On 2/25/2008 8:59 AM, Angelo Passalacqua wrote: > I am aware of > > table(is.na(df$var)) > > but is there an efficient way of create a table that shows the number of > missing values in each variable of a data frame? > > Right now I am forced to create a new variable, varna<-is.na(df$var), for > each variable of the data frame, bind them to a new data frame and tabulate > it, but surely there is a simpler way? > > any help is greatly appreciated, > angelo
Are you looking for colSums(is.na(df)) or colMeans(is.na(df)) ? The is.na function can be applied to whole data frames. > [[alternative HTML version deleted]] > > ______________________________________________ > 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. -- Chuck Cleland, Ph.D. NDRI, Inc. 71 West 23rd Street, 8th floor New York, NY 10010 tel: (212) 845-4495 (Tu, Th) tel: (732) 512-0171 (M, W, F) fax: (917) 438-0894 ______________________________________________ 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.