I used to fit Bayesian model using WinBUGS via R a lot. But now I am more and more prone to run models on OpenBUGS directly. I have document the reason why I like OpenBUGS and wrote a auto OpenBUGS function here. In short, I like to be able to know wha...
Monthly Archives: February 2008
A wraper function to convert coda files into a BUGS object
I used to fit Bayesian model using WinBUGS via R a lot. But now I am more and more prone to run models on OpenBUGS directly. I have document the reason why I like OpenBUGS and wrote a auto OpenBUGS function here. In short, I like to be able to know wha...
R graph with two y-axes
I’ve been asked how to do this several times, so I thought it might help to put an example online. x <- 1:5 y1 <- rnorm(5) y2 <- rnorm(5,20) par(mar=c(5,4,4,5)+.1) plot(x,y1,type="l",col="red") par(new=TRUE) plot(x, y2,,type="l",col="blue",xaxt="n",yaxt="n",xlab="",ylab="") axis(4) mtext("y2",side=4,line=3) legend("topleft",col=c("red","blue"),lty=1,legend=c("y1","y2"))
R graph with two y-axes
I’ve been asked how to do this several times, so I thought it might help to put an example online. x <- 1:5 y1 <- rnorm(5) y2 <- rnorm(5,20) par(mar=c(5,4,4,5)+.1) plot(x,y1,type="l",col="red") par(new=TRUE) plot(x, y2,,t...
Drop unused factor levels
When creating a subset of a dataframe, I often exclude rows based on the level of a factor. However, the "levels" of the factor remain intact. This is the intended behavior of R, but it can cause problems in some cases. I finally discovered how to clea...
R package: codetools
Since the release of R_2.6.0, R package developers were advised to use the ``codetools" package to check potential bugs. However, as I am not familiar with computer language, I found the warning messages a bit confusing. For example:> checkUsage(glm.fit): no visible binding for global variable ‘n’I don't understand what it really means. Apparently, `n'...
Paper on the Gillespie Stochastic Simulation Algorithm in press
Just got news that my revisions to the reviewer’s comments on my paper GillespieSSA: Implementing the Gillespie Stochastic Simulation Algorithm in R were accepted. Hence, this paper is not officially in press in the Journal of Statistical Software. Here’s the … Continue reading →
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
