The visualization represented by Hans Rosling’s TED talk was very impressive. FlowingData provides a tutorial on making bubble chart in R. I prefer ggplot2 for graphics.
1233 search results for "ggplot2"
The avalanche of publications mentioning GO
Gene Ontology is the de facto standard for annotation of gene products. It has been widely used in biological data mining, and I believe it will play more central role in the future. Publications mentioning GO was collected and deposited in GO ftp, and can be accessed (ftp://ftp.geneontology.org/go/doc/). Read More: 454 Words Totally
Analysis of retractions in PubMed
As so often happens these days, a brief post at FriendFeed got me thinking about data analysis. Entitled “So how many retractions are there every year, anyway?”, the post links to this article at Retraction Watch. It discusses ways to estimate the number of retractions and in particular, a recent article in the Journal of 
Sweave Tutorial 2: Batch Individual Personality Reports using R, Sweave, and LaTeX
This post documents an example of using Sweave to generate individualised personality reports based on responses to a personality test. Each report provides information on both the responses of the general sample and responses of the specific respond...
Sweave Tutorial 2: Batch Individual Personality Reports using R, Sweave, and LaTeX
This post documents an example of using Sweave to generate individualised personality reports based on responses to a personality test. Each report provides information on both the responses of the general sample and responses of the specific respond...
Benchmarking feature selection with Boruta and caret
Feature selection is the data mining process of selecting the variables from our data set that may have an impact on the outcome we are considering. For commercial data mining, which is often characterised by having too many variables for model building, this is an...
Benchmarking feature selection with Boruta and caret
Feature selection is the data mining process of selecting the variables from our data set that may have an impact on the outcome we are considering. For commercial data mining, which is often characterised by having too many variables for model building, this is an...
Is there a Market for Premium R Packages?
Nathan Yau, of the excellent FlowingData blog, recently asked on his Twitter stream: I wonder if there’s a market for premium R packages, like there is for say, @wordpress themes and plugins There are some great packages available for R, all of which are currently free. I think it would be great if authors like 
Competitive Data Science: An Update
A quick reminder that two competitions based around data analysis, both very suited to R, are currently underway. First, there's still plenty of time to enter the competition to predict popular R packages, announced by the The Dataists and hosted at Kaggle. According to organizer Drew Conway, the competition has already received 114 entries from 21 teams. But with...
Visualizing US House Results with a Seats-Votes curve
A few weeks ago I wrote about ways to compare major-party returns in US House elections. I experimented with several visualizations, none as useful as the seats-votes curve. A traditional seats-votes cure measures average party performance against individual US House results. Our simplified curve uses a density plot to measure major-party (Democratic, in this case)
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
