Re: [R] Homogeneity of regression slopes

;>> proposed by Michael and Clifford is a good one, but the solution assumes >>> that the standard deviation parameter is the same for all three models. >>> >>> You may want to consider the degree by which the standard deviation >>> estimates differ for the three

[R] Homogeneity of regression slopes

the predicted values at the ends of the 3 regression lines are significantly different... But I'm not sure how to do the Johnson-Neyman procedure in R, so I think testing for slope differences will suffice! Thanks to any who may be able to help! Doug Adams __

[R] aov - subjects nested within groups & crossed with questions

wledging? Does my aov syntax seem appropriate in the first place? Thanks everyone very much for any help you can give, Doug Adams question 1 question 2 question 3 question 4 group 1 subject 1 # # #

Re: [R] lmer, mcmcsamp, coda, HPDinterval

Ah, that did it. Thank you! - Doug Adams MStat Student University of Utah -- View this message in context: http://n4.nabble.com/lmer-mcmcsamp-coda-HPDinterval-tp1457803p1459380.html Sent from the R help mailing list archive at Nabble.com. __ R

[R] lmer, mcmcsamp, coda, HPDinterval

of my fixed effects: A6post <- mcmcsamp(A6mlm, 5) library(coda) HPDinterval(A6post) ..but I got this message: "no applicable method for 'HPDinterval' applied to an object of class "merMCMC"" Should I be coercing A6post to another type, or am I missing other steps al

Re: [R] Hierarchical Linear Model using lme4's lmer

u type >> >> lme(y~x, random=~1|subjetc) >> >> On lme4 library you type >> >> lmer(y~x+(1|subject)) >> >> You mixed them. >> >> At your disposal. > > Which is what I tell my wife when I am standing by our sink. > >>

[R] Hierarchical Linear Model using lme4's lmer

some students are registered as juniors & others as seniors within the same school.) So schools are random, division is fixed, and the student Score is the outcome variable. This is what I've tried: lmer(data=Age6m, Score ~ division + (1|school), random=~1 | school) Am I on the right track?