An R Companion to Linear Statistical Models

1st Edition

Christopher Hay-Jahans

Chapman and Hall/CRC
Published October 18, 2017
Reference - 372 Pages - 97 B/W Illustrations
ISBN 9781138116030 - CAT# K35455

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Summary

Focusing on user-developed programming, An R Companion to Linear Statistical Models serves two audiences: those who are familiar with the theory and applications of linear statistical models and wish to learn or enhance their skills in R; and those who are enrolled in an R-based course on regression and analysis of variance. For those who have never used R, the book begins with a self-contained introduction to R that lays the foundation for later chapters.

This book includes extensive and carefully explained examples of how to write programs using the R programming language. These examples cover methods used for linear regression and designed experiments with up to two fixed-effects factors, including blocking variables and covariates. It also demonstrates applications of several pre-packaged functions for complex computational procedures.

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