Re: [R] Nested mixed effectts question

(once again with the list) Hi Caroline, This question is probably better suited to r-sig-mixed-models (https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models). Some things are hard to tell without better understanding your design (I am not an ecologist/relevant type of biologist), but I'll

Re: [R] How to extract coefficients from sequential (type 1), ANOVAs using lmer and lme

only > provide me coefficients associated with "marginal" ANOVAs. > > > > > On Tuesday, November 28, 2017 6:51 AM, Phillip Alday > <phillip.al...@mpi.nl> wrote: > > > Be careful when mixing lme4 and lmerTest together -- lmerTest extends > and cha

Re: [R] How to extract coefficients from sequential (type 1), ANOVAs using lmer and lme

(This time with the r-help in the recipients...) Be careful when mixing lme4 and lmerTest together -- lmerTest extends and changes the behavior of various lme4 functions. From the help page for lme4-anova (?lme4::anova.merMod) > ‘anova’: returns the sequential decomposition of the

Re: [R] Appropriate specification of random effects structure for EEG/ERP data: including Channels or not?

. http://dx.doi.org/10./psyp.12515 Best, Phillip > On 24 Sep 2015, at 22:42, Phillip Alday <phillip.al...@unisa.edu.au> wrote: > > There is actually a fair amount of ERP literature using mixed-effects > modelling, though you may have to branch out from the traditional > psych

Re: [R] Appropriate specification of random effects structure for EEG/ERP data: including Channels or not?

There is actually a fair amount of ERP literature using mixed-effects modelling, though you may have to branch out from the traditional psycholinguistics journals a bit (even just more "neurolinguistics" or language studies published in "psychology" would get you more!). But just in the