batchQC_condition_adjusted {BatchQC}R Documentation

Returns adjusted data after remove the variation across conditions

Description

Returns adjusted data after remove the variation across conditions

Usage

batchQC_condition_adjusted(data.matrix, batch, condition)

Arguments

data.matrix

Given data or simulated data from rnaseq_sim()

batch

Batch covariate

condition

Condition covariate of interest

Value

Adjusted data after remove the variation across conditions

Examples

nbatch <- 3
ncond <- 2
npercond <- 10
data.matrix <- rnaseq_sim(ngenes=50, nbatch=nbatch, ncond=ncond, npercond=
    npercond, basemean=10000, ggstep=50, bbstep=2000, ccstep=800, 
    basedisp=100, bdispstep=-10, swvar=1000, seed=1234)
batch <- rep(1:nbatch, each=ncond*npercond)
condition <- rep(rep(1:ncond, each=npercond), nbatch)
batchQC_condition_adjusted(data.matrix, batch, condition)

[Package BatchQC version 1.10.1 Index]