getting s-apply to skip columns with non-numeric data? I have a dataframe x of w columns.
Some columns are numeric, some are not. I wish to create a function to calculate the mean and standard deviation of each numeric column, and then bind the column mean and standard deviation to the bottom of the dataframe. e.g. tempmean <- apply(data.frame(x), 2, mean, na.rm = T) xnew <- rbind(x,tempmean) I am running into one small problem what is the best way to have sapply skip the non-numeric data and return NAs? ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.