Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
On his recent tour to the Bay Area, Hadley Wickham have two interesting R-related talks, for which video has been made available by Google Tech Talks.
At the June Bay Area R User Group meeting, Hadley spoke on the future of interactive data visualization in R. Building on his experiences creating the ggplot2 package (which is still under development — he's working to improve its performance and to visualize massive data sets with the Revolution Analytics big-data objects, for example), he's also working on a series of packages to make it possible to write high-performance interactive graphics just using R code. In the video below, he gives examples of pointing-and-clicking to reveal data on maps, to interact with code profiles to optimize performance, and creating a series of linked charts (where, say, a data value highlighted on a scatterplot will also highlight the same value in a parallel coordinates plot). The plan is to have these new pacakges available by the end of the Summer.
< embed allowfullscreen="true" allowscriptaccess="always" height="273" src="https://www.youtube.com/v/iSXNfZESR5I?version=3&hl=en_US" type="application/x-shockwave-flash" width="450">
His second talk (a Google Tech Talk) was about why engineers should use a programming language (specifically, R) for analyzing data. It's a more general introduction to data analysis and the benefits of programming with data, and would be a great introductory video for anyone new to R.
< embed allowfullscreen="true" allowscriptaccess="always" height="273" src="https://www.youtube.com/v/TaxJwC_MP9Q?version=3&hl=en_US" type="application/x-shockwave-flash" width="450">
Hadley is also giving a two-day short course on Data Visualization and the Analysis of Financial Time Series in Houston in July (follow the link for details and registration info).
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.