On Tue, 3 Jan 2006, Gabor Grothendieck wrote: > On 1/3/06, Thomas Lumley <[EMAIL PROTECTED]> wrote: > > On Tue, 3 Jan 2006, Peter Dalgaard wrote: > > > One thing that is often overlooked, and hasn't yet been mentioned in > > > the thread, is how much *simpler* R can be for certain completely > > > basic tasks of practical or pedagogical relevance: Calculate a simple > > > derived statistic, confidence intervals from estimate and SE, > > > percentage points of the binomial distribution - using dbinom or from > > > the formula, take the sum of each of 10 random samples from a set of > > > numbers, etc. This is where other packages get stuck in the > > > procedure+dataset mindset. > > > > Some of these things are actually fairly straightforward in Stata. For > > In fact there are some things that are very easy > to do in Stata and can be done in R but only with more difficulty. > For example, consider this introductory session in Stata: > > http://www.stata.com/capabilities/session.html > > Looking at the first few queries, > see how easy it is to take the top few in Stata whereas in R one would > have a complex use of order. Its not hard in R to write a function > that would make it just as easy but its not available off the top > of one's head though RSiteSearch("sort.data.frame") will find one > if one knew what to search for.
Could I ask for comments on: source(url("http://spatial.nhh.no/R/etc/capabilities.R"), echo=TRUE) as a reproduction of the Stata capabilities session? Both the t test and the chi-square from our side point up oddities. I didn't succeed on putting fit lines on a grouped xyplot, so backed out to base graphics. This could be Swoven, possibly using the RweaveHTML driver. The three obvious world-view differences are functions returning objects (but difficult to "see" when the default print method for the object shows the object), nested function calls (on-the-fly objects), and multiple data-sets (objects, typically data frames) simultaneously present in the workspace. Inserting objects() into the script would show the workspace growing, perhaps. Roger -- Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Helleveien 30, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43 e-mail: [EMAIL PROTECTED] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html