Another big difference between R and other computing language such as SPSS/SAS/STATA. You can easily get a job using SPSS/SAS/STATA. But it is extremely difficult to find a job using R. ^_^.
On 03 Jan 2006 17:53:40 +0100, Peter Dalgaard <[EMAIL PROTECTED]> wrote: > > Patrick Burns <[EMAIL PROTECTED]> writes: > > > I have had an email conversation with the author of the > > technical report from which the quote was taken. I am > > formulating a comment to the report that will be posted > > with the technical report. > > > > I would be pleased if this thread continued, so I will know > > better what I want to say. Plus I should be able to reference > > this thread in the comment. > > 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. > > For much the same reason, those packages make you tend to treat > practical data analysis as something distinct from theoretical > understanding of the methods: You just don't use SAS or SPSS or Stata > to illustrate the concept of a random sample by setting up a small > simulation study as the first thing you do in a statistics class, > whereas you could quite conceivably do it in R. (What *is* the > equivalent of rnorm(25) in those languages, actually?) > > Even when using SAS in teaching, I sometimes fire up R just to > calculate simple things like > > pbar <- (p1+p2)/2 > sqrt(pbar*(1-pbar)) > > which you need to cheat SAS Analyst's sample size calculator to work > with proportions rather than means. SAS leaves you no way to do this > short of setting up a new data set. The Windows calculator will do it, > of course, but the students can't see what you are doing then. > > > -- > O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B > c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K > (*) \(*) -- University of Copenhagen Denmark Ph: (+45) > 35327918 > ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) > 35327907 > > ______________________________________________ > 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 > -- WenSui Liu (http://statcompute.blogspot.com) Senior Decision Support Analyst Health Policy and Clinical Effectiveness Cincinnati Children Hospital Medical Center [[alternative HTML version deleted]]
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