search for: lmer_0028_0029_003f

First off, Marc Schwartz posted this link earlier today, read it. http://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-are-p_002dvalues-not-di splayed-when-using-lmer_0028_0029_003f Second, your email is not really descriptive enough. I have no idea what OR is, so I have no reaction. Third, you're comparing estimates from different methods of estimation. lmer will give standard errors that account for the correlation of individuals within similar units whereas the SPSS...

I'm investigating a number of dependent variables using mixed models, e.g. data.lmer45 = lmer(ampStopB ~ (type + stress + MorD)^3 + (1|speaker) + (1|word), data=data) The p-values for some of the 2-way and 3-way interactions are significant at a 0.05 level and I have been trying to find out how to understand the exact nature of the interactions. Does anyone know if it is possible to run

Hello People of R, Is there any way that I can get R to function properly using Vista. I get very strange output using lmer, as in no p-values. Is there ANY way I can fix this. Thank you for your time, John Townsend-Mehler PhD Candidate Department of Zoology Michigan State University

When I do lmer models I only get Estimate, Standard Error and t value in the output for the fixed effects. Is there a way I get degrees of freedom and p values as well? I'm a very new to R, so sorry if this a stupid question. Thank you - Mike Mike Ford Centre for Speech and Language Department of Experimental Psychology Downing Street Cambridge CB2 3EB Tel: +44 (0) 1223 766559 Fax: +44

Hi, I have a modelo like this: Yvar <- c(0, 0, 0, 0, 1, 0, 0, 0, 1, 2, 1, 1, 2, 3, 6, 6, 3, 3, 4) TIME <- 4:22 ID <- rep("PlotA",19) m <- lmer(Yvar~TIME+(TIME|ID),family=poisson) anova(m) summary(m) How to get the p-value for this case? Thanks Ronaldo -- Just because you're paranoid doesn't mean they AREN'T after you. -- > Prof. Ronaldo Reis J?nior |

...gument. See also ?anova?. So lme4-anova will give you sequential tests; note, however, that lme4 won't calculate the denominator degrees of freedom for you and thus won't give p-values. See the FAQ (https://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-are-p_002dvalues-not-displayed-when-using-lmer_0028_0029_003f) >From the help page for lmerTest-anova (?lmerTest::anova.merModLmerTest): > Usage: > > ## S4 method for signature 'merModLmerTest' > anova(object, ... , ddf="Satterthwaite", > type=3) > > Arguments: > ... > type: type of...

...> > So lme4-anova will give you sequential tests; note, however, that lme4 > won't calculate the denominator degrees of freedom for you and thus > won't give p-values. See the FAQ > (https://cran.r-project.org/doc/FAQ/R-FAQ.html#Why-are-p_002dvalues-not-displayed-when-using-lmer_0028_0029_003f) > > From the help page for lmerTest-anova (?lmerTest::anova.merModLmerTest): >> Usage: >> >> ## S4 method for signature 'merModLmerTest' >> anova(object, ... , ddf="Satterthwaite", >> type=3) >> >> Arguments: &g...

Dear R users I have built several glmm models using glmmPQL in the following structure: m1<-glmmPQL(dev~env*har*treat+dens, random = ~1|pop/rep, family = Gamma) (full script below, data attached) I have tried all the methods I can find to obtain some sort of model fit score or to compare between models using following the deletion of terms (i.e. AIC, logLik, anova.lme(m1,m2)), but I