a numeric vector.
NAs
and
Infs are allowed but will be removed.
OPTIONAL ARGUMENTS:
data.x
a data frame in which to interpret the variable named in
x.
If this is missing, then
x must be a vector.
data.type
a character string; if
"Use Data Set",
x is a required argument.
If
"Make Sequence",
start,
end, and
length are required arguments.
start
starting value of the sequence.
end
ending value of sequence, a value less than
start is allowed.
length
number of values in the result.
density.p
if
TRUE, density values of the chosen distribution at the values in
x
or the sequence are computed.
cdf.p
if
TRUE, cumulative probabilities of the chosen distribution
at the values in
x
or the sequence are computed.
quantile.p
if
TRUE, quantiles of the chosen distribution at the values in
x
or the sequence are computed.
distribution
a character string that specifies the distribution.
Possible values are:
normal,
beta,
cauchy,
chisquare,
exponential,
f,
gamma,
lognormal,
logistic,
t,
uniform,
weibull,
binomial,
geometric,
hypergeometric,
negbinomial,
poisson.
print.object.p
if
TRUE, the result of the test is printed.
df1
parameter of a distribution, when
distribution is
"chisquare",
"f", or
"t".
df2
parameter of a distribution, when
distribution is
"f".
max
parameter of a distribution, when
distribution is
"uniform".
min
parameter of a distribution, when
distribution is
"uniform".
mean
parameter of a distribution, when
distribution is
"exponential",
"lognormal",
"normal",
"poisson".
sd
parameter of a distribution, when
distribution is
"normal",
"lognormal".
location
parameter of a distribution, when
distribution is
"cauchy",
"logistic".
scale
parameter of a distribution, when
distribution is
"cauchy",
"logistic",
"weibull".
shape1
parameter of a distribution, when
distribution is
"beta",
"gamma",
"weibull".
shape2
parameter of a distribution, when
distribution is
"beta".
prob
parameter of a distribution, when
distribution is
"binomial",
"geometric",
"negbinomial".
size
parameter of a distribution, when
distribution is
"binomial",
"negbinomial".
k
parameter of a distribution, when
distribution is
"negbinomial".
m
parameter of a distribution, when
distribution is
"hypergeometric".
n
parameter of a distribution, when
distribution is
"hypergeometric".
VALUE:
data frame. Invisibly returns the density, probability, or quantile,
for the chosen distribution with the specified parameters. The first
column is the input data.
SIDE EFFECTS:
If
print.object.p is
TRUE the results are printed.