November 2013

RcppArmadillo 0.3.920.3

November 20, 2013 | Thinking inside the box

Conrad released a bug fix version 3.920.3 for his Armadillo library. So I prepared a new release 0.3.920.3 of RcppArmadillo which is nor on on CRAN and also already in Debian. Note that we skipped interim version .2 which addressed an Atlas linking i... [Read more...]

Art of Statistical Inference

November 20, 2013 | suman

[This article was first published on MATHEMATICS IN MEDICINE, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share [Read more...]

Penalizing P Values

November 19, 2013 | Jacob Simmering

Penalizing P Values Ioannidis' paper suggesting that most published results in medical research are not true is now high profile enough that even my dad, an artist who wouldn't know a test statistic if it hit him in the face, knows about it. It has even shown up recently in ... [Read more...]

Analyze Facebook with R

November 19, 2013 | julianhi

Hello everybody! Today I found something very cool: There is a R package for mining Facebook. For Twitter there are different, but this is the first one really working well with Facebook. So I wanted to test it and was amazed about how easy it works. Setup: The first thing ... [Read more...]

Getting started with R, for Stata users

November 19, 2013 | David Smith

If you learned statistics using Stata software but have an interest in learning the R language, it's worth checking out R~Stata: Notes on Exporing Data by Princeton's Oscar Torres-Reyna. D-Lab's Laura Nelson provides an overview, but in short it's a collection of 30 PDF slides that introduces R for Stata ... [Read more...]

taxize changes

November 19, 2013 | rOpenSci Blog - R

We are building a taxonomic toolbelt for R called taxize - which gives you programmatic access to many sources of taxonomic data on the web. We just pushed a new version to CRAN (v0.1.5) with a lot of changes (see here for a rundown). Here are a few highlights of ... [Read more...]

Predicting claims with a bayesian network

November 19, 2013 | Markus Gesmann

Here is a little Bayesian Network to predict the claims for two different types of drivers over the next year, see also example 16.16 in [1]. Let's assume there are good and bad drivers. The probabilities that a good driver will have 0, 1 or 2 claims in any given year are set to 70%, 20% and 10%, ... [Read more...]

Iterators in R: a tutorial

November 18, 2013 | David Smith

Iterators — object-oriented programming constructs that act as a pointer in an ordered sequence — are familiar to programmers of languages like Python, but are not a standard part of the R language. Nonetheless, by installing the iterators package (an open-source contribution by Revolution Analytics) you can create and manipulate iterator objects ... [Read more...]

The homogenization of scientific computing, or why Python is steadily eating other languages’ lunch

November 18, 2013 | Tal Yarkoni

Over the past two years, my scientific computing toolbox been steadily homogenizing. Around 2010 or 2011, my toolbox looked something like this: Ruby for text processing and miscellaneous scripting; Ruby on Rails/JavaScript for web development; Python/Numpy (mostly) and MATLAB (occasionally) for numerical computing; MATLAB for neuroimaging data analysis; R for ... [Read more...]

Binomial regression model

November 18, 2013 | arthur charpentier

Most of the time, when we introduce binomial models, such as the logistic or probit models, we discuss only Bernoulli variables, . This year (actually also the year before), I discuss extensions to multinomial regressions, where  is a function on some simplex. The multinomial logistic model was mention here. The idea ... [Read more...]

Simulation (is where it’s happening)

November 18, 2013 | Robert

Jim Silverton wrote to the Allstat mailing list recently: “Hi, Anyone up for a challenge? Suppose we have [4] random variables that are random points on the surface of a sphere. What is the probability that the tetrahedron made by joining these … Continue reading → [Read more...]
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