This post presents the video of a talk that I presented in July 2012 at Melbourne R Users on using knitr, R Markdown, and R Studio to perform reproducible analysis. I also provide links to a github repository where the R markdown examples can be examin...
Blog Archives
Converting Sweave LaTeX to knitr LaTeX: A case study
The following post documents the steps I needed to take in order to convert a project using Sweave LaTeX into one using knitr LaTeX. Additional Resources It is fairly straightforward to convert a document from Sweave LaTeX to knitr LaTeX. Yihui Xie on...
How to Convert Sweave LaTeX to knitr R Markdown: Winter Olympic Medals Example
The following post shows how to manually convert a Sweave LaTeX document into a knitr R Markdown document. The post (1) reviews many of the required changes; (2) provides an example of a document converted to R Markdown format based on an analysis of Winter Olympic Medal data up to and including 2006; and (3) discusses the pros...
Example Reproducible Report using R Markdown: Analysis of California Schools Test Data
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...
Getting Started with R Markdown, knitr, and Rstudio 0.96
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...
How to plot three categorical variables and one continuous variable using ggplot2
This post shows how to produce a plot involving three categorical variables and one continuous variable using ggplot2 in R. The following code is also available as a gist on github. 1. Create Data First, let's load ggplot2 and create some data to work...
Getting Started with JAGS, rjags, and Bayesian Modelling
This post provides links to various resources on getting started with Bayesian modelling using JAGS and R. It discusses: (1) what is JAGS; (2) why you might want to perform Bayesian modelling using JAGS; (3) how to install JAGS; (4) where to find furt...
Correlation Resources: SPSS, R, Causality, Interpretation, and APA Style Reporting
This post provides links to a range of resources related to the use and interpretation of correlations. I wanted to provide a page with links to a number of additional resources that would be useful both for those of my students who might be keen to le...
Guide to Getting Started with R: 2011 Update
In mid-2009, I wrote a post on getting started with R. A lot has happened in the world of R over the last two years. New books, videos, online documentation, blogs and other resources have emerged. New community structures have emerged. As such I'v...
Guide to Getting Started with R: 2011 Update
In mid-2009, I wrote a post on getting started with R. A lot has happened in the world of R over the last two years. New books, videos, online documentation, blogs and other resources have emerged. New community structures have emerged. As such I've gi...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
