Re: [R] Loops

ed): > dim( p ) = c(25,4,3) > p2 = apply(p, c(2,3), sum) > p3 = t(apply(p2, 1, function(fa) 100-(100*abs(fa/sum(fa)-(1/3))) ) ) p3 now contains all your results except the one including all the data, which is trivial to compute. -- Richard D. Morey Assistan

[R] assigning to list element within target environment

# remove the unneeded variable rm("temp",envir=testEnv) But I figure there must be a more elegant way. Anyone have any ideas? Thanks, Richard -- Richard D. Morey Assistant Professor Psychometrics and Statistics Rijksuniversiteit Groningen / University of Groningen http://drsmo

[R] aov, lme, multcomp

me model to the data with all approaches, so that when I look at parameter estimates I know they are meaningful. Are the multiple comparisons I'll get out of lme and lmer meaningful with fully crossed factors, given that they are both "tuned" for nested factors? Thanks in