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Download An R Companion to Linear Statistical Models by Christopher Hay-Jahans in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About An R Companion to Linear Statistical Models
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.
Detailed Information
| Author: | Christopher Hay-Jahans |
|---|---|
| Publication Year: | 2011 |
| ISBN: | 9781439873663 |
| Pages: | 366 |
| Language: | English |
| File Size: | 2.451 |
| Format: | |
| Price: | FREE |
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