Adding group-level predictors in GLMM using lme4

Sometime I happen to be wrong, this is one of these instance. The issue: a colleague measured individual plant growth and measured light irradiation received by each individual, the plants where in groups of 10 individuals and he measured soil parameters at the group-level. To analyze the effect of light on plant growth while controlling … Continue reading Adding group-level predictors in GLMM using lme4

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Interpreting random effects in linear mixed-effect models

Recently I had more and more trouble to find topics for stats-orientated posts, fortunately a recent question from a reader gave me the idea for this one. In this post I will explain how to interpret the random effects from linear mixed-effect models fitted with lmer (package lme4). For more informations on these models you … Continue reading Interpreting random effects in linear mixed-effect models

Plotting regression curves with confidence intervals for LM, GLM and GLMM in R

[Updated 22nd January 2017, corrected mistakes for getting the fixed effect estimates of factor variables that need to be averaged out] [Updated 14th July 2017, the function is now on github: https://github.com/Lionel68/Blog/tree/master/PlotFit any modifications to it will be posted there before updating the post. The function has 2 new functionalities: (i) taking into account offset … Continue reading Plotting regression curves with confidence intervals for LM, GLM and GLMM in R