mbecHeatPlot: Heatmap plotting function

In buschlab/MBECS: Evaluation and correction of batch effects in microbiome data-sets

Description

Takes data.frame from 'mbecHeat()' and produces a ggplot2 object.

Usage

mbecHeatPlot(center, scale, tmp.cnts, tmp.meta, model.vars)

Arguments

center	Boolean flag to indicate whether data is centered or not.
scale	Boolean flag to indicate whether data is scaled or not.
tmp.cnts	Count values of selected features.
tmp.meta	Covariate information for potting.
model.vars	Two covariates of interest to select by first variable selects panels and second one determines coloring.

Value

ggplot2 object

Examples

# This will return a paneled plot that shows results for the variance
# assessment.
heat.df <- mbecHeat(input.obj=dummy.mbec, model.vars=c('group','batch'),
center=TRUE, scale=TRUE, method='TOP', n=5, return.data=TRUE)
plot.heat <- mbecHeatPlot(center=TRUE, scale=TRUE, tmp.cnts=heat.df[[1]],
tmp.meta=heat.df[[2]], model.vars=c('group','batch'))

buschlab/MBECS documentation built on Jan. 21, 2022, 1:27 a.m.