pkgs <- c(
"tidyverse", "here", "scales", "glue", "broom",
"broom.mixed", "emmeans", "multcomp", "multcompView", "desplot",
"ggtext", "agridat", "agricolae", "FielDHub", "car",
"lme4", "lmerTest", "nlme", "glmmTMB", "pbkrtest",
"lmtest", "sandwich", "easystats", "olsrr"
)
install.packages(setdiff(pkgs, rownames(installed.packages())))Here you can find chapters that introduce basic aspects of linear models, ANOVA, estimated marginal means, post hoc Tests and some experimental designs. You should be familiar with the knowledge taught in the “R Basics” chapters.
NoteRequired R packages
The chapters in this section use the R packages below. Run this once to install any that are missing: