I like the mi package, or when it's too large I use the Amelia package.
evrim akar wrote: > > Dear R users, > > First of all, thank you for your help about goodness of fit tests. > > I have another set of data and i am sure it is incomplete. I searched for > incomplete data analysis with R but I could not find any suggestion, or > method. Lets say (totally hypothetical situation) from a distribution you > can generate a continuous random sample between the numbers 0 and 100. but > I > have data from 20 to 80 and the rest is missing. I suspect this data comes > from the distribution I mentioned. If I use tests like ks.test or > chi-square > to test if the data comes from this distribution it says NO because it > takes > my sample as whole sample. > > If there is any suggestion about the package I have to read, or function I > have to use or I can modify, I would be very glad. > > Thank you in advance. > > PS:I would like to prevent any misunderstanding, I am not asking for a > code. > Maybe, I could not find the right words to search and I would appreciate > any > help (name of the package or search key words or even if it is possible or > not...) > > [[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. > > -- View this message in context: http://www.nabble.com/incomplete-data-analysis-tp22161555p22164827.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.