similar to: Two-factorial Huynh-Feldt-Test

Hi, I'm getting to grips with using R to perform repeat measures analysis of variance and was wondering is there a potted method to obtain Huynh and Feldt or other adjustments for sphericity violations? Thanks Dominic Dr Dominic J Barraclough Dept Neurobiology and Anatomy, University of Rochester, 601 Elmwood Av, Box 603, Rochester NY 14642 tel (716) 2753627 dominic_barraclough at

Hi, I'm using anova.mlm sphericity tests/corrections, and I'm getting different values than SAS. In order to be able to use these values for publications, I'd need to know more about the SAS bug that is mentioned in the Reference Manual. - What exactly causes the different values? - Is it just a slight difference, or can I expect significant differences in H-F/G-G epsilons and

Hi, I'm still trying to figure out that GLM procedure in SAS. Let's start with the simple example: PROC GLM; MODEL col1 col3 col5 col7 col9 col11 col13 col15 col17 col19 col21 col23 =/nouni; repeated roi 6, ord 2/nom mean; TITLE 'ABDERUS lat ACC 300-500'; That's the same setup that I had in my last email. I have three factors: facSubj,facCond and facRoi. I had this pretty

Hi, I'm still not quite there with my H-F (G-G) correction code. I have it working for the main effects, but I just can't figure out how to do it for the effect interactions. The thing I really don't know (and can't find anything about) is how to calculate the covariance matrix for the interaction between the two (or even n) main factors. I've looked through some books

Hi, I'm still not quite there with my H-F (G-G) correction code. I have it working for the main effects, but I just can't figure out how to do it for the effect interactions. The thing I really don't know (and can't find anything about) is how to calculate the covariance matrix for the interaction between the two (or even n) main factors. I've looked through some books

On Tue, Feb 10, 2009 at 8:27 AM, Villmow, Micah <Micah.Villmow at amd.com> wrote: > Bill, > Sorry if I wasn't clear enough. I wasn't referring to multiclass's that > define other classes, but with using patterns inside of a multiclass to > reduce redundant code. > For example: > multiclass IntSubtract<SDNode node> > { > def _i8 : Pat<(sub

Bill, Sorry if I wasn't clear enough. I wasn't referring to multiclass's that define other classes, but with using patterns inside of a multiclass to reduce redundant code. For example: multiclass IntSubtract<SDNode node> { def _i8 : Pat<(sub GPRI8:$src0, GPRI8:$src1), (ADD_i8 GPRI8:$src0, (NEGATE_i8 GPRI8:$src1))>; def _i32 : Pat<(sub

Hi There, I am trying to fit a logit model to some data in a CSV file in R. Here is my code: Prepared_Data = read.csv("Prepared_Data.csv", header=TRUE) Prepared_Data attach(Prepared_Data) lrfit<-glm(C3~A1*B2*D4*E5,family = binomial) anova(lrfit, test="Chisq") write.csv(anova(lrfit, test="Chisq"), file="CWModelA.csv") shell.exec("CWModelA.csv")

Here's the big RFC. A I've gone through and designed patterns for AVX, I quickly realized that the existing SSE pattern specification, while functional, is less than ideal in terms of maintenance. In particular, a number of nearly-identical patterns are specified all over for nearly-identical instructions. For example: let Constraints = "$src1 = $dst" in { multiclass