Over the years I have changed my learning process from reading thoroughly first before proceeding to reading minimally and then applying immediately. I very quickly see the gaps in my knowledge. This method is far more painful but seems to ...
So, I've been playing around with learning knitr, which is a Sweave-like R package for combining LaTeX and R code into one document. There's almost no learning curve if you already use Sweave, and I find a lot of knitr's design and usage to be a lot nicer.
I wasn't going to make a blog post or tutorial about...
StatET (an Eclipse plug-in that can handle, among other things, R) offers support for writing Sweave (.Rnw) documents. This is done via the external tool dialog, where one creates a new “device” that takes in a document and runs it over appropriate functions and programs. In this case, Sweave and LaTeX. This dialog can, however, 
Sweave is something of a gold standard in reproducible research. It creates a dynamic document, written in a mix of LaTeX and R code where the results of the analysis (numbers, figures, tables) are automatically generated from the code and inserted into the resulting pdf document, making them easy to update if the data or
I was writing comments on the blog post A proposal for a really fast statistics journal, and I realized the comment box was too small to write down my ideas. I like the proposal a lot, and I feel really bad about the current model of submitting and rev...
For the longest time I resisted customizing R for my particular environment. My philosophy has been that each R script for each separate analysis I do should be self contained such that I can rerun the script from top to bottom on any machine and get the same results. This being said, I have now
The Journal of Nature put out an interesting op-ed recently discussing the need to make source code available for scientific articles that require statistical computation to produce their results. http://www.nature.com/nature/journal/v482/n7386/ful...
If you are reading this vis-à-vis R-Bloggers, then you know how good R, LaTeX, and Sweave are for generating reports and/or conducting reproducible research. It has been particularly valuable for me in Institutional Research where there are many reports that I need to prepare on a regular basis (some monthly, some quarterly, some annually). However, one issue