Try length(na.omit(<the particular data column>)) Here's an example:
data <- runif(100,0,10) data[runif(20,0,100)] <- NA file.contents <- matrix(data, ncol = 5, byrow = TRUE) for (i in 1:5) { print (length(na.omit(file.contents[,i]))) } -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Jason Thibodeau Sent: Thursday, September 18, 2008 10:12 AM To: r-help@r-project.org Subject: [R] detecting null values in a CSV file Hello all, I have a CSV file, that is 2411 columns wide. There are certain instances in teh file, where null values are located. That is: two commas together, without anything in the middle. In a certain section, the only possible values are NULL, 0,1,and 2. I need to be able to detect these NULL's and be able to have them counted. For example, in a frequency table. How can I accomplish this? Thanks in advance for the help. -- Jason Thibodeau [[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. ______________________________________________ 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.