>From the posting guide (linked below -- please read it): "*Questions about statistics:* The R mailing lists are primarily intended for questions and discussion about the R software. However, questions about statistical methodology are sometimes posted. If the question is well-asked and of interest to someone on the list, it *may* elicit an informative up-to-date answer. See also the Usenet groups sci.stat.consult (applied statistics and consulting) and sci.stat.math (mathematical stat and probability)."
and: "If the question relates to a *contributed package* , e.g., one downloaded from CRAN, try contacting the package maintainer first. You can also use find("functionname") and packageDescription("packagename") to find this information. *Only* send such questions to R-help or R-devel if you get no reply or need further assistance. This applies to both requests for help and to bug reports." So don't be surprised if you get no useful responses here. You *might* try stats.stackexchange.com for such statistics questions, but no guarantee there either. Cheers, Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sat, Nov 21, 2020 at 4:12 PM aliciablasit via R-help < r-help@r-project.org> wrote: > Dear R-help listers, > > I tried to use functions from MANOVA.RM package but without success. In my > case, I have several independent and dependent variables. Each subject > corresponds to a single combination of IV (because they are not real > subjects, but numerical models). For each of them, I have several repeated > measures, represented by a “time” column. I want to explain my DV with my > IV (so MANOVA seems appropriate) and consider the effect of several > observations at different time (so repeated measures). > > Here an example of my dataset: > > Subject > > Time > > IV1 > > IV2 > > DV1 > > DV2 > > s1 > > 1 > > 1 > > 1 > > 14.1 > > s1 > > 2 > > 1 > > 1 > > 14.2 > > … > > S2 > > 1 > > 1 > > 2 > > 13.4 > > S2 > > 2 > > 1 > > 2 > > … > > … > > S3 > > … > > I would like to apply a repeated measures MANOVA: multRM(cbind(DV1,DV2) ~ > IV1*IV2*time, data = data, subject = “subject”, within = “time”). > > However, due to my dataset nature, I always have only 1 observation for > every factor-level combination. Hence, I am wondering if repeated measures > MANOVA is theoretically applicable to my dataset or if another test is > recommended instead. How should I deal with it? > > Thanks in advance, > > abt > > Sent with [ProtonMail](https://protonmail.com) Secure Email. > [[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. > [[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.