mc.fried: Multiple Comparison by 'Friedman Test' and Pairwise...

In mt: Metabolomics Data Analysis Toolbox

Multiple Comparison by 'Friedman Test' and Pairwise Comparison by 'Wilcoxon Test'

Description

Performs multiple comparison by Friedman test and pairwise comparison by Wilcoxon Test.

Usage

mc.fried(x, p.adjust.method = p.adjust.methods,...)

Arguments

x	A matrix or data frame to be tested.
p.adjust.method	Method for adjusting p values (see p.adjust).
...	Additional arguments pass to friedman.test or pairwise.wilcox.test.

Value

A list with components:

fried	Hypothesis test results of friedman.test.
wilcox	Hypothesis test results of pairwise.wilcox.test.
gl.pval	Global or overall p value returned by friedman.test.
mc.pval	Pairwise p value returned by pairwise.wilcox.test.

Author(s)

Wanchang Lin

See Also

maccest, mc.anova

Examples

# Iris data
data(iris)
x      <- subset(iris, select = -Species)
y      <- iris$Species

method <- c("randomForest","svm","pcalda","knn")
pars   <- valipars(sampling="cv", niter = 10, nreps=4)
res    <- maccest(x, y, method=method, pars=pars,
                  comp="fried",kernel="linear") 

res

htest <- mc.fried(res$acc.iter)

mt documentation built on June 22, 2024, 12:24 p.m.