Hi Mike, I tried to run my data in SPSS and it works fine without any problems, plug in my levels, plug in my covariate (since it is all within) and get my Mauchly Tests.
I tried to rearrange the data so it looks like this subj/treatment/day1/day2/day3 subject treatment day1 day2 day3 1 1 8 8 8 1 2 5 7 5 2 1 7 4 4 2 2 4 5 7 3 1 8 6 4 3 2 5 2 4 4 1 2 9 4 4 2 1 9 1 5 1 4 8 1 5 2 7 8 2 6 1 4 7 2 6 2 4 5 2 When I try mlmfit <- lm(Dataset~1), I get "invalid type (list) for variable 'Dataset" When I try mod <- lm(cbind(day1, day2, day3) ~ Treatment, data=Dataset) idata<- data.frame(factor(rep(c(Dataset$day1, Dataset$day2, Dataset$day3))), ordered(Dataset$Treatment)) Anova(mod, idata=idata, idesign=~Dataset$Treatment) I get: Terms in the intra-subject model matrix are not orthogonal. When I try is.matrix(Dataset) - I get no. My original mock Dataset (attached in txt) is below. Maybe I am not coding it right? I would hate to recode all my data for SPSS, since at the end I would need to show that Sphericity was not violated. Subj Trtmt Sessn Response 1 N 1 5 1 D 1 6 1 N 2 4 1 D 2 7 2 N 1 8 2 D 1 9 2 N 2 2 2 D 2 1 3 N 1 4 3 D 1 5 3 N 2 6 3 D 2 2 4 N 1 5 4 D 1 6 4 N 2 4 4 D 2 7 5 N 1 8 5 D 1 9 5 N 2 2 5 D 2 1 6 N 1 4 6 D 1 5 6 N 2 6 6 D 2 2 Sincerely, Sergios Charntikov (Sergey), MA Behavioral Neuropharmacology Lab Department of Psychology University of Nebraska-Lincoln Lincoln, NE 68588-0308 USA On Mon, Nov 9, 2009 at 5:29 PM, Mike Lawrence <mike.lawre...@dal.ca> wrote: > > No luck as in...? What error did you encounter? > > In your example data set, you only have 2 levels of each within-Ss > factor, in which case you shouldn't expect to obtain tests of > sphericity; as far as I understand it, sphericity necessarily holds > when for repeated measures with only 2 levels and tests are really > only possible for repeated measures with 3 or more levels. > > I think it's analogous to how you don't need to test homogeneity of > variance when performing a paired t-test; the test ends up > representing the pairs as single distribution of difference scores > with a single variance. > > Mike > > On Mon, Nov 9, 2009 at 5:30 PM, Sergios (Sergey) Charntikov > <sergios...@gmail.com> wrote: > > Tried EZanova, no luck with my particular dataset. > > > > > > Sincerely, > > > > Sergios Charntikov (Sergey), MA > > > > Behavioral Neuropharmacology Lab > > Department of Psychology > > University of Nebraska-Lincoln > > Lincoln, NE 68588-0308 USA > > > > > > > > > > On Mon, Nov 9, 2009 at 2:25 PM, Mike Lawrence <mike.lawre...@dal.ca> wrote: > >> > >> Have you tried ezANOVA from the ez pacakge? It attempts to provide a > >> simple user interface to car's ANOVA (and when that fails, aov). > >> > >> On Mon, Nov 9, 2009 at 1:44 PM, Sergios (Sergey) Charntikov > >> <sergios...@gmail.com> wrote: > >> > Hello everyone, > >> > > >> > I am trying to do within subjects repeated measures anova followed by > >> > the > >> > test of sphericity (sample dataset below). > >> > I am able to get either mixed model or linear model anova and TukeyHSD, > >> > but > >> > have no luck with Repeated-Measures Assuming Sphericity or Separate > >> > Sphericity Tests. > >> > I am trying to follow example from "car" package, but it seems that I am > >> > not > >> > getting something right. > >> > > >> >> Dataset$Sessn <- as.factor(Dataset$Sessn) > >> > > >> >> LinearModel.1 <- lm(Response ~ Sessn*Trtmt, data=Dataset) > >> > > >> >> summary(LinearModel.1) > >> > > >> > All, good so far, but I have problem understanding "idata=" and > >> > "idesign=" > >> > functions pertaining to my example. Session is my repeated measure > >> > (Sessn 1 > >> > and Sessn 2 = two sessions, in reality I have more) and it is already > >> > stacked. Any help or guidance on this matter. > >> > > >> > Thank you, my mock dataset is below. Each subject has two levels of > >> > treatment throughout four calendar days which are recoded to Session 1 > >> > and > >> > Session 2 in order to compare treatments by the first and subsequent > >> > days of > >> > exposure (Treatment x Session; my DV is Response; Session is repeated). > >> > > >> > Subj Trtmt Sessn Response 1 N 1 5 1 D 1 6 1 N 2 4 1 D 2 7 2 N 1 > >> > 8 > >> > 2 D 1 9 2 N 2 2 2 D 2 1 3 N 1 4 3 D 1 5 3 N 2 6 3 D 2 2 4 N 1 5 > >> > 4 D > >> > 1 6 4 N 2 4 4 D 2 7 5 N 1 8 5 D 1 9 5 N 2 2 5 D 2 1 6 N 1 4 6 D > >> > 1 5 > >> > 6 N 2 6 6 D 2 2 > >> > > >> > Sincerely, > >> > > >> > Sergios Charntikov (Sergey), MA > >> > > >> > Behavioral Neuropharmacology Lab > >> > Department of Psychology > >> > University of Nebraska-Lincoln > >> > Lincoln, NE 68588-0308 USA > >> > > >> > sergioschr-at-gmail-dot-com > >> > > >> > [[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. > >> > > >> > > >> > >> > >> > >> -- > >> Mike Lawrence > >> Graduate Student > >> Department of Psychology > >> Dalhousie University > >> > >> Looking to arrange a meeting? Check my public calendar: > >> http://tr.im/mikes_public_calendar > >> > >> ~ Certainty is folly... I think. ~ > > > > > > > > -- > Mike Lawrence > Graduate Student > Department of Psychology > Dalhousie University > > Looking to arrange a meeting? Check my public calendar: > http://tr.im/mikes_public_calendar > > ~ Certainty is folly... I think. ~
Subj Trtmt Sessn Response 1 N 1 5 1 D 1 6 1 N 2 4 1 D 2 7 2 N 1 8 2 D 1 9 2 N 2 2 2 D 2 1 3 N 1 4 3 D 1 5 3 N 2 6 3 D 2 2 4 N 1 5 4 D 1 6 4 N 2 4 4 D 2 7 5 N 1 8 5 D 1 9 5 N 2 2 5 D 2 1 6 N 1 4 6 D 1 5 6 N 2 6 6 D 2 2
______________________________________________ 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.
