Monthly Archives: March 2011

Comparing two-dimensional data sets in R; take II

March 10, 2011
By
Comparing two-dimensional data sets in R; take II

David commented on yesterday's post and suggested to put the continuous fitted distribution in the background and the discrete, empirical distribution in the foreground. This looks quite nice, although there's a slight optical illusion that makes the c...

Read more »

Beeswarm Boxplot (and plotting it with R)

March 10, 2011
By
Beeswarm Boxplot (and plotting it with R)

(The image above is called a “Beeswarm Boxplot” , the code for producing this image is provided at the end of this post) The above plot is implemented under different names in different softwares. This “Scatter Dot Beeswarm Box Violin – plot” (in the lack of an agreed upon term) is a one-dimensional scatter plot

Read more »

R: Drop factor levels in a dataset

March 9, 2011
By

R has factors, which are very cool (and somewhat analogous to labeled levels in Stata). Unfortunately, the factor list sticks around even if you remove some data such that no examples of a particular level still exist# Create some fake datax levels(x)x levels(x) # still the same levelstable(x) # even though one level has 0 entries!The solution is...

Read more »

Howling Winds and Stochastic Tones

March 9, 2011
By
Howling Winds and Stochastic Tones

My greatest pleasures in mathematics come from observing--and here, listening to--the interplay of simple and complex. With a few axioms and definitions you can create surprising worlds, and in what seems like a mess you can find beautiful regularities. It's damn sexy, frankly. Here, I use a simple recursive equation to directly generate my sounds

Read more »

The R-Files: Call for Nominations

March 9, 2011
By

We run an occasional series here on Revolutions called The R-Files, in which we profile members of the R community. Our intention with this series is to call out noteworthy work being done for open-source R and popular CRAN packages, and shine a light on some of the noteworthy individuals that make up what is now a broad community...

Read more »

Special issue of TOMACS

March 9, 2011
By
Special issue of TOMACS

TOMACS (ACM Transactions on Modeling and Computer Simulation) is launching a call for paper submission. The special topic is Monte Carlo Methods in Statistics and Arnaud Doucet and myself are the special issue editors. Here are the details.: Over the last two decades Monte Carlo methods have attracted much attention from statisticians as they provide

Read more »

Tips on installing R extension for Rapidminer on Mac OS X

March 9, 2011
By
Tips on installing R extension for Rapidminer on Mac OS X

Rapidminer is a cool toy to play with machine-learning/data-mining algorithms and it can interface with R. However, it was a bit problematic for me to get the R extension working properly on Mac OS X Leopard for R 2.11. Here is what works for me at the...

Read more »

Tips on installing R extension for Rapidminer on Mac OS X

March 9, 2011
By
Tips on installing R extension for Rapidminer on Mac OS X

Rapidminer is a cool toy to play with machine-learning/data-mining algorithms and it can interface with R. However, it was a bit problematic for me to get the R extension working properly on Mac OS X Leopard for R 2.11. Here is what works for me at the...

Read more »

In case you missed it: February Roundup

March 9, 2011
By

In case you missed them, here are some articles from February of particular interest to R users. Revolution R Enterprise 4.2 is now available to subscribers, and for free download to academics. A brief report from the Strata: Working with Data conference, and a comprehensive review from Ted Leung. A profile of prolific R contributor, Dirk Eddelbuettel. A list...

Read more »

Comparing two-dimensional data sets in R

March 9, 2011
By
Comparing two-dimensional data sets in R

I wanted to fit a continuous function to a discrete 2D distribution in R. I managed to do this by using nls, and wanted to display the data. I discovered a nice way to compare the actual data and the fit using ggplot2, where the background is the real ...

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)