as.data.frame,varPartResults-method {variancePartition} | R Documentation

## Convert to data.frame

### Description

Convert varPartResults to data.frame

### Usage

    ## S4 method for signature 'varPartResults'
    as.data.frame(x, row.names = NULL,
      optional = FALSE, ...)

### Arguments

`x` | varPartResults
`row.names` | pass thru to generic
`optional` | pass thru to generic
`...` | other arguments.

### Value

data.frame

### Examples

    # 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)

[Package variancePartition version 1.10.4 Index]