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@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.
