[BioC] Reference on linear models

Katherine Lawler lawler at ebi.ac.uk
Wed Dec 6 16:03:46 CET 2006

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...



> 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.

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