The question is, how is the missing data accounted for? Is this a CSV file where the missing data is left blank? If it is just separated by white space, how do you know that var1 is missing is var2 is there?
If it is the case that just the initial values are there, then you can use fill=TRUE on read.table which will supply NAs for the trailing values in uneven rows. You need to provide a reproducible script/data so that we have a better chance of answering your questions. On 7/8/07, sigalit mangut-leiba <[EMAIL PROTECTED]> wrote: > Hello all, > > I want to analyze data that looks like this: > > Id var1 var2 var3.. > > 1 0 1 0 > > 1 0 1 1 > > 2 > > 2 > > 2 > > 2 > > Not all id's have the same no. of observations. > > At the first stage I want to count how many people in the survey, how many > have 1 in var1, etc. > > How do I do that? > > Thank you, > > Sigalit. > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch 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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? ______________________________________________ R-help@stat.math.ethz.ch 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.
