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An R Companion to Linear Statistical Models [Repost]
![An R Companion to Linear Statistical Models [Repost]](https://pixhost.icu/avaxhome/f0/07/003007f0.jpeg)
An R Companion to Linear Statistical Models by Christopher Hay-Jahans
Chapman and Hall/CRC; 1 edition | October 19, 2011 | English | ISBN: 1439873658 | 372 pages | PDF | 2 MB
Chapman and Hall/CRC; 1 edition | October 19, 2011 | English | ISBN: 1439873658 | 372 pages | PDF | 2 MB
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.