(This article was first published on Things I tend to forget » R, and kindly contributed to R-bloggers)
Here is my presentation from last night’s Boston Predictive Analytics Meetup graciously hosted by Predictive Analytics World Boston.
The talk is meant to provide an overview of (some) of the different ways to get data into R, especially supplementary data sets to assist with your analysis.
All code and data files are available at github: http://bit.ly/pawdata (https://github.com/jeffreybreen/talk-201210-data-deluge)
The slides themselves are on slideshare: http://bit.ly/pawdatadeck (http://www.slideshare.net/jeffreybreen/tapping-the-data-deluge-with-r)
To leave a comment for the author, please follow the link and comment on his blog: Things I tend to forget » R.
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series,ecdf, trading) and more...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
