plotHeatmap: Builds ten heatmaps with different p-values and clustering...

In MAIT: Statistical Analysis of Metabolomic Data

Description

This function takes a MAIT object containing information of the significant features in the data and plots 10 heatmaps. 5 diferent p-values (0.05, 0.01, 0.001, 1e-4 and 1e-5) and two clustering distances (euclidean and pearson) are used.

Usage

plotHeatmap(MAIT.object=NULL)

Arguments

MAIT.object

A MAIT-class object where significant features have already been found.

Value

10 different heatmaps using 5 p-values (0.05, 0.01, 0.001, 1e-4 and 1e-5) and two clustering distances (euclidean and pearson) are created. The plots will be stored as png files in a folder called (working directory)/Heatmaps

Author(s)

Francesc Fernandez, [e-mail]

See Also

spectralAnova spectralTStudent

Examples

data(MAIT_sample)
MAIT<-spectralSigFeatures(MAIT,p.adj="fdr",parametric=TRUE)
MAIT<-plotHeatmap(MAIT)

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