Man pages for variancePartition
Quantify and interpret divers of variation in multilevel gene expression experiments

as.data.frame-varPartResults-methodConvert to data.frame
as.matrix-varPartResults-methodConvert to matrix
calcVarPart-methodCompute variance statistics
canCorPairscanCorPairs
classifyTestsFMultiple Testing Genewise Across Contrasts
classifyTestsF-MArrayLM2-methodMultiple Testing Genewise Across Contrasts
colinearityScoreCollinearity score
dot-getAllUniContrastsGet all univariate contrasts
dot-isMixedModelFormulaCheck if model contains a random effect
dot-standard_transformCompute standard post-processing values
dream-methodDifferential expression with linear mixed model
eBayes-methodeBayes for MArrayLM2
ESS-methodEffective sample size
extractVarPartExtract variance statistics
fitExtractVarPartModel-methodFit linear (mixed) model, report variance fractions
fitVarPartModel-methodFit linear (mixed) model
getContrast-methodExtract contrast matrix for linear mixed model
getVarianceComponentsExtract variance terms
ggColorHueDefault colors for ggplot
MArrayLM2-classClass MArrayLM2
plotCompareP-methodCompare p-values from two analyses
plotContrastsPlot representation of contrast matrix
plotCorrMatrixplotCorrMatrix
plotCorrStructureplotCorrStructure
plotPercentBarsBar plot of variance fractions
plotStratifyplotStratify
plotStratifyByplotStratifyBy
plotVarPart-methodViolin plot of variance fractions
residuals-VarParFitList-methodResiduals from model fit
sortCols-methodSort variance partition statistics
subset.MArrayLM2-methodSubseting for MArrayLM2
toptable-methodtoptable for MArrayLMM_lmer
VarParCIList-classClass VarParCIList
VarParFitList-classClass VarParFitList
varParFrac-classClass varParFrac
varPartConfInfLinear mixed model confidence intervals
varPartDataSimulation dataset for examples
varPartDEdataSimulation dataset for dream example
varPartResults-classClass varPartResults
voomWithDreamWeightsTransform RNA-Seq Data Ready for Linear Mixed Modelling with...
variancePartition documentation built on Oct. 31, 2019, 3:19 a.m.