ALTREP promises to bring major performance improvements to R

Finally, a promising effort to improve the foundation of the R system.

When there's a fork in the road, take it. Or, taking a look at marginal structural models.

Easy to follow and crystal clear introduction to marginal structural models here.

How to develop good R packages (for open science)

Very helpful post here.

Use Your Android Device as a Second Monitor for Your Windows PC

This is useful information.

This post uses a different software.

New in the tigris package: simple features support and historic shapefiles

There have been so many cool developments in the R ecosystem. Here is an exciting one.

Tidytext + stm

The new version of tidytext package now works with the stm package for topic modeling. This is a great new development.

Treating your data: The old school vs tidyverse modern tools

Useful comparisons here.

CARstan and the new brms

Finally Stan can do spatial modeling using CARstan module. Also, the new version (1.8.0) of the brms package also has that capability wrapped in.

The R community is one of R's best features

Excellent summary here.

Useful tricks when including images in Rmarkdown documents

Very useful post.

Lesser known dplyr tricks

Here are some useful dplyr tricks.

Mortality data

1. CDC Compressed Mortality File
2. U.S. County-Level Natality and Mortality Data, 1915-2007 (ICPSR 36603)

Interesting Kaggle data

Here is the list:

1. 2014 American Community Survey;
2. Death in the United States
3. Online Auctions Dataset
4. US county-level mortality
5. U.S. Pollution Data
6. Datascience Universities across US

Russian demographic data source

This is comprehensive list of Russian demographic data sources.

Good data source

Common Crawl provides some very interesting data!

Gelman's MrP in R - What is this all about?

A simple example here.

Harvard WorldMap

Useful spatial resources at Harvard.

The China Biographical Database

This project provides iographical information about approximately 360,000 individuals as of April 2015, primarily from the 7th through 19th centuries in China. Very ambitious project and is freely available to the academic community!

Regular expressions using R

Regularity is the best R regular expressions library so far. I particularly like its intensive use of the pipe operator, which makes the otherwise obscure process easy and transparent.