Tempting a use of let me google that for you.. Anyway, theres a package called Imputation. I myself used the zoo package. There are probably lots of others since its a real common problem.
They usually fill in places in you data that are designated as NA. I do not completely understand what you mean with detection limit. If you do not have NAs, but rather some kind of threshold, i'd suggest going over the data and filling any applicable values with NAs, then use the library of your choice. I find that kind of weird though, if you haven't detected much you haven't detected much. Its part of the data, why impute? On 11.08.2012, at 23:01, aynumazi wrote: > Hello, > > I'm trying to impute data below detection limit (with multiple detection > limits) > so i need just a method or a code for imputation and then extract the > complete dataset to do the analyses. > Is there any package which could do that simply as i'm a beginner in R > > Thank you > > > > -- > View this message in context: > http://r.789695.n4.nabble.com/Imputing-data-below-detection-limit-tp4640057.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. ______________________________________________ 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.
