as.data.frame.varPartResults | R Documentation |
Convert varPartResults to data.frame
## S3 method for class 'varPartResults'
as.data.frame(x, row.names = NULL, optional = FALSE, ...)
x |
varPartResults |
row.names |
pass thru to generic |
optional |
pass thru to generic |
... |
other arguments. |
data.frame
# load library
# library(variancePartition)
# load simulated data:
# geneExpr: matrix of gene expression values
# info: information/metadata about each sample
data(varPartData)
# Specify variables to consider
# Age is continuous so we model it as a fixed effect
# Individual and Tissue are both categorical, so we model them as random effects
form <- ~ Age + (1 | Individual) + (1 | Tissue)
# Fit model
varPart <- fitExtractVarPartModel(geneExpr[1:5, ], form, info)
# convert to matrix
as.data.frame(varPart)
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