[R] Stat textbook recommendations?

[Greg Snow]

I like:

Applied Linear Statistical Models by Neter, Kutner, Nachtsheim, and Wasserman (McGraw Hill)

It is not specific to any stats package, but it gives a good mix of theory behind the routines and how to apply them and covers a good breadth of material.

A must have for statistics and R is:

Modern Applied Statistics with S by Venables and Ripley (Springer).  This gives specific examples and commands to use in S-plus/R along with more background information and theory than the R tutorials.

Once you have the theory down, a couple more books that help with the practical aspects of using R to do the analysis are:

A Handbook of Statistical Analyses Using R by Everitt and Hothorn (Chapman & Hall/CRC)
An R and S-PLUS Companion to Applied Regression by Fox (Sage)

There may be other good ones out there that I am not familiar enough with to recommend.

Hope this helps,

-- 
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.snow at imail.org
801.408.8111


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Monte Milanuk
> Sent: Friday, January 23, 2009 9:57 AM
> To: r-help at r-project.org
> Subject: [R] Stat textbook recommendations?
> 
> Hello,
> 
> I'm looking for a textbook that can explain some of the math behind
> the intro-to-intermediate stuff like ANOVA, multiple regression, non-
> parametric tests, etc.
> 
> A little background:  I took an intro stats course last year and
> would like to further my education.  Being as that was the highest
> (and only) stats class the local community college offers, it looks
> like I'm on my own from here.  I've been working through some of the
> online 'stats with R' tutorials as well as Dalgaard's ISWR.  Where
> I'm running into problems is the transition from Bluman's 'A Brief
> Introduction to Elementary Statistics' (covers up through paired t-
> tests, chi-squared/goodness-of-fit, simple linear regression &
> correlation, and just barely mentions ANOVA) with a TI-83+, to even
> books like ISWR... when they start getting into the things like one
> and two-way ANOVA, multiple regression, model selection, survival,
> etc. I start feeling like I have one hand tied behind my back - I
> just don't have enough theoretical exposure to really understand what
> techniques I would use when, relative to my own projects outside the
> book.
> 
> Several of the 'intro to stats using R' books and pdf tutorials
> mention that they are not really meant as a standalone statistics
> text book, but in addition to a traditional stats textbook (Verzani
> mentions Kitchen's book specifically).  So I guess what I'm looking
> for is any other recommendations on intro or intermediate textbooks
> that deal primarily with the math/theory behind the processes.  If
> they were oriented towards R that's be great, but otherwise I guess
> I'd be most interested in something relatively platform-agnostic -
> I've seen some books that were slanted heavily towards a particular
> software package (Minitab) that I cannot afford or justify for
> personal use.
> 
> TIA,
> 
> Monte
> 	[[alternative HTML version deleted]]
> 
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