testRelations

: frequency matrix with gene_ids in the rownames

data

: a vector with the trait to test, binary or numerical variable

trait

: a character string indicating the type of test to be applied

type

: an optional logical vector to select a subset of the samples to perform the test
default restrict = rep(TRUE, ncol(data)) ie all the samples are selected

restrict

: type of multiple adjustment default is "BH" i.e. Benjamini & Hochberg method

multiple.adjust

: logical with default FALSE wether the test should be paired or not

paired

: default FALSE, when TRUE the progress is printed each 1000 steps

debug


This function applies a statistical test either a correlation (spearman, pearson),
     wilcoxon or t.test as a function of a given phenotype. It will return a matrix of probabilities
     p and q values along with the correlation coefficient or the enrichment variable when a binary parameter.


'MetaOMineR' suite is a set of R packages that offers many functions and modules needed for the analyses
of quantitative metagenomics data. 'momr' is the core package and contains routines for biomarker identification and exploration.
Developed since the beginning of field, 'momr' has evolved and is structured around the different modules
such as preprocessing, analysis, vizualisation, etc. See package help for more information.

testRelations: testRelations

Description

Usage

Arguments

Value

Details