Nothing
df2lmFit = function(df){
if(!"residuals"%in%colnames(df))
stop("no residuals, need to estimate main effects and update dataframe")
df = df[df$Type=="comb",]
df = df[!is.na(df$residuals),]
ta = table(df$Pair)
maxrep=max(ta)
m = matrix(NA_real_,
nrow = nlevels(as.factor(df$Pair)),
ncol = maxrep,
dimnames = list(levels(as.factor(df$Pair)),1:maxrep))
for (j in rownames(m))
m[j,1:length(df$residuals[which(df$Pair==j)])]=df$residuals[which(df$Pair==j)]
fit = lmFit(m)
fit
}
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