An R Companion to Linear Statistical Models

This companion manual was prepared to serve as an R supplement for textbooks on Linear Models. The manual provides computational and coding details on the use of R that textbooks do not. Topics covered include multiple linear regression, 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 code.