An R Companion to Linear Statistical Models (Hardcover, New)

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.

General

Imprint:	Taylor & Francis
Country of origin:	United States
Release date:	October 2011
First published:	2012
Authors:	Christopher Hay-Jahans
Dimensions:	234 x 156 x 24mm (L x W x T)
Format:	Hardcover
Pages:	372
Edition:	New
ISBN-13:	978-1-4398-7365-6
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Promotions
LSN:	1-4398-7365-8
Barcode:	9781439873656

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!