People have been telling me for a while that the latest version of RStudio, the IDE for R, is a great way to generate reports. I finally got around to trying it out and for once, the hype is justified. Start with this excellent tutorial from Jeremy Anglim. Briefly: the process is not so different 
One of the possible barriers to widespread adoption of open notebook science is knowing where to start. Video reports of lab experiments hosted on Youtube can be easily embedded in a hosted WordPress blog; a MediaWiki wiki can be used to provide one page per experiment, with change tracking/history on each page and a shadow 
Here's a quick demo of creating a map with an inset within it using ggplot. The inset is achieved using the gridExtra package. Install libraries, set directory, read file setwd("/Users/ScottMac/Dropbox/CANPOLIN_networks_ms/data") # change ...
People use the R language every day to create the elements of reports: tables, charts, analyses, and forecasts. But assembling all of that information into a print-ready document laid out with text can a hassle. You can cut-and-paste all of the elements into Word, but then what do you do when the data file gets updated at the last...
RStudio’s mission from the beginning has been to create powerful tools that support the practices and techniques required for creating trustworthy, high quality analysis. For many years Hadley Wickham has been teaching and working on his own set of tools for R with many of the same core goals. We’ve been collaborating quite a bit 
Reached mid-semester point, with quite a few new lectures to prepare. Nothing extremely complicated but, as always, the tricky part is finding a way to make it meaningful and memorable. Sometimes, and this is one of those times, I sound … Continue reading →
Why trust some supposed laws of statistical sampling and convergence when you can just test them yourself? If you have a computer with R installed (also recommended: Rstudio) then you can stop dithering about whether these n=1000 studies cited in the n...
For those of you who teach, or are interested in seeing an illustrated series of analyses, there is a new compendium of files to help describe how to fit models for the extended case studies in the Second Edition of the Statistical Sleuth: A Course in...
R language has numerous IDEs – RStudio, Vim plugin, Eclipse plugin. RStudio really shines for R language, nevertheless Vim plugin might be well adapted for R if you are Vim guru. Eclipse? Who needs such behemoth? Turns out a student in Ljubljana badly needs it. Most of the time I use remote server for R
This week we have a guest blog post by Neil Kelley Last week, I stumbled on Vijay’s blog post demonstrating his new package rvertnet. Although I am a paleontologist, some of my research involves anatomical comparison between extinct species and extant relatives or ecological analogs, so I have some experience using VertNet to track down 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
