |
rstudent | Regression Diagnostics (base) |
rt | The Student t Distribution (base) |
rtpoly | Find the Coefficients of a Polynomial Given its Roots (timeslab) |
rtps | Robust thin plate spline regression (funfits) |
Rubber | Accelerated Testing of Tyre Rubber (MASS) |
rug | Add a Rug to a Plot (base) |
rumford | Count Rumford's Friction Data (Rnotes) |
runif | The Uniform Distribution (base) |
runs.test | Runs Test (tseries) |
ruspini | Ruspini Data (cluster) |
rv | Residual variance from a "locfit" object. (locfit) |
rv<- | Substitute variance estimate on a "locfit" object. (locfit) |
rw | Simulate Data from a Random Walk Process (timeslab) |
rweibull | The Weibull Distribution (base) |
rwiener | Simulation of Wiener Process (e1071) |
rwilcox | Distribution of the Wilcoxon Rank Sum Statistic (base) |
R_HOME | R Home Directory (base) |
R_LIBS | Loading and Listing of Packages (base) |
saddle | Saddlepoint Approximations for Bootstrap Statistics (boot) |
saddle.distn | Saddlepoint Distribution Approximations for Bootstrap Statistics (boot) |
saddle.distn.object | Saddlepoint Distribution Approximation Objects (boot) |
salinity | Water Salinity and River Discharge. (boot) |
sammon | Sammon's Non-Linear Mapping (multiv) |
sample | Random Samples and Permutations (base) |
sapply | Apply a Function over a List or Vector (base) |
Satellite | Landsat Multi-Spectral Scanner Image Data (mlbench) |
save | Save R Objects (base) |
save.image | Save R Objects (base) |
save.plot | Defunct Functions (base) |
sawheat | Yorke Penninsula Wheat Data (Rnotes) |
scale | Scaling and Centering of Matrices (base) |
scan | Read Data Values (base) |
scan.url | Read Data and Code from a Web Server (base) |
scatter.smooth | Scatter Plot with Smooth Curve Fitted by Loess (modreg) |
schur | Form the Schur Matrix Corresponding to AR Parameters (timeslab) |
screen | Creating and Controlling Multiple Screens on a Single Device (base) |
screeplot | Principal Components Analysis (mva) |
sd | Standard Deviation (base) |
se.aov | Internal Functions Used by model.tables (base) |
se.aovlist | Internal Functions Used by model.tables (base) |
se.contrast | Standard Errors for Contrasts in Model Terms (base) |
se.contrast.aov | Standard Errors for Contrasts in Model Terms (base) |
se.contrast.aovlist | Standard Errors for Contrasts in Model Terms (base) |
search | Give Search Path for R Objects (base) |
seasest | Calculate Box-Jenkins Estimates for a Seasonal ARIMA Model (timeslab) |
seaspred | Calculate Box-Jenkins Forecasts (timeslab) |
seconds | Return Hours, Minutes, or Seconds from a Times Object (chron) |
segments | Add Line Segments to a Plot (base) |
selfStart | Construct Self-starting Nonlinear Models (nls) |
selfStart.default | Construct Self-starting Nonlinear Models (nls) |
selfStart.formula | Construct Self-starting Nonlinear Models (nls) |
semat | Evaluate Kriging Standard Error of Prediction over a Grid (spatial) |
seq | Sequence Generation (base) |
seq.dates | Generate Chron or Dates Sequences (chron) |
seq.default | Sequence Generation (base) |
sequence | Create A Vector of Sequences (base) |
Servo | Servo Data (mlbench) |
set.panel | Specify a panel of plots (funfits) |
setdiff | Set Operations (base) |
setNames | Set the Names in an Object (nls) |
sets | Set Operations (base) |
setwd | Get or Set Working Directory (base) |
shapiro.test | Shapiro-Wilk Normality Test (ctest) |
ships | Ships Damage Data (MASS) |
SHLIB | Build Shared Library for Dynamic Loading (base) |
shoes | Shoe wear data of Box, Hunter and Hunter (MASS) |
show.data | Data Sets (base) |
shrimp | Percentage of Shrimp in Shrimp Cocktail (MASS) |
Shuttle | Shuttle Dataset (Statlog version) (mlbench) |
shuttle | Space Shuttle Autolander Problem (MASS) |
sig.trace | A significance trace for a hypothesis test (sm) |
sign | Sign Function (base) |
signif | Rounding of Numbers (base) |
SignRank | Distribution of the Wilcoxon Signed Rank Statistic (base) |
simcfs | Simulate Coeff. of a Polynomial with Zeros Outside Unit Circle (timeslab) |
simpleLoess | Internal modreg functions (modreg) |
simplex | Simplex Method for Linear Programming Problems (boot) |
simplex.object | Linear Programming Solution Objects (boot) |
simul.commonprob | Simulate Joint Binary Probabilities (bindata) |
Simul.conf.interval | Simultaneous confidence intervals for WARPing regression (haerdle) |
Simul.conf.plot | plot simultaneous confidence intervals for WARPing regression (haerdle) |
simulate.lme | simulate lme models (nlme) |
sin | Trigonometric Functions (base) |
single | Double Precision Vectors (base) |
sinh | Hyperbolic Functions (base) |
sink | Send R Output to a File (base) |
