rnb.execute.diffVar: rnb.execute.diffVar

Description Usage Arguments Value Author(s)

View source: R/differentialVariability.R

Description

This routine computes sites that are differentially variable between two sample groups specified as the column name in the phenotypic table.

Usage

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rnb.execute.diffVar(
  rnb.set,
  pheno.cols = rnb.getOption("differential.comparison.columns"),
  region.types = rnb.region.types.for.analysis(rnb.set),
  columns.adj = rnb.getOption("covariate.adjustment.columns"),
  adjust.celltype = rnb.getOption("differential.adjustment.celltype"),
  disk.dump = rnb.getOption("disk.dump.big.matrices"),
  disk.dump.dir = tempfile(pattern = "diffMethTables_")
)

Arguments

rnb.set

Object of type RnBSet on which differential variability analysis should be conducted

pheno.cols

Column names used to define the classes, whose methylation variability should be compared with each other

region.types

Regions types to be used for the analysis. Defaults to the results given by rnb.region.types.for.analysis of the given RnBSet.

columns.adj

Column names or indices in the table of phenotypic information to be used for confounder adjustment in the differential variability analysis.

adjust.celltype

Flag indicating whether the resulting table should also contain estimated celltype contributions. See rnb.execute.ct.estimation for details.

disk.dump

Flag indicating whether the resulting differential methylation object should be file backed, ie.e the matrices dumped to disk

disk.dump.dir

disk location for file backing of the resulting differential methylation object. Only meaningful if disk.dump=TRUE.

Value

Object of type RnBDiffMeth containing information about the differential variability analysis.

Author(s)

Michael Scherer


RnBeads documentation built on March 3, 2021, 2 a.m.