The following R code models a censored dependent variable (in this case academic aptitude) using a traditional least squares, tobit, and Bayesian approaches. As depicted below, the OLS estimates (blue) for censored data are inconsistent and will ...

Brown-bag release time for littler. One of the minor cleanups in the 0.1.4 release from Thursday actually introduced a nasty little bug as you can't call Rf_KillAllDevices() when you do not have any graphics device. Doh. So with apologies for the l...

The School of Mathematics & Statistics at Newcastle University (UK), are again running some R courses. In January, 2012, we will run: January 16th: Introduction to R; January 17th: Programming with R; January 18th & 19th: Advanced graphics with R. The courses aren’t aimed at teaching statistics, rather they aim to go through the fundemental

posterior = (likelihood x prior) / integrated likelihoodThe combination of a prior distribution and a likelihood function is utilized to produce a posterior distribution. Incorporating information from both the prior distribution and the likelihood function leads to a reduction in variance and an improved estimator. As n→...

If you also favor to use the function, be aware of the returned value. For example:> ifelse(1>0, 3, 4) 3> ifelse(1>0, c(2, 3), c(4, 5)) # only the first element returned. 2 > ifelse(c(1:10)>5, 'on', 'off') "off" "off...

Revolution Analytics' Joe Rickert has a new post on inside-R.org, demonstrating how you can use R and the RevoScaleR package to extract time series data from time-stamped logs (in this case, the "US Domestic Flights From 1990 to 2009" dataset on Infochimps): Analyzing time series data of all sorts is a fundamental business analytics task to which the R...

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