Sitka | Growth Curves for Sitka Spruce Trees in 1988 (MASS) |
Sitka89 | Growth Curves for Sitka Spruce Trees in 1989 (MASS) |
sj | Sheather-Jones criterion for nonparametric density estimation (sm) |
skewness | Skewness (e1071) |
Skye | AFM Compositions of Aphyric Skye Lavas (MASS) |
sleep | Students' Sleep Data (base) |
sm.ancova | Nonparametric analysis of covariance (sm) |
sm.autoregression | Nonparametric estimation of the autoregression function (sm) |
sm.density | Nonparametric density estimation in one, two or three dimensions. (sm) |
sm.density.compare | Comparison of univariate density estimates (sm) |
sm.logit | Nonparametric logistic regression (sm) |
sm.logit.bootstrap | Bootstrap goodness-of-fit test for a logistic regression model. (sm) |
sm.poisson | Nonparametric Poisson regression (sm) |
sm.poisson.bootstrap | Bootstrap goodness-of-fit test for a Poisson regression model (sm) |
sm.regression | Nonparametric regression with one or two covariates. (sm) |
sm.regression.autocor | Nonparametric regression with autocorrelated errors (sm) |
sm.rm | Nonparametric analysis of repeated measurements data (sm) |
sm.script | Run or Lists Scripts in Package sm (sm) |
sm.sigma | Estimation of the error standard deviation in nonparametric regression (sm) |
sm.sphere | Nonparametric density estimation for spherical data. (sm) |
sm.survival | Nonparametric regression with survival data. (sm) |
sm.ts.pdf | Nonparametric density estimation of stationary time series data (sm) |
smooth | Median Smoothing (eda) |
smooth.f | Smooth Distributions on Data Points (boot) |
smooth.Pspline | Fit a Polynomial Smoothing Spline of Arbitrary Order (pspline) |
smooth.spline | Fit a Smoothing Spline (modreg) |
snails | The Snail Mortality Data (Rnotes) |
snip.rpart | Snip Subtrees of an Rpart Object (rpart) |
snip.rpart.mouse | Internal function called from `snip.rpart' (rpart) |
snip.tree | Snip Parts of Tree Objects (tree) |
snns.read.nn.pattern | Read SNNS pattern file (snns) |
snns.read.result | Read SNNS result file (snns) |
snns.write.nn.pattern | Write SNNS pattern file (snns) |
softmax | identify the maximum in each row of a matrix (mda) |
solve | Solve a System of Equations (base) |
solve.default | Solve a System of Equations (base) |
solve.pdBlocked | Calculate Inverse of a Positive-Definite Matrix (nlme) |
solve.pdDiag | Calculate Inverse of a Positive-Definite Matrix (nlme) |
solve.pdIdent | Calculate Inverse of a Positive-Definite Matrix (nlme) |
solve.pdMat | Calculate Inverse of a Positive-Definite Matrix (nlme) |
solve.pdNatural | Calculate Inverse of a Positive-Definite Matrix (nlme) |
solve.polynomial | Zeros of a Polynomial (polynom) |
solve.QP | Solve a Quadratic Programming Problem (quadprog) |
solve.QP.compact | Solve a Quadratic Programming Problem (quadprog) |
solve.qr | Solve a System of Equations (base) |
solve.reStruct | Apply Solve to an reStruct Object (nlme) |
Sonar | Sonar, Mines vs. Rocks (mlbench) |
sort | Sort a Vector (base) |
sort.list | Ordering Permutation (base) |
sortedXyData | Create a sortedXyData object (nls) |
sortedXyData.default | Create a sortedXyData object (nls) |
source | Redirect Input (base) |
source.url | Read Data and Code from a Web Server (base) |
Soybean | Soybean Database (mlbench) |
spacebox | Boxplot of Variogram Cloud (sgeostat) |
spacecloud | Variogram Cloud (sgeostat) |
spec | Spectral Density Estimation (bats) |
spec.ar | Estimate Spectral Density of a Time Series from AR Fit (ts) |
spec.pgram | Estimate spectral density from smoothed periodogram (coda) |
spec.taper | Taper a Time Series (ts) |
Special | Special Functions of Mathematics (base) |
spectrum | Spectral Density Estimation (bats) |
spencer | Spencer's Mortality Dataset (locfit) |
sphercov | Spatial Covariance Functions (spatial) |
spline | Interpolating Splines (base) |
spline.des | Design Matrix for B-splines (splines) |
splineDesign | Design Matrix for B-splines (splines) |
splinefun | Interpolating Splines (base) |
splineKnots | Knot Vector from a Spline (splines) |
splineKnots.spline | Knot Vector from a Spline (splines) |
splineOrder | Determine the Order of a Spline (splines) |
splineOrder.bSpline | Determine the Order of a Spline (splines) |
splineOrder.polySpline | Determine the Order of a Spline (splines) |
spline[fun] | Interpolating Splines (base) |
splint | Cubic spline interpolation (funfits) |
split | Divide into Groups (base) |
split.data.frame | Divide into Groups (base) |
split.default | Divide into Groups (base) |
split.screen | Creating and Controlling Multiple Screens on a Single Device (base) |
splitFormula | Split a Formula (nlme) |
spreg | Smoothing spline regression (funfits) |
