Monthly Archives: November 2016

R 3.3.2 is released!

November 1, 2016
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R 3.3.2 is released!

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 upgrade to the latest version of R using the installr … Continue reading "R...

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List of R conferences and useR groups

November 1, 2016
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List of R conferences and useR groups

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 created a github repository listing

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mapmate 0.1.0

November 1, 2016
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mapmate 0.1.0

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 map types and

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Free DataCamp Tutorial for Quandl and R

November 1, 2016
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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 R, a free interactive tutorial The post Free DataCamp...

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Come tell us what you want!

November 1, 2016
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Come tell us what you want!

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 in your daily R work

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Some vtreat design principles

November 1, 2016
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Some vtreat design principles

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 behind the package design. Introduction vtreat … Continue reading Some...

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glmnetUtils: quality of life enhancements for elastic net regression with glmnet

November 1, 2016
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The glmnetUtils package provides a collection of tools to streamline the process of fitting elastic net models with glmnet. I wrote the package after a couple of projects where I found myself writing the same boilerplate code to convert a data frame into a predictor matrix and a response vector. In addition to providing a formula interface, it also...

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Introducing R package ‘oddsratio’

November 1, 2016
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Introducing R package ‘oddsratio’

You are dealing with statistical models (GLMs or GAMs) with a binomial response variable? Then the oddsratio package will improve your analysis routine! This package simplifies the calculation of odds rat...

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