It is fairly straightforward to set the margins of a graph in R by calling the par() function with the mar (for margin!) argument. For example, par(mar=c(5.1,4.1,4.1,2.1) sets the bottom, left, top and right margins respectively of the plot region in number of lines of text. Another way is by specifying the margins in inches
After the recent foray into stock analysis using quantmod, I thought it worthwhile to mention that the library can be used to analyze a wide variety of investments, including precious metals. It is also worthwhile to mention that there are other ...
Ever since I first looked at this NYT visualization by Amanda Cox, I’ve always wanted to reproduce this in R. This is a plot that stacks multiple time series onto one another, with the width of the river/ribbon/hourglass representing the strength at each time. The NYT article used box office revenue as the width of 
In previous posts I demonstrated R plots created using World Bank Data through their API. The following is a much nicer example of what is possible. Many thanks to Vincent Arel-Bundock for sharing his work to make the World Bank D...
Here's another great example of R being used to analyze sports data. Statistician and skier Joran Elias has started a project to analyze and visualize international cross country ski racing results, and he publishes his analysis at the blog Statistical Skier. All of the analyses are done using R (and for data, SQLite via the RSQLite package). As much...
We revisit the analysis for the...
We revisit the analysis for the...
In the previous post I created a chart but could not figure out to fit the legend in the chart area. Peter Carl pointed me to the layout command which partitions the display area and allowed the the legend to be included. Source code to produce the c...
(Written by Ian Fellows) Below is a link to the first of a weekly (or bi-weekly) screen-cast vlog of my progress building a GUI for the ggplot2 package. http://neolab.stat.ucla.edu/cranstats/gsoc_vlog1.mov comments and suggestions are more than welcome, and can e-mailed to me at: hefell@gmail.com
At AIPL, we've been posting Manhattan plots of the marker effects for each breed-trait combination with each official release of our genomic predictions. For example, consider the plot of lifetime net merit for Holsteins from the April, 2010 run: Thes...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
