Phil's suggestion worked like a charm. My NA's were counted in the frequency table.
Thanks for the help, all! On Thu, Sep 18, 2008 at 1:28 PM, Henrik Bengtsson <[EMAIL PROTECTED]>wrote: > What have you tried this far? Can't you parse them as missing values, > i.e. NAs? See ?read.csv and arguments '...', i.e. the arguments > '...' are passed to read.table() which takes argument 'na.strings' - a > character *vector* of strings that you want to be interpreted as NAs. > See ?read.table for more details. > > My $.02 > > Henrik > > On Thu, Sep 18, 2008 at 10:11 AM, Jason Thibodeau <[EMAIL PROTECTED]> > wrote: > > 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. > > > -- 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.
