spectralKruskal: Extract significant features from a MAIT object

Description Usage Arguments Value Author(s) See Also

Description

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

Usage

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spectralKruskal(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, francesc.fernandez.albert@upc.edu

See Also

MAIT-class peakAggregation sigPeaksTable


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