Attention Stata users! Our blog series covering the first two phases of PMA panel data is now available in PDF format, with separate versions featuring examples in both R and Stata.
Thanks to contributions from our friends at Biostat Global Consulting, IPUMS PMA is pleased to announce that we’ve released a PDF version of our blog series on PMA panel data adapted for Stata users. We’ve also reformatted the original R examples for readers who prefer a PDF.
You can find both versions of the PMA Longitudinal Analysis Guide below, or on our GitHub Page. If you’d like, you can also download a .do file containing all of the code featured in the Stata version (additional helper files are available here). R users can download an R Markdown file containing the full PDF text with embedded, executable R code.
If you visit our GitHub Page, you’ll notice two R Markdown files: one for the R version of this guide, and - perhaps surprisingly - one for the Stata version! Although we weren’t quite able to elegantly execute Stata code with R Markdown, building both documents with the same toolkit allowed us to create “twin” versions with a single set of layout options. Additionally, we were able to use hidden inline R functions in both documents that, for example, automatically style hyperlinks for IPUMS variables in R (UPPERCASE) and Stata (lowercase). Check out our utilities script on GitHub if you’d like to peek under the hood at these inline tools.
Huge thanks to the authors of pagedown, an R package that uses the Page.js JavaScript library to paginate HTML content for PDF printing. If you’re someone who has already put a lot of thought into CSS for an website or blog, and you’re wondering if there’s an easy way to port your style guide to a book (without LaTeX) - this is it!
If you see mistakes or want to suggest changes, please create an issue on the source repository.