Wednesday, June 23, 2010

FreeGrep Now Standard in Minix

I received an email today saying FreeGrep is now standard in Minix 3!

Tuesday, June 8, 2010

FreeGrep v1.1

Proving no good deed goes unpunished, I left a small bug in FreeGrep v1.0. It has been fixed and updated to 1.1 and also submitted for update in the FreeBSD Ports Tree.

Monday, June 7, 2010

FreeGrep Ported to Minix and New Release

This morning, GitHub user gautambt ported FreeGrep to Minix 3. While the build system leaves something to be desired, I remain resolute in my desire to never learn Autoconf. I have pulled gautambt’s changes into the master branch on GitHub.

In related news, I figured that after 12 years, it was time to let this thing graduate. So I cut a new release and have blessed it as version 1.0. The release should build cleanly on FreeBSD, NetBSD, OpenBSD, and Minix 3. Compiling by hand, it will also build on OS X. You can download FreeGrep 1.0 from GitHub and ftp://ftp.jameshoward.us/pub/howardjp/grep/.

Wednesday, June 2, 2010 Sunday, May 23, 2010

Waterfall Charts in R

It is often hard to wrap your head around the finances of organizations and the unusual accounting rules of public organizations make that even more difficult. When I read The McKinsey Way several years ago, I saw the value in using waterfall charts to analyze and understand the finances of public organizations. So I created functions for plotting waterfall charts using both traditional and grid graphics in R. Here’s an example using the sample data from The McKinsey Way:

Example from Rasiel (1999)

More advanced examples are available in the package demo. I had intended to write the documentation and submit it as a code snippet to the Journal of Statistical Software. However, I have yet to actually write the documentation and it is probably not appropriate for JSS, anyway. Otherwise, the package is complete and is now available from CRAN. The source code is available from Bitbucket. The code repository contains the outline of an Eclipse project using StatET, which I recommend for working with this and all other R packages.