This is the third newly revised and extended edition of this successful book (that has already
been translated into three languages). Like the previous editions it is entirely based on the
programming language and environment R and is still thoroughly hands-on (with thousands of
lines of heavily annotated code for all computations and plots). However this edition has been
updated based on many workshops bootcamps taught by the author all over the world for the past
few years: This edition has been didactically streamlined with regard to its exposition it
adds two new chapters - one on mixed-effects modeling one on classification and regression
trees as well as random forests - plus it features new discussion of curvature orthogonal and
other contrasts interactions collinearity the effects and emmeans packages autocorrelation
runs some more bits on programming writing statistical functions and simulations and many
practical tips based on 10 years of teaching with these materials.
