UPDATE: The online static version of the presentation is available here: http://rpubs.com/kalimu/erum. Thank you for all the feedback! In two days, from 12 to 14 October, 2016 in Poznan (Poland) will take place the conference “eRum 2016: european R users meeting“. I will give a talk about new R package: LimeRick. LimeRick enables close connection between two important open-source projects: R and LimeSurvey. LimeSurvey […]
Category: R (in English)
The article is titles Gender Prediction Methods Based on First Names with genderizeR is available in the latest issue of the R Journal (Vol. 8/1, Aug. 2016). You can download it here: https://journal.r-project.org/archive/2016-1/wais.pdf . More information about the package and the article you can find also on my homepage. I hope they will be useful in your work!
As the genderizeR package hit 4 000 downloads from RStudio CRAN mirror I released new version (2.0.00) on the CRAN. It is also available from the GitHub. I also updated the CRAN submission checklist for package developers.
A few people have been asking about the speed of the package, so I have done some speed test using the latest version of the genderizeR package. Without any parallel programming I managed to check 108 023 unique terms through genderize.io API and it took 45 minutes (2 395 term per minute). It probably could be faster in the future versions of the […]
Below is a checklist that I wrote for my own purposes. I needed it to be sure that I do what I should to do before release a new version of R package to CRAN. Maybe it will be helpful to others. See what Hadley recommends (http://r-pkgs.had.co.nz/release.html). Update: R all packages RStudio (preview version). Update to the package: Check unit tests. Update vignettes. Check reverse dependencies. If devtools functions don’t work […]