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difflabels
2004 May 14
1
help with memory greedy storage
...## emat: matrix, model: formular for lm, contr: optional contrasts
probe.fit <- function(emat, factors, model, contr=NULL)
{
rows <- rownames(emat)
genes <- unique(rows)
l <- length(genes)
### generate proper lables (names) for the anova p-values
difflabels <- attr(terms(model),"term.labels")
aov <- list() # anova p-values for factors + interactions
coef <- list() # lm coefficients
coefp <- list() # p-valuies for coefficients
rsq <- list() # R-squared of fit
fitted <- list() # fi...