Publications by jackman
state-by-state pendulum
By popular demand (!), my state-by-state pendulum (pendula?) for 2010 is up (big PDF), just in time for the election. 550px wide JPG version is inline, below. This follows the same formatting I used in the 2007 edition. We start with the 2PP ALP vote shares recorded at the last election (incorporating changes from electoral redistributions, as ...
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swing graph
I’m updating a swing dotplot PDF every 10 minutes as the count progresses (and the cool part is that the updates continue even as I’m flying Heathrow to SFO). Related To leave a comment for the author, please follow the link and comment on their blog: simon jackman's blog » R. R-bloggers.com offers daily e-mail updates about R news and t...
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informality, the 2010 edition
For the last two cycles I’ve done some simple regression analysis of the informal vote. I saw Possum have his go at it, using a specification that is virtually the same as what I’ve run in the past (2007, 2004). The 2010 edition follows. As usual, electorate-level informality in House of Reps voting increases with (a) the number of candid...
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Labor vote share across different types of balloting
We’re starting to get more divisions reporting two-candidate preferred numbers by vote type. The emerging picture (literally) is one in which Labor’s performance on the pre-polls and postals is lagging its performance in ordinary votes. On the other hand, Labor seems to be doing well among absentee voters (the regression line sitting above ...
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mapping the Australian election (2010 edition)
The AEC makes this reasonably easy, as do the authors of some very helpful R packages, the good people at Google Maps etc. Full description here (PDF); entire collection here; a sample here, showing Green 1st preferences, by polling places across metropolitan Melbourne: Related To leave a comment for the author, please follow the link and comme...
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the spatial concentration of Green support
I did some poking and prodding of the polling place data, looking at the way Green support is highly concentrated in the inner-capital cities (and in Melbourne and Sydney, in particular). There are a few interesting exceptions that will make sense to Australian readers: Nimbin, Kuranda, Broome… A sample graph from the report: Related To lea...
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How fast is JAGS?
From Martyn Plummer, on the JAGS news blog. Key graph below, showing a few outlying cases in which JAGS is substantially slower than OpenBUGS, but generally, JAGS performs quite favorably. Key point from Martyn: Incidentally, these figures are for JAGS with the glm module loaded. The glm module is not loaded by default. If you are not using it ...
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R wanted for an intern at Barron’s
R/SQL/scripting, oodles of data, a willing outlet for write-ups. Any takers? Do some good. Intern at Barron’s, the New York financial publication with a decades-long tradition of investigative journalism and a more recent commitment to data analytic exposure of fraud in finance, business and healthcare. Bring us your zeal and your data mungi...
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Aquamacs customizations (auctex, ESS)
I gave an informal talk on my Mac based “workflow” at Stanford on Friday. I talked a lot about Aquamacs as a tool for editing LaTeX (I use MacTeX) and for working with R (thanks auctex and ess, respectively). Skim also got a mention; I emphasized TeX-PDF synchronization. Some of the students were asking for my Aquamacs customizations. H...
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iPhone geo-tracking database
So the web lit up a little today with news that iPhones are collecting time-stamped location data, and in a form that isn’t particularly hard to look at (and even with some nice apps to make animated maps of your travels etc): The database is SQLite, and I used R (and the RSQLite package) to open it up and see what is there. In my case, I fou...
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