Here is a post with some information to control the layout of your graph produced by the ggplot library: http://rpubs.com/Lionel/6557 Enjoy!Filed under: R and Stat Tagged: ggplot, R

R news and tutorials contributed by (552) R bloggers

Another maintenance release of inline is now on CRAN and in already included in Debian. This release was triggered by a change in the development version of R which removed an argument to package.skeleton(). The complete NEWS entry is below.Chan...

How does overdispersion of infections affect the behavior of the multiple-infection model? I redefine the model to account for overdispersion, assuming the same overdispersion occurs in both age classes. The parameter varies inversely with the degree of overdispersion. Again, the classes are demographically identical, and infection affects mortality but not growth: \[\begin{aligned} \frac{dJ}{dt}...

by Joseph Rickert Quandl.com, the open source website for financial data, made rapid progress earlier this year in becoming an R friendly source for financial time series data. Tammer Kamel, Quandl’s founder introduced the site on Revolutions blog in late February as a “search engine” for numerical data and explained how Quandl’s “Q-bot” can take data from almost any...

It has taken a long time, but cran2deb4ubuntu has been updated for R 3.0.1. Over 1000 R packages are available as .deb files (with dependicies) for Ubutnu 13.04 (raring), 12.10 (quantal) and 12.04 (precise).These packages can be found at the c2d4u PPA. Instructions on how to install the PPA can be found on this...

Since tonight kicks off Game 1 of the Stanley Cup Finals, I thought it would be fun to do a very quick and dirty cluster analysis of the league based on regular season performance. Tonight, the Chicago Blackhawks square off against my hometown team, the Boston Bruins. Even though it was a lockout-shortened season, the

We typically start with the data matrix, a rectangular array of rows and columns. If we type its name on the R command line, it will show itself. But the data matrix is hard to read, even when there are not many rows or columns. The heat map is a visual alternative. All you need is the R function...

I recently entered kaggle titanic learning competition for fun and to see where my out of the box utilization of random forest would rank me (303 out of 5,882). It was interesting to see that much of the scoring differentiation came from score imputation, that is filling missing values based on other data. For example, we might have

Image by Jan Zander Our mantra here at Quandl is making data easy to find and easy to use. Following that goal we (and subsequently the community) have created packages that integrate Quandl’s API into a number of software platforms. Today we’ll take a look at R. R is a free statistical computing language created