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Introduction

Authors :
Andy Hector
Publication Year :
2021
Publisher :
Oxford University Press, 2021.

Abstract

This chapter sets out the aims of the book, the approach, what is covered in the book, and what is not. The chapter introduces the R and RStudio software packages. It also summarizes the changes made to the second edition of the book. The book starts by introducing several different variations of the basic linear-model analysis (analysis of variance, linear regression, analysis of covariance, etc.). The later part of the book covers generalized linear models (for data with non-normal distributions). The book ends by combining these two extensions into generalized linear mixed-effects models. To allow a learning-by-doing approach, the R code necessary to perform the basic analysis is embedded in the text along with the key output from R.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........15b76d4393249ea006db94dc7e6e88f9
Full Text :
https://doi.org/10.1093/oso/9780198798170.003.0001