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...ata.frame, an array of variables, and a prefix string. It performs a transformation on the variables (e.g. logs and scales), and creates new variables with the same names as the inputs, but with the prefix_string prepended. So, a sample call would look like: myfunction(mydata, myvariables, "norm_") And if myvariables contained variables named "var1", "var2", etc., the function would generate: mydata$norm_var1 mydata$norm_var2 Thanks, Moira [[alternative HTML version deleted]]

...very "Good Thing") So, on to the question... I'm scaling data based on groups. I have it working well in a nice loop. (This WORKS, but if someone has a faster/cleaner way, I'd be curious.) #group-wide normailzation groups <- unique(rawdata$group) group_names = grep('norm_',names(rawdata)) for(group in groups){ for(name in group_names){ rawdata[rawdata$code==group, name] <- c(scale(rawdata[rawdata$code==group, name])) } } My problem is that if the particular list of data I'm scoring is all 0, then scale returns NaN for all of them, s...