# pairwise.wilcox.test

##### Pairwise Wilcoxon Rank Sum Tests

Calculate pairwise comparisons between group levels with corrections for multiple testing.

- Keywords
- htest

##### Usage

```
pairwise.wilcox.test(x, g, p.adjust.method = p.adjust.methods,
paired = FALSE, …)
```

##### Arguments

- x
response vector.

- g
grouping vector or factor.

- p.adjust.method
method for adjusting p values (see

`p.adjust`

). Can be abbreviated.- paired
a logical indicating whether you want a paired test.

- …
additional arguments to pass to

`wilcox.test`

.

##### Details

Extra arguments that are passed on to `wilcox.test`

may or may
not be sensible in this context. In particular,
only the lower triangle of the matrix of possible comparisons is being
calculated, so setting `alternative`

to anything other than
`"two.sided"`

requires that the levels of `g`

are ordered
sensibly.

##### Value

Object of class `"pairwise.htest"`

##### See Also

##### Examples

`library(stats)`

```
# NOT RUN {
attach(airquality)
Month <- factor(Month, labels = month.abb[5:9])
## These give warnings because of ties :
pairwise.wilcox.test(Ozone, Month)
pairwise.wilcox.test(Ozone, Month, p.adj = "bonf")
detach()
# }
```

*Documentation reproduced from package stats, version 3.6.0, License: Part of R 3.6.0*

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