Sometimes a bit of R code needs to know what operating system it’s running on. Here’s a short account of where you can find this information and a little function to wrap the answer up neatly.
Continue reading Identifying the OS from R
Hey Mac OSX users with Java 1.8 installed. Did R just request a Java 1.6 installation and then promptly crash your session? If so, read on…
Continue reading Getting R and Java 1.8 to work together on OSX
A couple of days ago the Monkey Cage featured Ben Lauderdale’s one-dimensional scaling model of US State of the Union addresses. In this post, I replicate the analysis with a closely related model, ask what the scaled dimension actually means, and consider what things would look like if we added another one.
The technical details are all at the bottom of the post if you want to try this at home.
Continue reading More SOTU Scaling
I’ve been playing around with the R package texreg for creating combined regression tables for multiple models. It’s not the only package to do that – see here for a review – but it’s often handy to be able to generate both ascii art, latex, and html versions of the same table using almost identical syntax. Also, the ascii art creating screenreg function allows me to bypass the pdf construction cycle I previously described here. The coefficient plots from plotreg are pretty cool too.
This post is about making the variables listed in those combined regression tables more readable. That is particularly important when data comes from variable-mangling statistical software or from co-authors whose idea of a descriptive name could pass for an online banking password. Even R will cheerfully mash up your carefully chosen variable names through formulas, factors, and interactions. So for work people are going to see, variables should have sensible names.
First I’ll walk through the existing texreg machinery for renaming, omitting, and reordering variables, and then propose a hopefully more intuitive implementation. I’ll demonstrate all this using screenreg on a classic data set on job prestige.
Continue reading Call them what you will
Making available replication materials for the research you do is A Good Thing. It’s also work, and it’s quite easy to never get around to. Certainly I claim no special virtue in this department so I am always happy when there’s an institutional stick to prod my better nature in the right direction. One such institutional prod comes from academic journals and their data policies. If you have to give them your replication data before you they’ll publish your paper, then you probably will. What sorts of journals have data policies?
Continue reading Which political science journals will have a data policy?
There are now quite a few R packages to turn cross-tables and fitted models into nicely formatted latex. In a previous post I showed how to use one of them to display regression tables on the fly. In this post I summarise what types of R object each of the major packages can deal with.
Unsurprisingly, there’s quite some variation…
Continue reading R to Latex packages: Coverage
Since it seems to be the fashion, here’s a post about how I make my academic papers.
Actually, who am I trying to kid? This is also about how I make slides, letters, memos and “Back in 10 minutes” signs to pin on the door. Nevertheless it’s for making academic papers that I’m going to recommend this particular set of tools.
I use the word make deliberately because I’m thinking of ‘academic paper’ broadly, as the sum of its words, analyses, tables, figures, and data. In this sense, papers can contain their own replication materials and when they do it should be possible in a single movement to rerun a set of analyses and reconstruct the paper that reports them.
To get anywhere near that goal, I use a mix of latex, its newer bibliography system biblatex, and the R package knitr. Also, I use a Mac, though that won’t make very much difference to the exposition.
Here’s how this currently works…
Continue reading Tools for making a paper
Inspired by Preis et al.’s article Quantifying the advantage of looking forward, recently published in Scientific Reports (one of Nature publishing group’s journals), I wondered if similar big-data web-based research methods might address a question even bigger than how much different countries wonder about next year. How about the meaning of life. Who is searching for clarification about the meaning of life? And how is that related to the more obvious life task of getting richer?
Continue reading Quantifying the international search for meaning
You’ve got a pdf file and you’d like to view it with whatever the system viewer is. As usual, that requires something special for Windows and something general for the rest of us. Here goes…
Continue reading Show me the pdf already
fourfive R packages will turn your regression models into pretty latex tables: texreg, xtable, apsrtable, memisc, and stargazer. This is very nice if you happen to be a latex document or its final reader, but it’s not so great if you’re making those models to start with.
What if you wanted to see these as you were working on them? In particular what if you wanted to see all your models lined up as if they were already Table 4 of the Masterwork Yet To Be Named that is only now slowly taking shape in your mind?
Continue reading No more ascii-art