# [R] FW: Reading output of a GLMM run in R

John Kane jrkrideau at inbox.com
Sun Apr 13 14:22:01 CEST 2014

```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

> -----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
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> 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
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