There’s been lots of excitement about the new R Markdown feature introduced as part of knitr 0.5 and RStudio 0.96. People see R Markdown as both a simpler way to do reproducible research and as a great way to publish to the web from R. Jeromy Anglim has a nice write up on getting started with 
As a quick dprint experiment, I thought I would try to do a quarterly return table that might potentially fit in knitR Performance Report 3 (really with knitr) and dprint. Although I do not think I will use it in the final report, I do think it i...
please see knitr Performance Report–Attempt 3, knitr Performance Report-Attempt 2 and knitr Performance Report-Attempt 1 alstated’s asked a very good question in his comment on knitr Performance Report–Attempt 3, and I’m not sure I could have a...
please see knitr Performance Report-Attempt 2 and knitr Performance Report-Attempt 1 Since the time of my last reporting post, RStudio, knitr, and Sweave have worked extremely hard to make document creation easier by becoming even more streamlined and ...
In this post I will try to add an important parts in the sensory profiling model I have been building. This concerns the question: 'Are all panelists equally reproducible?'. Obviously the answer is no, some are better than others. From this observation...
There has been some interest in the recent release of RStudio 0.96 and especially the ability to use combine its knitr Markdown functionality with Pandoc to integrate R and a variety of different documents types. I just wanted to add two quick things ...
New events CambR (Cambridge UK R user group) 2012 May 29 6:30 PM for 7:00 PM start. Pat Burns “Inferno-ish R” Abstract: While R is wonderful, it is not uniformly wonderful. We highlight a few things generally found to be confusing, and outline the forces that have driven such imperfections. Markus Gesmann “Interactive charts with … Continue reading...
This is a quick set of analyses of the California Test Score dataset. The post was produced using R Markdown in RStudio 0.96. The main purpose of this post is to provide a case study of using R Markdown to prepare a quick reproducible report. It provides examples of using plots, output, in-line R code, and...
Over the last few weeks I was trying to optimise my workflow using markdow in combination with knitr and pandoc. Knitr is a grea new package by Yihui, expanding R’s capabilities for reproducible research. I will illustrate my work flow … Continue reading →
This post examines the features of R Markdown using knitr in Rstudio 0.96. This combination of tools provides an exciting improvement in usability for reproducible analysis. Specifically, this post (1) discusses getting started with R Markdown and knitr in Rstudio 0.96; (2) provides a basic example of producing console output and plots...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
