
R-project
XLConnect 0.2-4
R
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SVGs with R
The R-Podcast Episode 8: Visualization with ggplot2
I’m happy to present this jam-packed episode of the R-Podcast dedicated to using the ggplot2 package for visualization.I just returned from the useR! 2012 conference for developers and users of R.
integrating R with other systems
In my last blog, Big Data, R and SAP HANA: Analyze 200 Million Data Points and Later Visualize Using Google Maps , I analyzed historical airlines performance data set using R and SAP HANA and put the aggregated analysis on Google Maps. Undoubtedly, Map is a pretty exciting canvas to view and analyze big data sets.
Big Data, R and HANA: Analyze 200 Million Data Points and Later Visualize in HTML5 Using D3 – Part II
Mirai Solutions GmbH ( http://www.mirai-solutions.com ) is very pleased to announce the release of XLConnect 0.2-0 , which can be found at CRAN . As one of the updates, XLConnect has moved to the newest release of Apache POI: 3.8. Also, the lazy evaluation issues with S4 generics are now fixed: generic methods now fully expand the argument list in order to have the arguments immediately evaluated.
XLConnect 0.2-0
I have become quite a big fan of graphics that combine the features of traditional figures (e.g. bar charts, histograms, etc.) with tables.
Visualizing Likert Items
Example 9.16: Small multiples
A paper published this week in Science outlines a new statistic called the maximal information coefficient (MIC), which is able to equally describe the correlation between paired variables regardless of linear or nonlinear relationship. In other words, as Pearson's r gives a measure of the noise surrounding a linear regression, MIC should give similar scores to equally noisy relationships regardless of type. Read more »
Maximal Information Coefficient (MIC)
Here's a cool application of calendar heat maps : runner Andy used R to catalogue his daily running mileage over the last 2+ years:
A chart for marathoners
In yesterday's webinar , Revolution Analytics CTO David Champagne demonstrated how to integrate statistical graphics and analytic computations created using R software with a variety of third-party applications. In each case Revolution R Enterprise Server is running as a compute server to the client application, with R scripts launched on each user interaction via the RevoDeployR Web Services API .
See R integrated with QlikView, Jaspersoft, Excel, and mobile apps
Horizon Plots in Base Graphics
require ( RColorBrewer ) require ( quantmod ) require ( PerformanceAnalytics )A couple of days ago, I had posted a short Python script to convert numpy files into a simple binary format which R can read quickly.

