One R Tip A Day. R Enthusiasts | R Consulting and Training. It's crantastic! CRANberries. Package rms updated to version 4.2-0 with previous version 4.1-3 dated 2014-03-02 Title: Regression Modeling Strategies Description: Regression modeling, testing, estimation, validation, graphics, prediction, and typesetting by storing enhanced model design attributes in the fit. rms is a collection of functions that assist with and streamline modeling. Diff between rms versions 4.1-3 dated 2014-03-02 and 4.2-0 dated 2014-04-13 More information about rms at CRAN Permanent link. Romain Francois, Professional R Enthusiast. Sunday, March 24 2013 Moving By romain francois on Sunday, March 24 2013, 16:52 This blog is moving to blog.r-enthusiasts.com.
The new one is powered by wordpress and gets a subdomain of r-enthusiasts.com. See you there no trackback Monday, February 18 2013 Improving the graph gallery By romain francois on Monday, February 18 2013, 08:37 I'm trying to make improvements to the R Graph Gallery, I'm looking for suggestions from users of the website. I've started a question on the website's facebook page.
No trackback Monday, February 4 2013 bibtex 0.3-5 By romain francois on Monday, February 4 2013, 11:59 - bibtex The version 0.3-5 of the bibtex package is on CRAN. No trackback Monday, November 5 2012 OOP with Rcpp modules By romain francois on Monday, November 5 2012, 16:24 - Rcpp The purpose of Rcpp modules has always been to make it easy to expose C++ functions and classes to R. The classes might look like this: And we can expose these classes to R using the following module declarative code: no trackback.
R-bloggers | R news & tutorials from the web. R-statistics blog. Opani - Social Insight. OpenRTMS. Parallel programming with foreach and snow. StatsRUs. Paul E. Johnson <pauljohn @ ku.edu> The original Rtips started in 1999. It became difficult to update because of limitations in the software with which it was created. Now I know more about R, and have decided to wade in again. You are reading the New Thing! The first chore is to cut out the old useless stuff that was no good to start with, correct mistakes in translation (the quotation mark translations are particularly dangerous, but also there is trouble with ~, $, and -.
(I thought it was cute to call this “StatsRus” but the Toystore’s lawyer called and, well, you know…) If you need a tip sheet for R, here it is. This is not a substitute for R documentation, just a list of things I had trouble remembering when switching from SAS to R. Heed the words of Brian D. 1.1 Bring raw numbers into R (05/22/2012) This is truly easy. MyDataFrame <- read.table(‘‘myData’’,header=TRUE) If you type “? Suppose you have tab delimited data with blank spaces to indicate “missing” values. Patience is the key. ?
A Community Site for R | A Community Site for R – Sponsored by Revolution Analytics. R. New York R Statistical Programming Meetup (New York, NY. Romain Francois, Professional R Enthusiast. The Comprehensive R Archive Network.