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 markdown. The post is designed to be read along side the R Markdown source code, which is available as a gist on github.
Friday, May 18, 2012
Thursday, May 17, 2012
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 using R Markdown;
(3) highlights several code chunk options such as caching and controlling how input and output is displayed;
(4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and
(5) discusses the implications of R Markdown.
This post was produced with R Markdown. The source code is available here as a gist.
The post may be most useful if the source code and displayed post are viewed side by side.
In some instances, I include a copy of the R Markdown in the displayed HTML, but most of the time I assume you are reading the source and post side by side.
Thursday, May 3, 2012
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.