rsqCalc {DGEobj.utils} | R Documentation |
Calculate R-squared for each gene fit
Description
Takes a Log2CPM numeric matrix and MArrayLM fit object from limma's lmFit() and calculates R-squared for each gene fit.
Usage
rsqCalc(normMatrix, fit)
Arguments
normMatrix |
A normalized log2cpm matrix |
fit |
A MArrayLM object from limma's lmFit() |
Value
A vector of R-squared values for each gene fit.
Examples
## Not run:
# NOTE: Requires the edgeR package
dgeObj <- readRDS(system.file("exampleObj.RDS", package = "DGEobj"))
log2cpm <- convertCounts(dgeObj$counts, unit = "cpm", log=TRUE, normalize = "tmm")
fitObject <- dgeObj$ReplicateGroupDesign_fit
rsq <- rsqCalc (log2cpm, fitObject)
## End(Not run)
[Package DGEobj.utils version 1.0.6 Index]