wilcox.test(x, y = NULL, alternative = "two.sided", mu = 0, paired = FALSE, exact = NULL, correct = TRUE)
x
| numeric vector of data values. |
y
| an optional numeric vector of data values. |
alternative
|
indicates the alternative hypothesis and must be
one of "two.sided" , "greater" or "less" .
You can specify just the initial letter.
|
mu
| a number specifying an optional location parameter. |
paired
| a logical indicating whether you want a paired test. |
exact
| a logical indicating whether an exact p-value should be computed. |
correct
| a logical indicating whether to apply continuity correction in the normal approximation for the p-value. |
x
is given, or if both x
and y
are
given and paired
is TRUE
, a Wilcoxon signed rank test
of the null that the median of x
(in the one sample case) or
of x-y
(in the paired two sample case) equals mu
is
performed.
Otherwise, if both x
and y
are given and paired
is FALSE
, a Wilcoxon rank sum test (equivalent to the
Mann-Whitney test) is carried out. In this case, the null
hypothesis is that the location of the distributions of x
and
y
differ by mu
.
By default (if exact
is not specified), an exact p-value is
computed if the samples contain less than 50 finite values and
there are no ties. Otherwise, a normal approximation is used.
"htest"
containing the following
components:
statistic
| the value of the test statistic with a name describing it. |
parameter
| the parameter(s) for the exact distribution of the test statistic. Currently, only normal approximations are used. |
p.value
| the p-value for the test. |
null.value
|
the location parameter mu .
|
alternative
| a character string describing the alternative hypothesis. |
method
| the type of test applied. |
data.name
| a character string giving the names of the data. |