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. |