[BioC] Reference on linear models

[Katherine Lawler]

For a gentle but thorough introduction, maybe try Crawley's 'Statistics: an
introduction using R' (2005) - it's aimed at non-mathematicians and
non-statisticians, and includes a chapter on contrasts. Or scan its
'further reading' list for the more advanced references...

http://www.amazon.co.uk/Statistics-Introduction-Michael-J-Crawley/dp/0470022981

Katherine

> From: Gordon Smyth <smyth at wehi.EDU.AU>
> Subject: [BioC] Reference on linear models [was LIMMA makeContrasts
> 	question]
> To: "J.delasHeras at ed.ac.uk" <J.delasHeras at ed.ac.uk>
>
> The introduction by Glantz and Slinker:
> http://www.amazon.com/Primer-Applied-Regression-Analysis-Variance/dp/0070234078
>
> might be useful. Although the emphasis is on regression with
> continuous covariates, it includes material on linear models with
categorical predictors.