sqrt | Miscellaneous Mathematical Functions (base) |
sreg | Smoothing spline regression (funfits) |
ssanova | Fitting Smoothing Spline ANOVA Models (gss) |
SSasymp | Asymptotic Regression Model (nls) |
SSasympOff | Asymptotic Regression Model with an Offset (nls) |
SSasympOrig | Asymptotic Regression Model through the Origin (nls) |
SSbiexp | Biexponential model (nls) |
SSfol | First-order Compartment Model (nls) |
SSfpl | Four-parameter Logistic Model (nls) |
SSI | Simulates Sequential Spatial Inhibition Point Process (spatial) |
SSlogis | Logistic Model (nls) |
SSmicmen | Michaelis-Menten Model (nls) |
stable | The Stable Distribution (stable) |
stable.mode | Mode of a stable distribution (stable) |
stableglm | Stable Generalized Linear Regression Model (stable) |
stackloss | Brownlee's Stack Loss Plant Data (base) |
stars | Star Plots and Segment Diagrams of Multivariate Data (base) |
start | Encode the Terminal Times of Time Series (base) |
start.default | Encode the Terminal Times of Time Series (base) |
Startup | Initialization at Start of an R Session (base) |
stat.anova | GLM Anova Statistics (base) |
state | States of the U.S.A. (base) |
state.abb | States of the U.S.A. (base) |
state.area | States of the U.S.A. (base) |
state.center | States of the U.S.A. (base) |
state.division | States of the U.S.A. (base) |
state.name | States of the U.S.A. (base) |
state.region | States of the U.S.A. (base) |
state.x77 | States of the U.S.A. (base) |
stats | Calculate summary statistics (funfits) |
stdf | Standardize a Vector (timeslab) |
stdres | Extract Standardized Residuals from a Linear Model (MASS) |
steam | The Saturated Steam Pressure Data (Rnotes) |
stem | Stem-and-Leaf Plots (base) |
step | Choose a model by AIC in a Stepwise Algorithm (base) |
stepAIC | Choose a model by AIC in a Stepwise Algorithm (MASS) |
stepfun | Step Functions (stepfun) |
stft | Computes the Short Time Fourier Transform of a Vector (e1071) |
stl | Seasonal Decomposition of Time Series by Loess (ts) |
stop | Stop Function Execution (base) |
storage.mode | The (Storage) Mode of an Object (base) |
storage.mode<- | The (Storage) Mode of an Object (base) |
stormer | The Stormer Viscometer Data (Rnotes) |
str | Compactly Display the Structure of an Arbitrary R Object (base) |
str.data.frame | Compactly Display the Structure of an Arbitrary R Object (base) |
str.default | Compactly Display the Structure of an Arbitrary R Object (base) |
strata | Identify Strata Variables (survival5) |
Strauss | Simulates Strauss Spatial Point Process (spatial) |
strheight | Plotting Dimensions of Character Strings and Math Expressions (base) |
stripplot | 1-D Scatter Plots (base) |
strsplit | Split the Strings in a Vector (base) |
structure | Attribute Specification (base) |
strwidth | Plotting Dimensions of Character Strings and Math Expressions (base) |
studres | Extract Studentized Residuals from a Linear Model (MASS) |
sub | Pattern Matching and Replacement (base) |
Subscript | Extract or Replace Parts of an Object (base) |
subset | Subsetting Vectors and Data Frames (base) |
subset.data.frame | Subsetting Vectors and Data Frames (base) |
subset.default | Subsetting Vectors and Data Frames (base) |
subsets | functions for subset selection (leaps) |
subsets.default | functions for subset selection (leaps) |
subsets.formula | functions for subset selection (leaps) |
substitute | Substituting and Quoting Expressions (base) |
substr | Extract Substrings from a Character Vector (base) |
substring | Extract Substrings from a Character Vector (base) |
sugar | Fisher's Sugar Beet Data (Rnotes) |
sum | Sum of Vector Elements (base) |
summary | Object Summaries (base) |
summary.agnes | Summary method for `agnes' objects (cluster) |
summary.aov | Fit an Analysis of Variance Model (base) |
summary.aovlist | Fit an Analysis of Variance Model (base) |
summary.clara | Summary method for `clara' objects (cluster) |
summary.corAR1 | Summarize a corStruct Object (nlme) |
summary.corARMA | Summarize a corStruct Object (nlme) |
summary.corCAR1 | Summarize a corStruct Object (nlme) |
summary.corCompSymm | Summarize a corStruct Object (nlme) |
summary.corExp | Summarize a corStruct Object (nlme) |
summary.corGaus | Summarize a corStruct Object (nlme) |
summary.corHF | Summarize a corStruct Object (nlme) |
summary.corIdent | Summarize a corStruct Object (nlme) |
summary.corLin | Summarize a corStruct Object (nlme) |
summary.corSpher | Summarize a corStruct Object (nlme) |
summary.corStruct | Summarize a corStruct Object (nlme) |
summary.corSymm | Summarize a corStruct Object (nlme) |
Summary.data.frame | Internal and Group Methods and Generic Functions (base) |
