# Awesome R Posts

## 4/2016


<!-- 1. [title](http://www.example.com)<br/>@ somebody **#tag #tag**<br/> description <br/> &nbsp; -->

1. [Fast csv writing for R](http://blog.h2o.ai/2016/04/fast-csv-writing-for-r/)<br/>@ Matt Dowle **#csv**<br/>Introduction to fwrite() in data.table package.<br/> &nbsp;
1. [I'll Keep Using R](http://md.ekstrandom.net/blog/2016/04/using-r/)<br/>@ Michael Ekstrand **#PythonVsR**<br/> Comparison between PyData stack and R.<br/> &nbsp;
1. [How I Learned to Stop Worrying and Love R CMD Check](http://juliasilge.com/blog/How-I-Stopped/)<br/>@ Julia Silge **#CRAN #package**<br/> A real process of getting a package CRAN-ready. <br/> &nbsp;

## 3/2016

1. [Rbitrary Standards](https://ironholds.org/projects/rbitrary/)<br/>@ Oliver Keyes **#R #FAQ** <br/> This is an alternate FAQ for R. <br/> &nbsp;
1. [Submitting packages to CRAN](http://f.briatte.org/r/submitting-packages-to-cran) <br/>@ François Briatte **#CRAN #package** <br/> This note lists a few of the mistakes that one can make before submitting a package to CRAN. <br/> &nbsp;
1. [EigenCoder: Programming Stereotypes](http://trestletech.com/2016/03/09/eigencoder/) <br/>@ Jeff Allen **#fun #visual**  <br/> There are a lot of stereotypes in the programming community. Well it turns out that some of these might be true. <br/> &nbsp;
1. [BallR: Interactive NBA Shot Charts with R and Shiny](http://toddwschneider.com/posts/ballr-interactive-nba-shot-charts-with-r-and-shiny/)  <br/>@ Todd W. Schneider **#shiny #NBA** <br/> Make your own shot charts for any NBA player dating back to 1996. <br/> &nbsp;
1. [It’s not the p-values’ fault – reflections on the recent ASA statement (+relevant R resources)](http://www.r-statistics.com/2016/03/its-not-the-p-values-fault-reflections-on-the-recent-asa-statement/)  <br/>@ Tal Galili & Yoav Benjamini **#p-value #theory**   <br/> This post highlights points raised by Yoav Benjamini in his official response to the ASA statement, as well as offers a list of relevant R resources. <br/> &nbsp;
1. [An Introduction to XGBoost R package](http://dmlc.ml/rstats/2016/03/10/xgboost.html)  <br/>@ DMLC **#machine learning**  <br/> &nbsp;

## 2/2016

1. [Sustainable code for social scientists](http://f.local/r/sustainable-code-for-social-scientists) <br/>@ François Briatte **#reproducible #code**  <br/> &nbsp;

## 1/2016

1. [String manipulations on full names](http://f.local/r/string-manipulation-on-full-names)  <br/>@ François Briatte **#string #preprocess** <br/> This note shows how to use the stringr package to clean a list of full names. <br/> &nbsp;

## 1/2015

1. [Understanding \[.data.frame](https://kevinushey.github.io/blog/2015/01/24/understanding-data-frame-subsetting/) <br/>@ Kevin Ushey **#data.frame** <br/> &nbsp;

## 9/2007

1. [R Surprises](http://www1.cuni.cz/~obo/r_surprises.html)  <br/>@ Ondřej Bojar **#FFI #gotcha** <br/> The number of 'gotchas' has exceeded my threshold. Instead of smashing things, I'll to write about it. <br/> &nbsp;

## Series

1. [R User Groups Updates](http://blog.revolutionanalytics.com/user-groups/) <br/>@ Revolutions **#community** <br/> &nbsp;