An R Companion to Linear Statistical Models

Taking advantage of both user-developed code and specialized functions, this second edition of An R Companion to Linear Statistical Models again targets two primary audiences: Those who are familiar with the introductory theory and applications of linear statistical models and who wish to learn how to use R in this area, or explore further ideas that might appear in this Companion; and those who are enrolled in an intermediate to advanced level course on linear statistical models for which R is the computational platform. This Companion includes accessible introductions to writing R code as well as making use of functions through relevant examples.These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates.Also included in this edition is a new part containing chapters that revisit the one-factor fixed-effects model from alternative points of view, and provide introductions to applyin