Hi All, I have a data frame where nearly 10K columns of data, where most of them have standard deviation( of all rows) as zero. I want to exclude all the columns from the data frame and proceed to further processing.
I tried like blow. *data <- read.csv("data.CSV", header=T) for(i in 2:ncol(data)) if(sd(data[,i])==0){ df[,i] <-NULL } * where I have the data columns from 2:ncol, but getting the error "Error in df[, i] <- NULL : object of type 'closure' is not subsettable" Can any one suggest the right method to accomplish this. ----- Sidda Business Analyst Lead Applied Materials Inc. -- View this message in context: http://r.789695.n4.nabble.com/Excluding-all-teh-columns-from-a-data-frame-if-the-standard-deviation-of-that-column-is-zero-0-tp4646310.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.