combo.wilcox: Wilcoxon tests through many factors
In jtlandis/justinmisc: Justin's Misc

Calculate the wilcoxon test between several factors

1 2	combo.wilcox(df, response, factor, p.v.correct = FALSE, single.factor.comp = FALSE)

`df`	data frame passed containing value vector and factors
`response`	positive integer index or character name of a column response vector
`p.v.correct`	Logical assignment. Default set to FALSE. Will return logical vector along with test results. TRUE indicates P.value is less than adjusted P.value, FALSE indicates P.value is greated than adjusted P.value. Adjusted P.value is calculated using the bonferroni correction.
`single.factor.comp`	logical assignment. Default set to FALSE. Set to TRUE when you user wants compare between two levels of the same factor while all other factors are held constant. When set to TRUE, factor vector must be at least length 2.
`factor.colmn`	vector of positive integer(s) index(es) or character name of column(s) that describes the index of the factors to be used. Number of factors passed changes the comparison. One factor vector passed will return wilcox test values between levels. Multiple factor vectors passed will return wilcon test values between all combination of interactions of factors.