eco.pairtest: Kruskall - Wallis + Wilcoxon (Mann-Whitney U) and aov +...

In EcoGenetics: Management and Exploratory Analysis of Spatial Data in Landscape Genetics

Description

Kruskall - Wallis + Wilcoxon (Mann-Whitney U) and aov + Tukey-HSD tests for an ecogen object

Usage

eco.pairtest(
  eco,
  df = c("P", "E", "A", "C"),
  x,
  test = c("wilcoxon", "tukey"),
  adjust = "fdr",
  only.p = TRUE,
  ...
)

Arguments

eco	Object of class "ecogen".
df	The data frame for the analysis. Could be "P", "E" "A" or "C". For dominant data, "A" is here considered here a synonym of the G data frame.
x	The name of the S slot column with the groups for the analysis.
test	Test to perform ("wilcoxon", "tukey").
adjust	P-values correction method for multiple tests passed to p.adjust. Defalut is "fdr".
only.p	Should it be just a matrix with P-values returned? Default TRUE.
...	Additional arguments passed to wilcox.test or TukeyHSD.

Details

This program returns the Wilcoxon (Mann-Whitney U) or Tukey-HSD statistics and P-values for the multiple comparisons of the variables contained in the selected data frame, among the levels of a factor of the slot "S".

Author(s)

Leandro Roser [e-mail]

See Also

wilcox.test TukeyHSD

Examples

## Not run: 
data(eco3)
wil <- eco.pairtest(eco = eco3, df = "P", x = "structure")
wil
wil <- eco.pairtest(eco = eco3,df = "E", x = "structure")
wil
wil <- eco.pairtest(eco = eco3, df = "P", x = "structure", only.p = FALSE)
wil
wil <- eco.pairtest(eco = eco3,df = "P", x = "structure", test = "tukey")
wil

## End(Not run)

EcoGenetics documentation built on July 8, 2020, 5:46 p.m.