Some R Packages I would love to explore (October 2020)
A useful note for my future self (and probably to others)
These are some packages I have just discovered which I would like to try/use in the future. For future reference, I have added a brief description and links to source code:
janitor: has simple functions for examining and cleaning dirty data. It was built with beginning and intermediate R users in mind and is optimized for user-friendliness. Advanced R users can already do everything covered here, but with janitor they can do it faster and save their thinking for the fun stuff.
rexmakes writing regular expressions easier by using a friendlier syntax. I always have some difficulties memorizing regex expressions and usually have to use the Regex101 (a great resource, by the way) as a reminder.
dcmodifyteam. These group of packages from the same author seem to work as a team.
validatevalidates data’s structure (It can even validate data from rule files written in
errorlocatefinds the faulty observations, which can later be corrected by either
deductive(from predefinded rules)
- hrbrthemes provides additional Themes and Theme Components for my beloved
seeprovides additional color palettes and backgrounds for
ggannotate: positioning annotations in
rmapzen: a mapzen API client for R (Documentation). I am always looking for good geocoding services (currently using
photon), and this package uses Mapzen’s Pelias geocoding (amongst other things).
parzerparses messy coordinates and converts from different formats to decimal. Also, provides helper functions such as getting hemisphere.