summary.data.frame | Object Summaries (base) |
summary.default | Object Summaries (base) |
summary.diana | Summary method for `diana' objects (cluster) |
summary.ecdf | Empirical Cumulative Distribution Function (stepfun) |
summary.emclust | Summary method for `emclust' objects. (mclust) |
summary.emclust1 | Summary method for `emclust1' objects. (mclust) |
Summary.factor | Internal and Group Methods and Generic Functions (base) |
summary.factor | Object Summaries (base) |
summary.fanny | Summary Method for `fanny' Objects (cluster) |
summary.garch | Fit GARCH Models to Time Series (tseries) |
summary.glm | Accessing Generalized Linear Model Fits (base) |
summary.glm.null | Accessing Generalized Linear Model Fits (base) |
summary.gls | Summarize a gls Object (nlme) |
summary.gssanova | Assessing Smoothing Spline ANOVA Fits with Non Gaussian Responses (gss) |
summary.imwd | Summary Methods for `imwd' and `imwdc' Object (wavethresh) |
summary.imwdc | Summary Methods for `imwd' and `imwdc' Object (wavethresh) |
summary.infl | Regression Diagnostics (base) |
summary.krig | Summary for krigging fit (funfits) |
summary.lm | Accessing Linear Model Fits (base) |
summary.lm.null | Accessing Linear Model Fits (base) |
summary.lme | Summarize an lme Object (nlme) |
summary.lmList | Summarize an lmList Object (nlme) |
summary.loess | Local Polynomial Regression Fitting (modreg) |
summary.loglm | Summary Method Function for Objects of Class `loglm' (MASS) |
summary.matrix | Object Summaries (base) |
summary.mcmc | Summary statistics for Markov Chain Monte Carlo chains (coda) |
summary.mcmc.list | Summary statistics for Markov Chain Monte Carlo chains (coda) |
summary.meta.DSL | Random effects (DerSimonian-Laird) meta-analysis (rmeta) |
summary.meta.MH | Fixed effects (Mantel-Haenszel) meta-analysis (rmeta) |
summary.mlm | Accessing Linear Model Fits (base) |
summary.modelStruct | Summarize a modelStruct Object (nlme) |
summary.mona | Summary Method for `mona' Objects (cluster) |
summary.multilm | Stabilized Multivariate Tests (multilm) |
summary.negbin | Summary Method Function for Objects of Class `negbin' (MASS) |
summary.netfit | Summary of parameters of netfit object (funfits) |
summary.nls | Nonlinear Least Squares (nls) |
summary.nlsList | Summarize an nlsList Object (nlme) |
summary.nnreg | Summary for neural net regression (funfits) |
summary.pam | Summary Method for `pam' Objects (cluster) |
summary.pdBlocked | Summarize a pdMat Object (nlme) |
summary.pdCompSymm | Summarize a pdMat Object (nlme) |
summary.pdDiag | Summarize a pdMat Object (nlme) |
summary.pdIdent | Summarize a pdMat Object (nlme) |
summary.pdMat | Summarize a pdMat Object (nlme) |
summary.pdNatural | Summarize a pdMat Object (nlme) |
summary.polymars | summary.polymars - summarizes a polymars model (polymars) |
Summary.polynomial | Summary Group Methods for Polynomials (polynom) |
summary.polynomial | Summary of a Polynomial (polynom) |
summary.ppr | Projection Pursuit Regression (modreg) |
summary.prcomp | Principal Components Analysis (mva) |
summary.princomp | Principal Components Analysis (mva) |
summary.rlm | Summary Method for Robust Linear Models (MASS) |
summary.rpart | Summarize a Fitted Rpart Object (rpart) |
summary.ssanova | Assessing Smoothing Spline ANOVA Fits (gss) |
summary.stepfun | Step Functions (stepfun) |
summary.subsets | functions for subset selection (leaps) |
summary.survfit | Summary of a Survival Curve (survival5) |
summary.tps | Summary for thin plate spline regression (funfits) |
summary.tri | Return a summary of a triangulation object (tripack) |
summary.varComb | Summarize varFunc Object (nlme) |
summary.varConstPower | Summarize varFunc Object (nlme) |
summary.VarCorr.lme | Extract variance and correlation components (nlme) |
summary.varExp | Summarize varFunc Object (nlme) |
summary.varFixed | Summarize varFunc Object (nlme) |
summary.varFunc | Summarize varFunc Object (nlme) |
summary.varIdent | Summarize varFunc Object (nlme) |
summary.varPower | Summarize varFunc Object (nlme) |
summary.voronoi | Return a summary of a voronoi object (tripack) |
summary.wd | Summary Method for `wd' (1D Wavelet) Object (wavethresh) |
sunflowerplot | Produce a Sunflower Scatter Plot (base) |
sunspot | Annual Mean Sunspot Numbers (boot) |
sunspot.month | Yearly Sunspot Data, 1700--1988. Monthly Sunspot Data, 1749--1997. (ts) |
sunspot.year | Yearly Sunspot Data, 1700--1988. Monthly Sunspot Data, 1749--1997. (ts) |
sunspots | Monthly Mean Relative Sunspot Numbers (base) |
supplc | Supplementary Columns in Correspondence Analysis (multiv) |
supplr | Supplementary Rows in Correspondence Analysis (multiv) |
