Hello Dagfinn,
I am teaching R for porgramming purposes to Geography bachelor students. In our course we use Norman Matloff's 'The art of R programming'. Both myself and the students (as far as I know) rate it very highly as it really is an easy read and best of all, it does not confuse the not so statistically inclined as it really focusses on software design rather than statistical scripting.

Hope that helps,

Tim

On 15/3/2012 14:13, Dagfinn Rime wrote:
Dear all,

I'm new to R and need to learn how to program R, and would appreciate
suggestions for e.g. two books in order to get going.

What type of books? Well, if I were to suggest books for a newcomer to
LaTeX I would say that "all" you need is Lamport's book and "The LaTeX
Companion" (2nd ed). Is there something similar for R? A not-too long
introductory book and one more comprehensive "reference"-like book?

My level?
* Statistics? I have a PhD in finance and know "applied statistics/econometrics"
* Programming? I currently do all my analysis via programming
("scripting") in SAS or Eviews.

The R-project page mention 115 books? I made notice of the following:
1. Paul Teetor. R Cookbook. O'Reilly, first edition, 2011
2. Rob Kabacoff. R in Action. Manning, 2010.
3. David Ruppert. Statistics and Data Analysis for Financial
Engineering. Use R! Springer, 2010
4. Alain F. Zuur, Elena N. Ieno, and Erik Meesters. A Beginner's Guide
to R. Use R. Springer, 2009

> From Amazon the following caught my attention:
1. R in a Nutshell (In a Nutshell (O'Reilly))
2. The R Book by Michael J. Crawley

I have probably missed some (many), and there are probably lots of
different views. But I would appreciate any guidance and views.

Thanks in advance,
Dagfinn Rime
Research department, Norges Bank
www.norges-bank.no/research/rime/

_______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-teaching

--
#####################################
Tim Appelhans
Department of Geography
Environmental Computer Sciences
Philipps Universität Marburg
Deutschhausstraße 12
35032 Marburg (Paketpost: 35037 Marburg)
Germany

Tel +49 (0) 6421 28-25957

_______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-teaching

Reply via email to