On Aug 5, 2011, at 1:50 PM, Ken H wrote:
That's a good point Josh is correct,
Its the R Bible because its the size of the Bible and serves as a
very good
reference.
Some people apparently think so [assuming here that you are referring
to Crawley.] My experience is less favorable. When I tried to use it,
it often leaves me without a workable answer or had misleading advice
because of its loose use of terminology. It frequently generates
confusing questions to this list because of its reliance on attach().
I thought MASS was a better book to learn R from. Yes, I know it's
not supposed to be an introductory book, but it has enough to use it
as such when used in combination with the help pages. (Every(noob)ody
does use the help pages, right?)
I agree that it is definitely not a first blush kind of book. I
second the regression book, it is excellent.
Cryer and Chan Time Series Analysis with Applications in R is pretty
good if
you're into that kind of thing...
Did not know about the data manipulation or graphics books, I'll
definitely
be checking those out.
Thanks for the info,
Ken
On Fri, Aug 5, 2011 at 1:16 PM, Joshua Wiley
<jwiley.ps...@gmail.com> wrote:
On Fri, Aug 5, 2011 at 9:20 AM, Ken H <vicvoncas...@gmail.com> wrote:
[snip]
And that should be it, as far as relevant reading
Peter Daalgard's Introductory Statistics with R is very good if
you do
not
know other programming languages.
I would strongly second this. It is a very nice book. What book to
read depends a bit exactly what your goals are---data manipulation?
Statistics (and then what kind)? Programming? etc.
For statistics beyond Peter Dalgaard's book, I like John Fox's
Applied
Regression with Companion to Applied Regression (which uses R and is
also the 'car' package).
I have been pretty happy with Phil Spector's book Data Manipulation
with R.
For graphics in R I would suggest ggplot2 by Hadley Wickham or
lattice
by Deepayan Sarkar (they are both books and packages).
For programming I would look at S Programming by Venables & Ripley.
Crowleys R Book is the Bible as it were, and is very very good.
Electronic
copies are available.
The R Book is very large, but it has some problems in my opinion. It
uses some styles that are often okay, but can cause problems (e.g.,
using attach, using function names for data). I would turn elsewhere
first. All of the other books I recommended (except Data
Manipulation
with R) are written by people who also develop and maintain R Core or
substantial R packages (i.e., they are experts in what they are
talking about).
Cheers,
Josh
--
Joshua Wiley
Ph.D. Student, Health Psychology
Programmer Analyst II, ATS Statistical Consulting Group
University of California, Los Angeles
https://joshuawiley.com/
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