support | Compute support of wavelet (wavethresh) |
supsmu | Friedman's SuperSmoother (modreg) |
surf.gls | Fits a Trend Surface by Generalized Least-squares (spatial) |
surf.ls | Fits a Trend Surface by Least-squares (spatial) |
surface | Plots a surface (funfits) |
surface.addreg | Plots a surface and contours (funfits) |
surface.krig | Plots a surface and contours (funfits) |
surface.nnreg | Plots a surface and contours (funfits) |
surface.surface | Plots a surface (funfits) |
surface.tps | Plots a surface and contours (funfits) |
surrogate | Generate Surrogate Data (tseries) |
Surv | Create a Survival Object (survival5) |
survdiff | Test Survival Curve Differences (survival5) |
survexp | Compute Expected Survival (survival5) |
survexp.az | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
survexp.azr | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
survexp.fit | Work Function to Compute Expected Survival (survival5) |
survexp.fl | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
survexp.flr | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
survexp.minnwhite | US mortality data tables (ratetables) |
survexp.minwhite | US mortality data tables (ratetables) |
survexp.mn | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
survexp.mnwhite | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
survexp.us | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
survexp.usr | Census Data Sets for the Expected Survival and Person Years Functions (survival5) |
survexp.uswhite | US mortality data tables (ratetables) |
survexp.wnc | US mortality data tables (ratetables) |
survey | Student Survey Data (MASS) |
survfit | Compute a Survival Curve for Censored Data (survival5) |
survfit.object | Survival Curve Object (survival5) |
survival | Survival of Rats after Radiation Doses (boot) |
survkit | Weibull and Cox Models with Random Effects (event) |
survobrien | O'Brien's Test for Association of a Single Variable with Survival (survival5) |
survreg | Regression for a Parametric Survival Model (survival5) |
survreg.object | Parametric Survival Model Object (survival5) |
survreg.old | Old (survival4) Regression for a parametric survival model (survival5) |
survsum | Kaplan-Meier Survival Curve and Percentages at Selected Times (survival5) |
svd | Singular Value Decomposition of a Matrix (base) |
svdpls1a | Univariate Partial Least Squares Regression (pls) |
svdpls1b | Univariate Partial Least Squares Regression (pls) |
svdpls1c | Univariate Partial Least Squares Regression (pls) |
sweep | Sweep out Array Summaries (base) |
swiss | Swiss Fertility and Socioeconomic Indicators (1888) Data (base) |
switch | Select One of a List of Alternatives (base) |
swp | Sweep a Matrix (timeslab) |
swq | Sweep a Matrix (timeslab) |
symbol.C | Foreign Function Interface (base) |
symbol.For | Foreign Function Interface (base) |
symbols | Not Yet Implemented Functions and Unused Arguments (base) |
symnum | Symbolic Number Coding (base) |
synth.te | Synthetic Classification Problem (MASS) |
synth.tr | Synthetic Classification Problem (MASS) |
sys.call | Functions to Access the Function Call Stack (base) |
sys.calls | Functions to Access the Function Call Stack (base) |
sys.frame | Functions to Access the Function Call Stack (base) |
sys.frames | Functions to Access the Function Call Stack (base) |
sys.function | Functions to Access the Function Call Stack (base) |
sys.nframe | Functions to Access the Function Call Stack (base) |
sys.on.exit | Functions to Access the Function Call Stack (base) |
sys.parent | Functions to Access the Function Call Stack (base) |
sys.parents | Functions to Access the Function Call Stack (base) |
sys.status | Functions to Access the Function Call Stack (base) |
system | Invoke a System Command (base) |
system.file | Find Names of R System Files (base) |
system.test | Defunct Functions (base) |
system.time | CPU Time Used (base) |
T | Logical Vectors (base) |
t | Matrix Transpose (base) |
t.data.frame | Matrix Transpose (base) |
t.default | Matrix Transpose (base) |
t.test | Student's t-Test (base) |
table | Cross Tabulation (base) |
tabulate | Tabulation for Vectors (base) |
tan | Trigonometric Functions (base) |
tanh | Hyperbolic Functions (base) |
tapply | Apply a Function Over a ``Ragged'' Array (base) |
tau | Tau Particle Decay Modes (boot) |
tccov | Create a Vector of Time-constant Covariates for a Point Process (event) |
tcctomat | Create or add to a time-constant covariate (tccov) object (rmutil) |
tcltk | A minimal R/Tcl-Tk Interface (tcltk) |
tcm | Yields on Treasury Securities (tseries) |
TDist | The Student t Distribution (base) |
tempfile | Create Unique Names for (Temporary) Files (base) |
