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. ______________________________________________ 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
