Hi all, I can't figure out how to compute Wilks Lambda in a one way repeated measure design. My matrix looks like:> t2.mBlank ECR ENC UEA UED 1 -0.15 0.14 0.16 0.09 0.14 2 0.30 0.08 0.14 0.14 0.14 [...] where each row is a case and the columns are levels of one factor (named trial):> t2.fit <- manova(t2.m ~ 1) > summary(t2.fit, intercept=T, test="Wilks")Df Wilks approx F num Df den Df Pr(>F) (Intercept) 1 0.26869 1.63302 5 3 0.3642 Residuals 7 ist this correct? I ask because SPSS gives me a different result: Effect: Trial Wilks: 0.392 F: 1.554 Df: 4 error Df: 4 Pr: 0.340 Thanks for any hints, Sven -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._

Sven Garbade <garbade at psy.uni-muenchen.de> writes:> Hi all, > > I can't figure out how to compute Wilks Lambda in a one way repeated > measure design. My matrix looks like: > > > t2.m > Blank ECR ENC UEA UED > 1 -0.15 0.14 0.16 0.09 0.14 > 2 0.30 0.08 0.14 0.14 0.14 > [...] > > where each row is a case and the columns are levels of one factor (named > trial): > > > t2.fit <- manova(t2.m ~ 1) > > summary(t2.fit, intercept=T, test="Wilks") > Df Wilks approx F num Df den Df Pr(>F) > (Intercept) 1 0.26869 1.63302 5 3 0.3642 > Residuals 7 > > ist this correct? I ask because SPSS gives me a different result: > > Effect: Trial > Wilks: 0.392 > F: 1.554 > Df: 4 > error Df: 4 > Pr: 0.340 > > Thanks for any hints, SvenHmm. The ways of SPSS are sometimes mysterious, but the Df suggest that you're testing that the 5 variables all have mean zero, whereas SPSS might be testing whether they have the *same* mean. You can check that by looking at t2.m2 <- t2.m[,-1] - t2.m[,1] t2.fit <- manova(t2.m ~ 1) -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._