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runWilcoxon

Perform Wilcoxon rank-sum test


Description

Perform Wilcoxon rank-sum tests on specified dataset using given method.

Usage

runWilcoxon(object, data.use = "all", compare.method)

Arguments

object

liger object.

data.use

This selects which dataset(s) to use. (default 'all')

compare.method

This indicates the metric of the test. Either 'clusters' or 'datasets'.

Value

A 10-columns data.frame with test results.

Examples

## Not run: 
# ligerex (liger object based on in-memory datasets), factorization complete
wilcox.results <- runWilcoxon(ligerex, compare.method = "cluster")
wilcox.results <- runWilcoxon(ligerex, compare.method = "datastes", data.use = c(1, 2))
# HDF5 input
# ligerex (liger object based on datasets in HDF5 format), factorization complete
# Need to sample cells before implementing Wilcoxon test
ligerex <- readSubset(ligerex, slot.use = "norm.data", max.cells = 1000)
de_genes <- runWilcoxon(ligerex, compare.method = "clusters")

## End(Not run)

rliger

Linked Inference of Genomic Experimental Relationships

v1.0.0
GPL-3
Authors
Joshua Welch [aut, ctb], Chao Gao [aut, ctb, cre], Jialin Liu [aut, ctb], Joshua Sodicoff [aut, ctb], Velina Kozareva [aut, ctb], Evan Macosko [aut, ctb], Paul Hoffman [ctb], Ilya Korsunsky [ctb], Robert Lee [ctb]
Initial release
2021-04-18

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