variancePartition (version 1.2.5)

calcVarPart: Compute variance statistics

Description

Compute fraction of variation attributable to each variable in regression model. Also interpretable as the intra-class correlation after correcting for all other variables in the model.

Usage

calcVarPart(fit, adjust = NULL, adjustAll = FALSE, showWarnings = TRUE, ...)
"calcVarPart"(fit, adjust = NULL, adjustAll = FALSE, showWarnings = TRUE, ...)
"calcVarPart"(fit, adjust = NULL, adjustAll = FALSE, showWarnings = TRUE, ...)

Arguments

fit

model fit from lm() or lmer()

adjust

remove variation from specified variables from the denominator. This computes the adjusted ICC with respect to the specified variables

adjustAll

adjust for all variables. This computes the adjusted ICC with respect to all variables

showWarnings

show warnings about model fit (default TRUE)

...

additional arguments (not currently used)

Value

fraction of variance explained / ICC for each variable in the model

Examples

library(lme4)
data(varPartData)

# Linear mixed model
fit <- lmer( geneExpr[1,] ~ (1|Tissue) + Age, info)
calcVarPart( fit )

# Linear model
# Note that the two models produce slightly different results
# This is expected: they are different statistical estimates 
# of the same underlying value
fit <- lm( geneExpr[1,] ~ Tissue + Age, info)
calcVarPart( fit )