Logging framework dedicated for complex shiny apps.
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 is the most advanced open-source system for on-line survey and Computer Aided Web Interviewing (CAWI) and together with R they offer advanced ecosystem for gathering and analyzing declarative data.
In recent years, there has been increased interest in methods for gender prediction based on first names that employ various open data sources. These methods have applications from bibliometric studies to customizing commercial offers for web users. …
The last update of this post: 2019-01-23.
Below is a checklist that I wrote for my own purposes. I helps me to be sure that I did what I should have done before release a new version of R package to CRAN. Maybe it will also help others.
See what new Hadley recommends:
Update R & packages:
RStudio (stable or preview version).
Update your package:
Check unit tests.
The R package for gender prediction based on first names.