Tis list is about R programming issues; statistical questons are generally OT. The r-sig-mixed-models list would be a much better place to post your queries.
Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Mar 22, 2018 at 8:43 AM, Cristiano Alessandro < cri.alessan...@gmail.com> wrote: > Hi all, > > I am fitting a linear mixed model with lme4 in R. The model has a single > factor (des_days) with 4 levels (-1,1,14,48), and I am using random > intercept and slopes. > > Fixed effects: data ~ des_days > Value Std.Error DF t-value p-value > (Intercept) 0.8274313 0.007937938 962 104.23757 0.0000 > des_days1 -0.0026322 0.007443294 962 -0.35363 0.7237 > des_days14 -0.0011319 0.006635512 962 -0.17058 0.8646 > des_days48 0.0112579 0.005452614 962 2.06469 0.0392 > > I can clearly use the previous results to compare the estimations of each > "des_day" to the intercept, using the provided t-statistics. Alternatively, > I could use post-hoc tests (z-statistics): > > > ph_conditional <- c("des_days1 = 0", > "des_days14 = 0", > "des_days48 = 0"); > > lev.ph <- glht(lev.lm, linfct = ph_conditional); > > summary(lev.ph) > > Simultaneous Tests for General Linear Hypotheses > > Fit: lme.formula(fixed = data ~ des_days, data = data_red_trf, random > = ~des_days | > ratID, method = "ML", na.action = na.omit, control = lCtr) > > Linear Hypotheses: > Estimate Std. Error z value Pr(>|z|) > des_days1 == 0 -0.002632 0.007428 -0.354 0.971 > des_days14 == 0 -0.001132 0.006622 -0.171 0.996 > des_days48 == 0 0.011258 0.005441 2.069 0.101 > (Adjusted p values reported -- single-step method) > > > The p-values of the coefficient estimates and those of the post-hoc tests > differ because the latter are adjusted with Bonferroni correction. I wonder > whether there is any form of correction in the coefficient estimated of the > LMM, and which p-values are more appropriate to use. > > Thanks > Cristiano > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/ > posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.