My data frame consists of character variables, factors, and proportions, something like
c1 <- c("A", "B", "C", "C") c2 <- factor(c(1, 1, 2, 2), labels = c("Y","N")) x <- c(0.5234, 0.6919, 0.2307, 0.1160) y <- c(0.9251, 0.7616, 0.3624, 0.4462) df <- data.frame(c1, c2, x, y) pct <- function(x) round(100*x, 1) I want to apply the pct function to only the numeric variables so that the proportions are computed to percentages, and retain all the columns: c1 c2 x1 x2 1 A Y 52.3 92.5 2 B Y 69.2 76.2 3 C N 23.1 36.2 4 C N 11.6 44.6 I've been approaching it with the ddply and colwise functions from the plyr package, but in that case each I need each row to be its own group and retain all columns. Am I on the right track? If not, what's the best way to do this? Thanks in advance, M. L. ______________________________________________ R-help@r-project.org 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.