Hello, Try the following.
keep <- which(!names(data2) %in% names(data1)) data1[, keep] Hope this helps, Rui Barradas Em 13-10-2012 15:48, siddu479 escreveu:
Dear R-Users and experts, This is my first post in this forum. I have two csv files file1 and file2. file1(many rows and columns) is read into dataframe *data1* File2 is read into dataframe *data2* which have only one column of data which contains the column names that need to be removed from dataframe *data1*columns and update the *data1 *data frame. Example: data1 <-read.csv(file1.......,header=T) Sno,Data_1,Data_2,Data_3 1,2,3,4 data2<- read.csv(file2,......header=F) Data_2 Data_3 The output *data1.new* data frame should be like this Sno,Data_1 1,2 So I request the R code to accomplish this task. Regards Sidda -- View this message in context: http://r.789695.n4.nabble.com/Filtering-few-column-from-one-data-frame-based-on-another-data-frame-tp4646072.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.
______________________________________________ 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.
