John Kane <jrkrideau <at> inbox.com> writes: > > Can you resend the information in plain text? > It looks like you sent it in html format and it is very close to > completely unreadable. > > John Kane > Kingston ON Canada
You've also posted this question at CrossValidated: http://stats.stackexchange.com/questions/93601/ reading-the-output-from-a-glmm-run-in-r (broken URL to make Gmane happy). Cross-posting between StackOverflow forums and r mailing lists is not explicitly prohibited by the mailing list guidelines (since those guidelines predate StackOverflow), but it has a good chance of wasting answerers' time (because you get parallel answers in both venues). At least you should state in each place that you've cross-posted, with a link. As I commented on CrossValidated, you haven't given enough context (what R package or functions are you using??) to answer the question. You should consider reading http://glmm.wikidot.com/faq If you prefer the R mailing lists to CV you should probably post to [email protected] rather than here. > > > -----Original Message----- > > From: ruthy_ <at> hotmail.co.uk > > Sent: Sun, 13 Apr 2014 00:28:43 +0000 > > To: r-help <at> r-project.org > > Subject: [R] FW: Reading output of a GLMM run in R > > > > > > > > > > > > > > Hi, I am a complete novice and dummy when it comes to statistics so I > > apologise in advance... I have been asked to report the results of my > > GLMMs (I ran two) in a table. This table must state: effect, standard > > error, test statistic, and P value, for all fixed effects. Unfortunately > > I am struggling to read my output. The out put is as follows, if anyone > > would be kind enough to help I would be very grateful and will know for > > future reference which bit equates to what (also I have been told my > > degrees of freedom are different for both the tests, could someone > > explain why this is?). GLMM 1-run for predictors of step length. Response > > variable = step length. fixed effects = depth and direction threshold. > > random factor = individual Models: m2: step ~ (1 | ind) m1: step ~ Depth > > * threshold + (1 | ind) Df AIC BIC logLik deviance Chisq Chi Df > > Pr(>Chisq) m2 3 373235 373259 -186615 373229 m1 8 373225 373290 -186605 > > 373209 19.767 5 0.001382 ** --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 > > ?*? 0.05 ?.? 0.1 ? ? 1 GLMM 2 -run to investigate potential predictors of > > PDBA. response variables = depth and step length. fixed effect = > > direction threshold. random factor = Individual Models: m3: PDBA ~ Depth > > + (1 | ind) + thresholdepth m2: PDBA ~ step * threshold + Depth * > > threshold + (1 | ind) Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq) > > m3 6 -48205 -48157 24109 -48217 m2 11 -48430 -48341 24226 -48452 235.1 5 > > < 2.2e-16 *** --- Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 > > ? ? 1 Models: m4: PDBA ~ step + (1 | ind) + step:threshold m2: PDBA ~ > > step * threshold + Depth * threshold + (1 | ind) Df AIC BIC logLik > > deviance Chisq Chi Df Pr(>Chisq) m4 6 -48206 -48158 24109 -48218 m2 11 > > -48430 -48341 24226 -48452 233.81 5 < 2.2e-16 *** --- Signif. codes: 0 > > ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0.1 ? ? 1 > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help <at> r-project.org mailing list > > 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. > > ____________________________________________________________ > FREE ONLINE PHOTOSHARING - Share your photos online with your friends and family! > Visit http://www.inbox.com/photosharing to find out more! > > ______________________________________________ [email protected] mailing list 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.
