As things change over time so should our statistical models. The image is CC by Prad Prathivi Since I'm frequently working with large datasets and survival data I often find that the...

The goal of this course is to give you the skills to do the statistics that are in current published papers, and make pretty figures to show off your results. While we will go over the mathematical concepts behind the statistics, this is NOT meant to be a classical statistics class. We will focus more Lesson 0: Introduction...

The R Markdown package ships with a raft of output formats including HTML, PDF, MS Word, R package vignettes, as well as Beamer and HTML5 presentations. This isn’t the entire universe of available formats though (far from it!). R Markdown formats are fully extensible and as a result there are several R packages that provide additional formats.

Last week we introduced the new hunspell R package. This week a new version was released which adds support for additional languages and text analysis features. Additional languages By default hunspell uses the US English dictionary en_US but the new version allows for checking and analyzing in other languages as well. The ?hunspell...

Hunspell is the spell checker library used in LibreOffice, OpenOffice, Mozilla Firefox, Google Chrome, Mac OS X, InDesign, and a few more. Base R has some spell checking functionality via the aspell function which wraps the aspell or hunspell command line program on supported systems. The new hunspell R package on...

R 3.2.4 (codename “Very Secure Dishes”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.2.4 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr … Continue reading...

An interesting question came up on X validated a few days ago: given a probability vector p=(p¹,…,p⁷), is there a way to pick 5 values in {1,…,7} without replacement and still preserve the probability repartition in the resulting sample? In other words, is there a sampling without replacement strategy that leads to for i=1,…,7..? Unless

Alex Thiéry suggested debiasing the biased estimate of e by Rhee and Glynn truncated series method, so I tried the method to see how much of an improvement (if any!) this would bring. I first attempted to naïvely implement the raw formula of Rhee and Glynn with a (large) Poisson distribution on the stopping rule

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