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.
n.classes
the number of cells into which the observations
are to be allocated.
If the vector
cut.points is supplied, then
n.classes is set to
length(cut.points)- 1.
cut.points
vector of cutpoints that define the cells.
x[i] is allocated to cell j if
cut.points[j] < x[i] <=
cut.points[j+1].
If
x[i] is less than or equal to the first cutpoint
or greater than the last cutpoint,
then
x[i] is treated as missing.
If the hypothesized distribution is discrete,
cut.points must be supplied.
n.param.est
number of parameters estimated from the data.
distribution
character string that specifies the hypothesized
distribution in the one sample test.
For the two sample test, i.e. when
y is specified,
this argument is ignored.
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:
a list of class
"htest".
See the help file for
chisq.gof for details.