You can run a test. Multiply all your data by a scalar, say 2. If this changes the result lme_mod$sigma by a factor of 2, then it is a std deviation. If it changes the result by a factor of 4, then it is a variance.
HTH, Eric On Sat, Dec 18, 2021 at 11:26 AM Courtney Van Den elzen <courtney.vandenel...@colorado.edu> wrote: > > Hi R-help, > > I am a researcher fitting linear mixed models using the package nlme. I am > wondering whether the sigma value that is outputted as part of the model > object is standard deviation or variance? for example, I might fit a model > > lme_mod <- nlme::lme(response ~ predictor1 + predictor2, random = > (~1|grouping1)) > > I am wondering whether lme_mod$sigma is actually a standard deviation or if > it's a variance. > > Thanks so much, > Courtney > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.
