It's going to depend on how the data missing-ness is represented in the table.
If you have a csv like 1,2,3 1,,3 4,5,6 You automatically get an NA after using read.csv() -- this can be omitted with the na.omit() command if desired. If missingness is somehow encoded other than an empty spot, it may be a bit harder. Michael On Wed, Nov 16, 2011 at 4:26 PM, Mary Kindall <mary.kind...@gmail.com> wrote: > I am very sorry for multiple mails. > > Hi R users, > I try to read a data file (tab delimited format) in which some of the > entries in a particular field are missing. Is it possible to fill the > unavailable data with 'UnAvailable' string while performing read.table() > > Something like > df = read.table(DataFile, header=FALSE, fill_missing_entry = 'unAvailable') > > > Or remove the the complete row in which the missing entry appear. > > > thanks > > > > -- > ------------- > Mary Kindall > Yorktown Heights, NY > USA > > > > > -- > ------------- > Mary Kindall > Yorktown Heights, NY > USA > > [[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.
