wilcox.test(x, y = NULL, alternative = "two.sided", mu = 0, paired = FALSE, exact = FALSE, 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. |
wilcox.test
performs one and two sample Wilcoxon tests on
vectors of data.
If only 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
.
"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. |