terasvirta.test | Teraesvirta Neural Network Test for Nonlinearity (tseries) |
terasvirta.test.default | Teraesvirta Neural Network Test for Nonlinearity (tseries) |
terasvirta.test.ts | Teraesvirta Neural Network Test for Nonlinearity (tseries) |
terms | Model Terms (base) |
terms.aovlist | Model Terms (base) |
terms.default | Model Terms (base) |
terms.formula | Model Terms (base) |
terms.terms | Model Terms (base) |
terrain.colors | Color Palettes (base) |
tetragamma | Special Functions of Mathematics (base) |
text | Add Text to a Plot (base) |
text.default | Add Text to a Plot (base) |
text.rpart | Place Text on a Dendrogram (rpart) |
theta.md | Estimate theta of the Negative Binomial by Deviance (MASS) |
theta.mm | Estimate theta of the Negative Binomial by Moments (MASS) |
thin | Thinning interval (coda) |
threshold | Thresholding Wavelets - Generic function (wavethresh) |
threshold.imwd | Threshold an `imwd' Object (2D Wavelet) (wavethresh) |
threshold.imwdc | Threshold an `imwdc' Object (2D Wavelet) (wavethresh) |
threshold.wd | Threshold a `wd' Object (1D Wavelet) (wavethresh) |
Thurber | Electron mobility data (NISTnls) |
tile.tree | Add Class Barplots to a Classification Tree Plot (tree) |
tilt.boot | Non-parametric Tilted Bootstrap (boot) |
time | Sampling Times of Time Series (base) |
time.default | Sampling Times of Time Series (base) |
time.ts | Sampling Times of Time Series (base) |
times | Generate Dates and Times Components from Input (chron) |
Titanic | Survival of passengers on the Titanic (base) |
title | Plot Annotation (base) |
tkeval | A minimal R/Tcl-Tk Interface (tcltk) |
tkexit | A minimal R/Tcl-Tk Interface (tcltk) |
tkget | A minimal R/Tcl-Tk Interface (tcltk) |
tkloop | A minimal R/Tcl-Tk Interface (tcltk) |
tkreset | A minimal R/Tcl-Tk Interface (tcltk) |
tkset | A minimal R/Tcl-Tk Interface (tcltk) |
tlpoly | Evaluate a Polynomial at a Vector of Points (timeslab) |
toepl | Form Symmetric Toeplitz Matrix Given its First Row (timeslab) |
toeplitz | Form Symmetric Toeplitz Matrix (ts) |
ToothGrowth | The Effect of Vitamin C on Tooth Growth in Guinea Pigs (base) |
topo | Spatial Topographic Data (spatial) |
topo.colors | Color Palettes (base) |
tpast | Create a Vector of Times Past since Previous Events for a Point Process (event) |
tps | Thin plate spline regression (funfits) |
tpsreg | Thin plate spline regression ~function to do ??? (funfits) |
trace | Trace All Calls to a Function. (base) |
traceback | Print Call Stack of Last Error (base) |
traceplot | Trace plot of MCMC output (coda) |
Traffic | Effect of Swedish Speed Limits on Accidents (MASS) |
transform | Transform an Object, e.g. a Data Frame (base) |
transform.data.frame | Transform an Object, e.g. a Data Frame (base) |
transform.default | Transform an Object, e.g. a Data Frame (base) |
tree | Fit a Classification or Regression Tree (tree) |
tree.control | Select Parameters for Tree (tree) |
tree.screens | Split Screen for Plotting Trees (tree) |
treering | Yearly Treering Data, -6000--1979. (ts) |
trees | Girth, Height and Volume for Black Cherry Trees (base) |
tri | A triangulation object (tripack) |
tri.find | Locate a point in a triangulation (tripack) |
tri.mesh | Create a delaunay triangulation (tripack) |
triangles | Extract a list of triangle from a triangulation object (tripack) |
Trig | Trigonometric Functions (base) |
trigamma | Trigamma Function (MASS) |
trmat | Evaluate Trend Surface over a Grid (spatial) |
trq | Function to compute analogues of the trimmed mean for the linear regression model. (quantreg) |
trq.print | Print a Trimmed Regression Quantile Summary (quantreg) |
TRUE | Logical Vectors (base) |
truehist | Plot a Histogram (MASS) |
trunc | Rounding of Numbers (base) |
trunc.default | Rounding of Numbers (base) |
ts | Time-Series Objects (base) |
ts-internal | Internal ts functions (ts) |
ts.intersect | Bind Two or More Time Series (ts) |
ts.plot | Plot Multiple Time Series (ts) |
ts.union | Bind Two or More Time Series (ts) |
tsboot | Bootstrapping of Time Series (boot) |
tsp | Tsp Attribute of Time-Series-like Objects (base) |
tsp<- | Tsp Attribute of Time-Series-like Objects (base) |
tsvar | Calculate Sample Variance of a Time Series (timeslab) |
ttime | Create a Vector of Total Time Elapsed for each Individual for a Point Process (event) |
Tukey | The Studentized Range Distribution (base) |
tuna | Tuna Sighting Data (boot) |
tvcov | Create a Vector of Time-varying Covariates for a Point Process (event) |
tvctomat | Create or add to a time-varying covariate (tvcov) object (rmutil) |
twins.object | Hierarchical Clustering Object (cluster) |
typeof | The Type of an Object (base) |
