Data science toolkit

Here is a list of useful resources for data science.

Two R packages for piplining

PipeR and magrittr are two packages for piplining in R. This post explains some design differences between them.

Regular expressions in R

This post explains how to use different regular expression commands to achieve various tasks.

Here is a good tutorial, and a YouTube video here.

Best VPN service providers

I find this introduction useful.

Atom editor

The Atom editor is really cool. The Windows build keeps up the pace of development but the Linux build seriously lags behind. The developmental version is 0.124, the Windows build is 0.123, whereas the Linux build is 0.161. Have to build it from source myself, don't have a choice.

A little collection of cool unix terminal/console/curses tools

Very useful information.

RNetLogo

The RNetLogo package completes the NetLogo simulation environment and makes it an attractive and complete experimentation tool for social scientists and alike.