test_differential_abundance_Wilcoxon: Wilcoxon rank sum differential abundance test

Description Usage Arguments Value Examples

View source: R/diff_tests.R

Description

Perform Wilcoxon rank sum test on individual taxa in a phylseq object. If block is specified, then it is used as a blocking factor. If block is NULL, then standard Wilcoxon test is applied.

Usage

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test_differential_abundance_Wilcoxon(physeq, group, compare = NULL,
  block = NULL, excludeZeros = FALSE, p.adjust.method = "fdr")

Arguments

physeq

Phyloseq object.

group

Name of column in sample metadata to perform group-wise comparisons on.

compare

List of 2 groups to be compared, which are present in the group column. Can be ignored or set to NULL when there are only 2 levels in the factor.

block

Name of column in sample metadata to control for the group-wise comparisons.

excludeZeros

logical. Should abundance=0 for a taxon in a sample be ignored when performing Wilcoxon test?

p.adjust.method

Method for adjusting P-values for multiple hypothesis testing.

Value

Returns a list containing the following:

Examples

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## Not run: 

# If there are only 2 levels for \code{Diet}
res <- test_differential_abundance_Wilcoxon(physeq, group = "Diet", block = "Gender")

# If there are multiple levels for \code{Diet}
res <- test_differential_abundance_Wilcoxon(physeq, group = "Diet", compare=c("Control", "High_Fat"), block = "Gender")
res <- test_differential_abundance_Wilcoxon(physeq, group = "Diet", compare=c("Control", "High_Fibre"), block = "Gender")

## End(Not run)

TBrach/MicrobiomeX documentation built on April 19, 2018, 12:25 a.m.