UCBAdmissions | Student Admissions at UC Berkeley (base) |
ucv | Unbiased Cross-Validation for Bandwidth Selection (MASS) |
UKDriverDeaths | Deaths of Car Drivers in Great Britain 1969--84 (ts) |
UKLungDeaths | Monthly Deaths from Lung Diseases in the UK (ts) |
unclass | Object Classes (base) |
uncompress | Decompression - Generic function (wavelet) (wavethresh) |
uncompress.default | Decompress a Compressed or Uncompressed Object (wavethresh) |
uncompress.imwdc | Use `uncompress()' on an `imwdc' object (wavethresh) |
uncompressed.object | Uncompressed (Wavelet) Object (wavethresh) |
undebug | Debug a function (base) |
undoc | Find Undocumented Objects (base) |
Uniform | The Uniform Distribution (base) |
union | Set Operations (base) |
unique | Extract Unique Elements (base) |
uniroot | One Dimensional Root Finding (base) |
units | Graphical Units (base) |
unix | Invoke a System Command (base) |
unix.time | CPU Time Used (base) |
unlink | Delete Files and Directories (base) |
unlist | Flatten Lists (base) |
unname | Remove `names' or `dimnames' (base) |
unpack8bit | Packing of 8-bit Integers (wavethresh) |
untangle.specials | Help Process the `specials' Argument of the `terms' Function. (survival5) |
untrace | Trace All Calls to a Function. (base) |
update | Update and Re-fit a Model Call (base) |
update.default | Update and Re-fit a Model Call (base) |
update.formula | Model Updating (base) |
update.gls | Update a gls Object (nlme) |
update.gnls | Update a gnls Object (nlme) |
update.groupedData | Update a groupedData Object (nlme) |
update.lme | Update an lme Object (nlme) |
update.lmList | Update an lmList Object (nlme) |
update.modelStruct | Update a modelStruct Object (nlme) |
update.nlme | Update an nlme Object (nlme) |
update.nlsList | Update an nlsList Object (nlme) |
update.packages | Download Packages from CRAN (base) |
update.varComb | Update varFunc Object (nlme) |
update.varConstPower | Update varFunc Object (nlme) |
update.varExpon | Update varFunc Object (nlme) |
update.varFunc | Update varFunc Object (nlme) |
update.varPower | Update varFunc Object (nlme) |
upgrade.mcmc | Upgrade mcmc objects in obsolete format (coda) |
upper.tri | Lower and Upper Triangular Part of a Matrix (base) |
urine | Urine Analysis Data (boot) |
url.show | Read Data and Code from a Web Server (base) |
USAccdeaths | Accidental Deaths in the US 1973--1978 (ts) |
USArrests | Violent Crime Rates by US State (base) |
UScereal | Nutritional and Marketing Information on US Cereals. (MASS) |
UScrime | The Effect of Punishment Regimes on Crime Rates (MASS) |
UseMethod | Class Methods (base) |
USJudgeRatings | Lawyers' Ratings of State Judges in the US Superior Court (base) |
USPersonalExpenditure | Personal Expenditure Data (base) |
uspop | The Population of the United States (base) |
VA | Veteran's Administration lung cancer trial. (MASS) |
VADeaths | Death Rate Data (base) |
var | Covariance Matrices (base) |
var.linear | Linear Variance Estimate (boot) |
var.test | F Test to Compare Two Variances (ctest) |
varClasses | Variance Function Classes (nlme) |
varComb | Combination of Variance Functions (nlme) |
varConstPower | Constant Plus Power Variance Function (nlme) |
VarCorr | Extract variance and correlation components (nlme) |
VarCorr.lme | Extract variance and correlation components (nlme) |
varExp | Exponential Variance Function (nlme) |
varFixed | Fixed Variance Function (nlme) |
varFunc | Variance Function Structure (nlme) |
variable.names | Case and Variable Names of Fitted Models (base) |
variable.names.default | Case and Variable Names of Fitted Models (base) |
variable.names.lm | Case and Variable Names of Fitted Models (base) |
varIdent | Constant Variance Function (nlme) |
Variogram | Calculate Semi-variogram (nlme) |
variogram | Compute Spatial Variogram (spatial) |
Variogram.corExp | Calculate Semi-variogram for a corExp Object (nlme) |
Variogram.corGaus | Calculate Semi-variogram for a corGaus Object (nlme) |
Variogram.corLin | Calculate Semi-variogram for a corLin Object (nlme) |
Variogram.corRatio | Calculate Semi-variogram for a corRatio Object (nlme) |
Variogram.corSpatial | Calculate Semi-variogram for a corSpatial Object (nlme) |
Variogram.corSpher | Calculate Semi-variogram for a corSpher Object (nlme) |
Variogram.default | Calculate Semi-variogram (nlme) |
Variogram.gls | Calculate Semi-variogram for Residuals from a gls Object (nlme) |
Variogram.lme | Calculate Semi-variogram for Residuals from an lme Object (nlme) |
varPower | Power Variance Function (nlme) |
varWeights | Extract Variance Function Weights (nlme) |
varWeights.glsStruct | Variance Weights for glsStruct Object (nlme) |
