An R Companion to Linear Statistical Models

This work was prepared to serve as an R supplement for textbooks on Linear Statistical Models. It provides computational and coding details on the use of R that textbooks do not. Topics covered include simple and multiple linear regression models, models for one- and two-factor fixed-effects designs, covariance models, and models for randomized complete block designs. The text can serve as both a course supplement and a fairly detailed self-help resource. The development of "grass-roots" code alongside demonstrations of pre-packaged routines provides users with illustrations on how to develop their own programs with R.

• | Author: Christopher Hay-Jahans
• | Publisher: CRC Press
• | Publication Date: Oct 18, 2017
• | Number of Pages: 372 pages
• | Binding: Paperback or Softback
• | ISBN-10: 1138116033
• | ISBN-13: 9781138116030