On Thu, 19 Jan 2012, C W wrote:
I agree, there are many nice packages, but what if the package changes in a few years? I would have no idea what is going on! I've heard from predecessor in the industry who emphasize the learning, not just plug and chug.
I really want to learn the material and understand it, above all, it is interesting.
You'll learn the underlying theory from these books; the R code is the chosen medium for examples that illustrate the theory. In the F/OSS world when packages are released in new versions they are either backwards compatible (to prevent breaking existing applications) or they provide plenty of notice of incompatibility. You can also read the source to see how it works and run diff on the sources to pick up diffenrences.
I am looking more towards Bayesian statistics or Bayesian inference. I am in statistics graduate school, though not my field, the biology application could help in the understand I suppose?
If you're a mathematical statistician the biological/ecological examples may or may not be of value to you. It all depends on what you plan to do with your degree. Rich ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