varWeights.lmeStruct | Variance Weights for lmeStruct Object (nlme) |
varWeights.varComb | Extract Variance Function Weights (nlme) |
varWeights.varFunc | Extract Variance Function Weights (nlme) |
vcov | Calculate Variance-Covariance Matrix for a Fitted Model Object (MASS) |
vcov.nlregb | Calculate Variance-Covariance Matrix for a `nlregb' Fit (MASS) |
vector | Vectors (base) |
Vehicle | Vehicle Silhouettes (mlbench) |
Version | Defunct Functions (base) |
version | Version Information (base) |
veteran | Veterans' Administration Lung Cancer study (survival5) |
vgfast | Fast variogram for replicated fields (funfits) |
vgram | Variogram (funfits) |
vi | Invoke a Text Editor (base) |
volcano | Topographic Information for the Maunga Whau Volcano (base) |
voronoi | Voronoi object (tripack) |
voronoi.mosaic | Create a Voronoi mosaic (tripack) |
votes.repub | Votes for Republican Candidate in Presidential Elections (cluster) |
Vowel | Vowel Recognition (Deterding data) (mlbench) |
waders | Counts of Waders at 15 Sites in South Africa (MASS) |
warning | Warning Messages (base) |
warnings | Print Warning Messages (base) |
warpbreaks | The Number of Breaks in Yarn during Weaving (base) |
warping | smoothed histogram by WARPing (haerdle) |
warping.step | plot WARPing estimates as step functions (haerdle) |
wd | Discrete wavelet transform (decomposition). (wavethresh) |
wd.object | Wavelet decomposition object (1D) (wavethresh) |
weekdays | Return Various Periods from a Chron or Dates Object (chron) |
Weibull | The Weibull Distribution (base) |
weighted.mean | Weighted Arithmetic Mean (base) |
weighted.residuals | Computed Weighted Residuals (base) |
weights | Accessing Linear Model Fits (base) |
weights.default | Accessing Linear Model Fits (base) |
weights.fmr | Fit a Generalized Nonlinear Regression Model with a Two or Three Point Mixture (gnlm) |
weights.gnlr | Fit a Generalized Nonlinear Regression Model (gnlm) |
weights.gnlr3 | Fit a Generalized Nonlinear Regression Model for Three Parameter Distributions (gnlm) |
weights.lm | Accessing Linear Model Fits (base) |
weights.nlr | Nonlinear Regression (gnlm) |
weights.nls | Nonlinear Least Squares (nls) |
weights.stable | Stable Generalized Linear Regression Model (stable) |
which | Which indices are TRUE ? (base) |
which.is.max | Find Maximum Position in Vector (nnet) |
while | Control Flow (base) |
white.test | White Neural Network Test for Nonlinearity (tseries) |
white.test.default | White Neural Network Test for Nonlinearity (tseries) |
white.test.ts | White Neural Network Test for Nonlinearity (tseries) |
whiteside | House Insulation: Whiteside's Data (MASS) |
width.SJ | Bandwidth Selection by Pilot Estimation of Derivatives (MASS) |
wilcox.test | Wilcoxon Rank Sum and Signed Rank Tests (ctest) |
Wilcoxon | Distribution of the Wilcoxon Rank Sum Statistic (base) |
window | Time Windows (base) |
window.default | Time Windows (base) |
window.mcmc | Time windows for mcmc objects (coda) |
window.ts | Time Windows (base) |
windowf | Calculate Nonparamteric Spectral Density Estimate (timeslab) |
wn | Simulate White Noise Data (timeslab) |
wntest | Form Plots for White Noise Test (timeslab) |
women | Average Heights and Weights for American Women (base) |
wool | Australian Relative Wool Prices (boot) |
wr | Discrete wavelet transform (reconstruction). (wavethresh) |
write | Write Data to a File (base) |
write.data | Writes data set out to a file (funfits) |
write.matrix | Write a Matrix or Data Frame (MASS) |
write.pgm | Portable Anymap Images (e1071) |
write.socket | Read from or Write to a Socket (base) |
write.table | Data Output (base) |
wtloss | Weight Loss Data from an Obese Patient (MASS) |
wvrelease | Identify version of wavelet software. (wavethresh) |
X11 | X Window System Graphics (base) |
x11 | X Window System Graphics (base) |
xedit | Invoke a Text Editor (base) |
xemacs | Invoke a Text Editor (base) |
xgobi | XGobi: Dynamic Graphics for Data Analysis (xgobi) |
xgvis | xgvis: interactive multidimensional scaling using xgobi for display (xgobi) |
xinch | Graphical Units (base) |
xline | Draw a vertical line (funfits) |
xor | Logical Operators (base) |
xor.bench | Continuous XOR Benchmark Problem (snns) |
xpdrows.data.frame | Data Frames (base) |
xpred.rpart | Return Cross-Validated Predictions (rpart) |
xy.coords | Extracting Plotting Structures (base) |
xyinch | Graphical Units (base) |
xyVector | Construct an xyVector Object (splines) |
years | Return Various Periods from a Chron or Dates Object (chron) |
yinch | Graphical Units (base) |
yline | Draw a horizontal line (funfits) |
zapsmall | Rounding of Numbers (base) |
zip.file.extract | Extract File from a Zip Archive (base) |