November 2016

R 3.3.2 is released!

November 1, 2016 | Tal Galili

R 3.3.2 (codename “Sincere Pumpkin Patch”) was released yesterday You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of bug fixes and new features is provided below. Upgrading to R 3.3.2 on Windows If you are using Windows you can easily ...
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List of R conferences and useR groups

November 1, 2016 | csgillespie

Recently Steph Locke asked on twitter if there was a list of R conferences. After some googling, all that I came up was a list of useR groups maintained by Microsoft. While the list was lengthy, it was missing a few groups (and twitter handles). So the other night I ... [Read more...]

mapmate 0.1.0

November 1, 2016 | Matt Leonawicz

mapmate has now been updating from version 0.0.2 to 0.1.0 on Github. The biggest addition is a number of plotting options for making different kinds of maps. The new tutorial content below provides a number of code examples for making a variety of maps and also highlights current limitations associated with certain ...
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Free DataCamp Tutorial for Quandl and R

November 1, 2016 | Raquel Sapnu

This is a guest post from DataCamp. At DataCamp we build tools to learn data science interactively. We have an onlineR tutorial to learn R Programming and a Python For Data Science tutorial to learn Python. Some time ago we collaborated with Quandl to developHow to Work with Quandl in ... [Read more...]

Come tell us what you want!

November 1, 2016 | Onno Dijt

Welcome! We are making this post today to address a burning question in our minds. And you can help us with! We just expanded our author team for creating exercise sets once more. One of our goals is to deliver content that you really want to practice with and incorporate ... [Read more...]

Some vtreat design principles

November 1, 2016 | John Mount

We have already written quite a few times about our vtreat open source variable treatment package for R (which implements effects/impact coding, missing value replacement, and novel value replacement; among other important data preparation steps), but we thought we would take some time to describe some of the principles ... [Read more...]
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