- Methods I on youtube
-
Hector, A (2015) The new statistics with R – an introduction for biologists. Oxford.
- Course Schedule & Other Info
R Resources
- swirl – learn R
- Stack Overflow – THE place to search for already-solved detailed code and stats puzzles. Notice the search box. Other sites (Nabble, Grokbase) seem to mirror this.
- Getting Help with R – from the source (the R project), including hints on using help function in R
- R-bloggers – a compendium of ~750 bloggers – use the search bar
- Quick-R – helpful hints and examples, wide-ranging
- CRAN Task Views – lists of many packages organized by subject
- Getting Help with R @RStudio Support – a list of good resources
- RStudio Cheat Sheets – very handy, condensed code help
- GGPlot2 extensions – ways to turn your ggplot into eye candy
- R Graph Gallery – nice selection of plots with code to make them
Other Stuff
- Cooked data leads to an ended career
- Points of Significance series, Nature Methods
- Silberzahn et al. (2018) – 29 stats teams analyzed data 29 ways. Abstract: there’s more than one way to crunch a data set
- Kenneth Burnham’s web page on model selection issues
- Burnham & Anderson (2014) – on 20th century p values vs. 21st century model selection
- Six keys to model selection