As I mentioned in my quick write-up of UseR 2009, one of my talks was about cran2deb: a system to turn (essentially) all CRAN packages into directly apt-get-able binary packages. This is essentially a '2.0' version of earlier work with Steffen Moelle...
Monthly Archives: July 2009
cran2deb: Would you like 1700+ new Debian / R packages ?
As I mentioned in my quick write-up of UseR 2009, one of my talks was about cran2deb: a system to turn (essentially) all CRAN packages into directly apt-get-able binary packages.
This is essentially a '2.0' version of earlier work with Steffen Moeller and David Vernazobres which we had presented in 2007. Then, the approach was top-down and monolithic which started to...
Some detail on the last plot
First we plot approval (app) against date (daten). We also specify a few other things. ylim=c(40,80) specifies that the y axis extends from 40 to 80. xlim=c(-3,210) might seem odd, but we need extra space on the left. pch=16 plots dots, and col="gray" ...
Some detail on the last plot
First we plot approval (app) against date (daten). We also specify a few other things. ylim=c(40,80) specifies that the y axis extends from 40 to 80. xlim=c(-3,210) might seem odd, but we need extra space on the left. pch=16 plots dots, and col="gray" ...
Obama approval
Working some more with time series data. Here we have a graph of Obama job approval numbers, with two LOWESS-fit lines added for trending:
Figure1. President Obama job approval, Jan 2009 - present.
There's actually some pretty fancy stuff going on there, as the following code shows.
polls
lfit1 lfit2
plot (app~daten, ylim=c(40,80), xlim=c(-3,210),
pch=16, col="gray",
cex.lab=1.25,cex.axis=0.75,
col.lab = "#777777",
xlab="",ylab="Obama...
Obama approval
Working some more with time series data. Here we have a graph of Obama job approval numbers, with two LOWESS-fit lines added for trending:
Figure1. President Obama job approval, Jan 2009 - present.
There's actually some pretty fancy stuff going on there, as the following code shows.
polls
lfit1 lfit2
plot (app~daten, ylim=c(40,80), xlim=c(-3,210),
pch=16, col="gray",
cex.lab=1.25,cex.axis=0.75,
col.lab = "#777777",
xlab="",ylab="Obama...
useR 2009 in Rennes: Recap and slides
I spent most of last week in Rennes, the capital of Brittany in France, as it was time for UseR! 2009, the annual R conference. Francois Husson, Aline Legrand and others at the Agrocampus Ouest had put together a really well-run conference, and it was ...
useR 2009 in Rennes: Recap and slides
I spent most of last week in Rennes, the capital of Brittany in France, as it was time for UseR! 2009, the annual R conference. Francois Husson, Aline Legrand and others at the Agrocampus Ouest had put together a really well-run conference, and it was a pleasure to reconnect with so many people. It was also pretty nice to walk around town...
Causal inference and biostatistics
I've been following the discussion on causal inference over at Gelman's blog with quite a bit of interest. Of course, this is in response to Judea Pearl's latest book on causal inference, which differs quite a bit from the theory that had been forwarde...
The Knapsack Problem
David posts a question about how to solve this knapsack problem using the R statistical computing and analysis platform. My reply in the comments seems to have disappeared for a while so here is my proposed solution:
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
