This package seems useful for demographers.

R news and tutorials contributed by (552) R bloggers

R has a lot of functions. Add in all the packages on CRAN, and then there's a lot of functions. You can search through the contents of the function documentation at places like Rseek.org, but the R Graphical Manual takes a different tack on exploring the functions in R: rather than browsing by the name or description of the...

That’s it!, “Introducing Monte Carlo Methods with R” is out, truly out, I have received a copy from Springer by express mail today! (If you need any further proof, it is also advertised as In stock by Amazon.) Given that the printer exactly reproduces the pdf file sent to Springer, there is no element of

I already wrote about R-bloggers on the R mailing list, so it only seems fitting to write about it more here. I will explain what R-bloggers is and then move to explain what I hope it will accomplish. R-Bloggers.com is a central hub of content collected from bloggers who write about R (in English) and if

Since people have asked, here is a GitHub page with all of the code used to generate my R function usage analyses: cran-function-usage-analysis.

This morning, I got a chance to read enough of the R Language Definition to finish my implementations of push and pop. While I was at it, I also wrote implementations of unshift, shift, queue and dequeue. Here they are: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 push <- function(vector, item) { vector.lvalue.symbol <- substitute(vector) new.expression <- paste(vector.lvalue.symbol,

Wow, doesn't time fly! It's hard to believe that this blog is one year old already: our first post was on December 9, 2008. I remember when we first had the idea of doing a blog exclusively devoted to R that some wondered if there would be enough news about R to warrant daily updates, but with the community...

John Myles White (who did the Canabalt scores analysis from last month) was trying to decide which R functions to spend time learning, and asked the obvious followup question: Which functions in R are used the most? With no readily-available answer, John answered the question himself, by counting the number of times each function is called in all the...