Sunday, August 30, 2009

Saturday, August 29, 2009


An online LaTeX processing system and document repository:

I got the information from this post:

Friday, August 28, 2009

'R' programming

Saturday, August 22, 2009

NpptoR: R in Notepad++

For those who are scared of Emacs:

Sunday, August 16, 2009

Reproducible Research

This is an important topic for scientists of all disciplines and deserves more attention among social scientists.

GTD: getting things done


Saturday, August 15, 2009


Ubuntuzilla, works like a charm:

Latex for Undergraduates

Useful web site:

High tech, low tech?

Interesting article:

Thursday, August 13, 2009

Workflow applications


Git + Emacs

Thursday, August 06, 2009


I finally figured out how to use the R package "cachesweave". The trick is that the code chunks must follow some order, like the following:


Reshaping data

This post ( explains how to "reshape" data in R using the reshape package. It not only can do what the reshape command in Stata does (the "melt" step), but also a step further (the "cast" step). Quite amazing.

Making LaTeX tables using R, more options

A new package named "estout":

Wednesday, August 05, 2009

Apple may just be worse than Microsoft


Report tool

The R package "reporttools" looks promising. It generate various kinds of descriptive tables, including two-way tabulations, in LaTeX that is suitable for directly inserting into a Sweave document.


The PIDA project ( represents an interesting approach toward Python IDE. It builds upon either VIM or Emacs (my editor of choice) and tries to make Python specific programming easier.

VoIP for blackberry

I am having hard time finding a good VoIP application for my blackberry. Skype does not have one, TruePhone's BB version does not support WIFI, neither does Nimbus. Should have bought an Android instead (really don't like Apple stuff).

Tuesday, August 04, 2009

A R-based course

The foundations of statistics: A simulation-based approach

A complete book with the source code (Sweave) on-line:

Creating maps in R