Computes the average smoothed global CpG methylation values
for each sample and tests for differences between groups while adjusting for the provided
covariates. CpG island testing is performed for the human, mouse, and rat genomes.
Global methylation and CpG island differences are tested for using an ANOVA through the
aov
function.
Usage
globalStats(
bs.filtered.bsseq = bs.filtered.bsseq,
genome = genome,
testCovariate = testCovariate,
adjustCovariate = NULL,
matchCovariate = NULL
)
Arguments
- bs.filtered.bsseq
Smoothed
bsseq
object with design matrix in pData- genome
Character specifying the genome of interest
- testCovariate
The factor to test for differences between groups
- adjustCovariate
The covariate(s) to adjust for between groups
- matchCovariate
Another covariate to adjust for between groups (for dmrseq compatibility)