Graphing data with a few outliers is challenging, and some solutions are better than others. Here is a comparison of the alternatives.

Update: new zip, correcting bug found by Steve McIntyre: if(!file.exists(HadSST2ncdf)) downloadHADSST2() if(!file.exists(HadSST2ncdf)) downloadHadSST2() issue pending with another line as well. Checking raster versions. I’ve also, added some code into “downloadHadSST2″ that corrects for the “NA” problem with HadSST. (currently commented out). There is an issue with “ncdf” handling CF standards, which has been addressed in

Although I use Excel all the time, and I strongly encourage my students to use it for performance analysis and CaP, I was forced to include a warranty disclaimer in my GCaP book because I discovered a serious numerical error while writing Appendix B. There, my intention was just to show that Excel gives essentially the same results...

In a two-part series at the Los Angeles R User Group, Ryan Rosario took a look at the many ways you can take the R language to the limits of high-performance computing. In Part I (see video at this link; slides and code also available), Ryan focuses on the various methods of parallel computing in R. There's some great...

For Part I, Parallelism in R, click here. Tuesday night I again had the opportunity to present on high performance computing in R, at the Los Angeles R Users’ Group. This was the second part of a two part series called “Taking R to the Limit: High Performance Computing in R.” Part II discussed ways to work with large datasets...

The fine folks at Statistics.com have a number of courses related to R coming up in the next few months, including what looks to be a very useful course in handling data with R from none other than R Core Team member Paul Murrell. The courses from Statistics.com are on-line, so you can participate on your own schedule and...