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2006 Aug 08
3
Pairwise n for large correlation tables?
...ing other functions to use or ways to maket his speedier, would be much appreciated! pairwise.n <- function(df=stop("Must provide data frame!")) { if (!is.data.frame(df)) { df <- as.data.frame(df) } colNum <- ncol(df) result <- matrix(data=NA,nrow=colNum,ncol=ncolNum,dimnames=list(colnames(df),colnames(df))) for(i in 1:colNum) { for (j in i:colNum) { result[i,j] <- length(df[!is.na(df[i])&!is.na(df[j])])/colNum } } result } -- Adam D. I. Kramer University of Oregon