search for: anova1

...nova), but using lmer I don't get the same results (variance component) than using random effects Anova. I am using a database of students, clustered on schools (there is not the same number of students by school). According to the ICC1 command, the interclass correlation is .44 > ICC1(anova1) [1] 0.4414491 However, I cannot get the same ICC from the lmer output: > anova2 <- lmer(math ~ 1 + (1|schoolid), data=nels88) > summary(anova2 <- lmer(math ~ 1 + (1|schoolid), data=nels88)) Linear mixed model fit by REML Formula: math ~ 1 + (1 | schoolid) Data: nels88 AIC...

Hello, I have problems interpreting the results of a Friedman test. It seems to me that the p-value resulting from a Friedman test and with it the "significance" has to be interpreted in another way than the p-value resulting from e.g. ANOVA? Let me describe the problem with some detail: I'm testing a lot of different hypotheses in my observer study and only for some the premises

...(mod1) a2<-anova(mod2) a3<-anova(mod3) a4<-anova(mod4) #Comment 2--SAME AS COMMENT 1 except applied to the anova tables. How do I make #...[R] add a5, a6...an as necessary? rb<-rbind(a1,a2,a3,a4) #Comment 3--again I can't automate this to make the addition of a's automated anova1<-rbind(rb[1,],rb[4,],rb[8,],rb[13,],rb[14,]) #Comment 4--the rb's follow a pattern of 1+3+4+5...+n variables #then I row bind these starting with 1 and rowbind one more after the last #...rb to include the bottom piece of the anova table that tells #...about residuals (how do I aoutomate t...

...6 21.02 12.616201 27.02 39 LpG -3.1127062 -1.28 -5.409113 -5.07 8.406529 23.93 8.815908 24.43 now I want to know, if there are significant differents in the variables OQ, GO, SK, RC depending on Tone. This I can do with an ANOVA , or?? But when I start aov in R I get the following message: anova1 <- aov(Tone ~ OQtil4*OQ0*GOtil4*GO0*SKrhsJ*SK0*RCrhsJ*RC0, data=gesamt) Warning message: "-" not meaningful for factors in: Ops.factor(y, z$residuals) What's wrong with my Data? Thanks for helping me Britta -- Britta.Lintfert at IMS.Uni-Stuttgart.de Institut f?r Maschinelle...

...Df Sum Sq Mean Sq F value Pr(>F) C 3 128.500 42.833 4.2131 0.1341 Residuals 3 30.500 10.167 Of course, I would be interested only in factor "C". I would then push these values to a hash of hashes (i.e, multi-dim array) that summarizes the results of all the ANOVAs. {Anova1, (F=4.21), (P=0.13)} etc'. I "dumped" a sample aov object, and my impression was that the F and P values for each effect are not hard coded, but constructed on the fly by the summary() function. Is there a script or function that already does what I am looking for? If not, my secon...

I've rolled up R-0.99.0.tgz a moment ago. You can get it from ftp://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or http://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or wait for it to be mirrored at a CRAN site near you within a day or two. There's also a version split in three (!) for floppies if you prefer that. The next release is to be 1.0.0 at the end of this month,

I've rolled up R-0.99.0.tgz a moment ago. You can get it from ftp://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or http://cvs.r-project.org/pub/CRAN/src/base/R-0.99.0.tgz or wait for it to be mirrored at a CRAN site near you within a day or two. There's also a version split in three (!) for floppies if you prefer that. The next release is to be 1.0.0 at the end of this month,