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 Rthat 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 serveas 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 withR.
- ISBN: 978-1-4398-7365-6
- Editorial: Chapman and Hall/CRC
- Encuadernacion: Cartoné
- Páginas: 372
- Fecha Publicación: 01/11/2011
- Nº Volúmenes: 1
- Idioma: Inglés