Publications by Shige
Integrating R with Geany
According to landroni, R can also be easily integrated with Geany:Download 0.19 (non-optional), then you need to set send_selection_unsafe=true in geany.conf and assign “Send selection to terminal” to a ctrl+r keybinding or similar. As long as your Geany installation has support for the embedded virtual terminal emulator (VT...
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Revolution R Enterprise, some thoughts
I requested an academic copy of the Revolution R Enterprise today. Since they only have Windows or Redhat version, I installed it on an old spare machine dual-booting Linux and Windows. I like what they did with the IDE (the debugger is nice) and some of their tailored made packages dealing with large data and parallel processing. ...
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GotoBLAS2
Here are some tips to speedup matrix computation in R. The author did not provide any benchmark though. Related To leave a comment for the author, please follow the link and comment on their blog: Shige's Research Blog. R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if...
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OpenMx 1.0
Just realized that this SEM package for R has released version 1.0. Great… Related To leave a comment for the author, please follow the link and comment on their blog: Shige's Research Blog. R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking...
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The "tikzDevice" package
The tikzDevice package is quite amazing. Here are two graphs I just made, with (lower) and without (upper) using the tikzDevice package. The difference in quality is huge.Since the LaTeX source file for the figure is quite large in size and may take significantly longer to compile, it makes sense to export the file into PDF file and include in th...
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For a wider use of R
Two things that are crucial for a wider use of R among applied researchers. The first one is data manipulation/reshaping tool. I think the package “reshape” and “reshape2” have done good job and have largely removed the barrier. The second one is a universal output processing engine, something like the “eststo, esttab, ests...
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Lattice vs. ggplot2
Both lattice and ggplot2 seem really interesting and worthy of learning. But I only have time to learn one of them, and the choice is not an easy one.Here is an awesome reference; this blog is generally very interesting; and here is something about the “brew” package. Related To leave a comment for the author, please follow t...
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Computational tools for Bayesian analysis
The increasing number of R-oriented Bayesian computational tools such as MCMCpack, MCMCglmm, DPpackage, R-INLA, spBayes, have made BUGS less and less crucial for day to day Bayesian computation. Honestly, I cannot figure out a single analysis that BUGS can do but at least one of the above mentioned packages cannot. Related To leave...
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Comparison of results
I am doing a simple comparison of different estimation procedures in dealing with a simple binomial model. Here is where I got started:———————————————library(INLA)library(npmlreg)library(MCMCglmm)library(DPpackage)data(Seeds)# Using INLAformula = r ~ x1*x2 + f(plate, model=”iid”)mod.inla = inla(formul...
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Post-estimation results manipulation: Stata vs. R
Stata’s new “margins” command is as powerful as “Zelig” package for R for the purpose of conducting post-estimation manipulation of the results (e.g. producing predicted probabilities, confidence intervals, etc.). While “margins” uses delta method, “Zelig” uses predictive simulation. The best thing is that the result...
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