### Name: arrayWeights
### Title: Array Quality Weights
### Aliases: arrayWeights arrayWeightsSimple
### Keywords: regression models

### ** Examples

library(sma)
# Subset of data from ApoAI case study in Limma User's Guide
data(MouseArray)
# Avoid non-positive intensities
RG <- backgroundCorrect(mouse.data, method="half")
MA <- normalizeWithinArrays(RG, mouse.setup)
MA <- normalizeBetweenArrays(MA, method="Aq")
targets <- data.frame(Cy3=I(rep("Pool",6)),Cy5=I(c("WT","WT","WT","KO","KO","KO")))
design <- modelMatrix(targets, ref="Pool")
arrayw <- arrayWeightsSimple(MA, design)
fit <- lmFit(MA, design, weights=arrayw)
fit2 <- contrasts.fit(fit, contrasts=c(-1,1))
fit2 <- eBayes(fit2)
# Use of array weights increases the significance of the top genes
topTable(fit2)