arctic oscillation (AO): 1 - trends Since 1950 In this post, I begin a series on the Arctic Oscillation (AO) . This post presents a chart of monthly AO Index from 1950 to the present and introductory information on AO … Continue reading ...
Today, Neil posted an article titled" Connecting to a MongoDB database from R using Java". In the current post, I'll show how to use the C API for MongoDB to fetch some MongoDB data from R. The code will be somehow similar to my previous post "A stateful C function for R: parsing Fasta sequences".OK, First, let's...
Today, Neil posted an article titled" Connecting to a MongoDB database from R using Java". In the current post, I'll show how to use the C API for MongoDB to fetch some MongoDB data from R. The code will be somehow similar to my previous post "A stateful C function for R: parsing Fasta sequences".OK, First, let's...
Brian announced it on r-help and r-sig-finance and I have since updated the R/Finance website and Call for Papers page. And as David Smith already outblogged me about it, without further ado our Call for Paper for next spring's R/Finance conference: ...
Brian announced it on r-help and r-sig-finance and I have since updated the R/Finance website and Call for Papers page. And as David Smith already outblogged me about it, without further ado our Call for Paper for next spring's R/Finance conference: ...
Brian announced it on r-help and r-sig-finance and I have since updated the R/Finance website and Call for Papers page. And as David Smith already outblogged me about it, without further ado our Call for Paper for next spring's R/Finance conference: ...
The aqp package can be downloaded from R-Forge. read more
Introduction Because R is, in part, a functional programming language, the ‘base’ package contains several higher order functions. By higher order functions, I mean functions that take another function as an argument and then do something with that function. If you want to know more about the usefulness of writing higher order functions in general,
In the previous days I have received several emails asking for clarification of the effective sample size derivation in “Introducing Monte Carlo Methods with R” (Section 4.4, pp. 98-100). Formula (4.3) gives the Monte Carlo estimate of the variance of a self-normalised importance sampling estimator (note the change from the original version in Introducing Monte 