I've released version 0.2-0 of highlight to CRAN This version brings some more additions to the sweave driver that uses highlight to produce nice looking vignettes with color coded R chunks The driver gains new arguments boxes, bg and border to c...

I've released version 0.2-0 of highlight to CRAN This version brings some more additions to the sweave driver that uses highlight to produce nice looking vignettes with color coded R chunks The driver gains new arguments boxes, bg and border to c...

Memorial Day weekend is also time for the annual Bike The Drive in Chicago. This time only half the household got up bright and early and enjoyed Lakeshore Drive free of cars. A highly recommended event.

Details matter (at least, they do for me), but we don't yet have a systematic way of going back and forth between the structure of a graph, its details, and the underlying questions that motivate our visualizations. (Cleveland, Wilkinson, and....

It's Memorial Day weekend so it was time for the Chicago's JP Morgan Chase Corporate Challenge on Thursday. The weather was glorious, the usual 20-some thousand runners participated and a good time was had. Work had arranged for a nice tent, food, mu...

(This is the second of a series of ongoing posts on using Graph Algebra in the Social Sciences.) First-order linear difference equations are powerful, yet simple modeling tools. They can provide access to useful substantive insights to real-world phenomena. They can have powerful predictive ability when used appropriately. Additionally, they may be classified in any number

As usual click on the image for a full-size version. Code: par(bg="black") par(mar=c(0,0,0,0)) plot(c(0,1),c(0,1),col="white",pch=".",xlim=c(0,1),ylim=c(0,1)) iters = 500 for(i in 1:iters) { center = runif(2) size = rbeta(2,1,50) # Let's create random HTML-style colors color = sample(c(0:9,"A","B","C","D","E","F"),12,replace=T) fill = paste("#", paste(color[1:6],collapse=""),sep="") brdr = paste("#", paste(color[7:12],collapse=""),sep="") rect(center[1]-size[1], center[2]-size[2], center[1]+size[1], center[2]+size[2], col=fill, border=brdr, density=NA, lwd=1.5) }

The version 0.1-8 of highlight introduced a small bug in the latex renderer. This is now fixed in version 0.1-9 and the latex renderer also gains an argument "minipage" which wraps the latex code in a minipage environment. I've used this to make...

Motivation In the past few months I have been using DropBox for syncing my work files between my home and work computer. It has saved me from numerous mistakes and from sending the files to myself via e-mail. Recently I found this service highly useful for sharing files with 4 other people with whom I am working on a...

COUNTERINTUITIVE PROBLEM, INTUITIVE REPRESENTATION Blog posts about counterintuitive probability problems generate lots of opinions with a high probability. Andrew Gelman and readers have been having a lot of fun with the following probability problem: I have two children. One is a boy born on a Tuesday. What is the probability I have two boys? The

(This is the first in a series on the use of Graph Algebraic models for Social Science.) Linear Difference models are a hugely important first step in learning Graph Algebraic modeling. That said, linear difference equations are a completely independent thing from Graph Algebra. I’ll get into the Graph algebra stuff in the next post or

Having worked with Unix (BSD, HPUX, IRIX, Linux and OSX), Windows (NT4, 2000, XP, Vista and 7) for quite a while I have seen a lot of different software tools. I would like to quickly exhibit my “must have” list. These are the packages that I find to be the single “must have offerings” in Related posts:

According to internet lore, there's a mathematical equation that governs the lower bound for the socially acceptable age of a potential dating partner: half your age plus 7, or, in mathematical terms, if x is your age then the lower bound is f(x) = x/2 + 7. Seems simple, right? if you're 20, then the minimum socially acceptable age...

(This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on his blog: Rmetrics blogs. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web...

Matt Asher posted an R experiment on R-bloggers yesterday simulating the random walk which has the property of avoiding zero by quickly switching to a large value as soon as is small. He was then wondering about the “convergence” of the random walk given that it moves very little once is large enough. The values

Maybe you remember playing this one as a kid. If you are about my age, you may have even created a version of this game as one of your first computer programs. You guess a number, the computer tells you if you if you are too low or high. I’ve limited the number of maximum

Parent material data is stored within the copm and copmgrp tables. The copm table can be linked to the copmgrp table via the 'copmgrpkey' field, and the copmgrp table can be linked to the component table via the 'cokey' field. The following queries illustrate these table relationships, and show one possible strategy for extracting the parent material information...

After finishing the R prototype for data visualization, I've started abstracting the various methods necessary to create beautiful graphs. While there's no preliminary version of the R package yet, I think I've taken a number of exciting steps. These include: Abstracting graph objects. Objects such as lines, scatter plots, and other graph types can all

(This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on his blog: Rmetrics blogs. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web...

There's new video at the Video Rchive of a JD Long presentation: Amazon Elastic Map-Reduce (So Easy an Economist Can Do It). I'm on a plane right now and the in-flight wi-fi isn't quite up to playing the 30-minute video, but judging from the slides it looks like a nice, practical demonstration of getting a map-reduce computation programmed in...