resources

General Good Stuff

• The course text from the Intro Stats class, OpenIntro Statistics (the second edition, downloadable from that link).
• In the past I've used Collaborative Statistics by Illowsky and Dean as a secondary text. There might be occasional readings from this, or you might look here for an alternatve presentation of a topic you find tricky.
• Introduction to Probabability and Statistics Using R is another good resource. It's pitched at a higher level than Collaborative Stats and OpenIntro Stats and it's not complete, but we'll be using some sections and if it suits your style you can probably replace most of readings with material from this book. Another similar one is Verzani's Simple R.
• Some online stats tools (not R).
• ACCENT principles for evaluating a graph.

R

• The R Project Homepage from which you can download R and access the Introduction to R (pdf) in an online format.
• The in-built help system is good. To access the page about using "pie" for example, simply type "?pie" and hit return.
• Try R Code School seems to be a nice general introduction to using R. If you're a programmer already, you might prefer the youtube videos from Roger Peng for the Computing for Data Analysis Coursera course (if you're not already a programmer, these videos are not the place to start learning R).
• I've heard good things (but haven't looked at them myself) about R Twotorials, two minute videos that cover some specific thing you might want to do in R. Looking at the titles I think they're mostly more advanced than we'll need but you might find something useful.
• A sequence of online R tutorials by K. Black.
• The R Cookbook, a nice guide that takes an approach that I think is very much in keeping with the class, is (or will be soon) on the reserve shelf in the library.
• Googling specific topics can be very successful. Sites I've never gone to as a first step but are regularly very helpful and among my first choices to check out, other things being equal, when they show up in response to a query:
  • the overflow network, especially...
  • Stats Stackexchange (including answers to the question about good resources for learning R---check some out and report back!),
  • Quick-R,
  • more as I/you discover them.
• I haven't played with it much yet, but RSeek is a search engine designed to look for R-related material.
• R-bloggers is a blog aggregator. Lots of interesting posts come through; worth checking regularly if you get enthusiastic about R. Also a good place to search for what people have done with a particular topic/issue.

ggplot2

• A good collection of many of the standard graph types and how to create them with ggplot2.
• I'm not the only person to think that using ggplot2 in a first course is the best option.

session specific links

8 Sep

• Anscombe code: anscombe.r
• Chick Weight Problem: chickwts.csv (data) and chickwts.r (R code).
• Ice cream: chisq_icecream.r

attachments

name last modified size

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anscombe.r Sep 8 2015 8:14 am 1.24kB chickwts.csv Sep 8 2015 8:12 am 907B chickwts.r Sep 8 2015 8:12 am 1.74kB chisq_icecream.r Sep 8 2015 8:21 am 597B