What does you data look like? You could use 'split' and then examine the data in each range to count the number missing. Would have to have some actual data to suggest a solution.
On Sun, Jan 25, 2009 at 8:30 PM, Shreyasee <shreyasee.prad...@gmail.com> wrote: > Hi, > > I have imported one dataset in R. > I want to calculate the percentage of missing values for each month (May > 2006 to March 2007) for each variable. > Just to begin with I tried the following code : > > *for(i in 1:length(dos)) > for(j in 1:length(patientinformation1) > if(dos[i]=="May-06" && patientinformation1[j]=="") > a <- j+1 > a* > > The above code was written to calculate the number of missing values for May > 2006, but I am not getting the correct results. > Can anybody help me? > > Thanks, > Shreyasee > > [[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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ 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.
