spectralAnova: Extract significant features from a MAIT object

In MAIT: Statistical Analysis of Metabolomic Data

Description

Function spectralAnova takes an MAIT-class object and obtains which of the variables are significant given a p-value threshold. The parameters of the significant features can ve printed to an output table (TRUE by default).

Usage

spectralAnova(pvalue = 0.05, 
              p.adj="none",
              MAIT.object = NULL, 
              printCSVfile = TRUE)

Arguments

MAIT.object	A MAIT-class object where function peakAggregation has already been applied. The output of the function is going to be an update of the same MAIT-class object.
pvalue	P-value threshold. Variables having a p-value lower than this value is considered as a significant variable.
p.adj	Post-hoc method to be used to correct the p-values.
printCSVfile	Set to TRUE if an output table has to be produced. See function sigPeaksTable for more information.

Value

A MAIT-class object containing the significant features of the scores slot of MAIT-class object used as an input.

Author(s)

Francesc Fernandez, [e-mail]

See Also

MAIT-class peakAggregation sigPeaksTable

MAIT documentation built on Nov. 8, 2020, 5:43 p.m.