batchEstPlot: batchEstPlot

In ConesaLab/MultiBaC: Multiomic Batch effect Correction

Description

This function uses linear models to estimate the batch effect magnitude using the common data across batches. It compares the result with theoretical distribution of diferrent levels of batch magnitude.

Usage

batchEstPlot(mbac, ...)

Arguments

mbac	Object of class mbac generated by *createMbac*.
...	Other graphical parameters.

Value

Batch estimation plot is displayed.

Examples

data('multiyeast')

my_mbac <- createMbac (inputOmics = list(A.rna, A.gro, B.rna, B.ribo, C.rna, C.par),
                       batchFactor = c("A", "A", "B", "B", "C", "C"),
                       experimentalDesign = list("A" =  c("Glu+", "Glu+",
                       "Glu+", "Glu-", "Glu-", "Glu-"),
                       "B" = c("Glu+", "Glu+", "Glu-", "Glu-"),
                       "C" = c("Glu+", "Glu+", "Glu-", "Glu-")),
                       omicNames = c("RNA", "GRO", "RNA", "RIBO", "RNA", "PAR"))

batchEstPlot (my_mbac)

ConesaLab/MultiBaC documentation built on Jan. 24, 2022, 5:17 a.m.