As you can see from this post, the community of R users and developers is alive and kicking on Twitter. If you would like to recommend other packages, send me an email or leave a comment on this post.
- data.table: high-performance data manipulation, by Matt Dowle and Arun Srinivasan. This is certainly among my favourite packages. I've been working with datasets of a few hundreds of millions observations and it makes things much faster. I stopped using dplyr long time ago
- tidycensus: a new library to get the US Census Bureau spatial and demographic data in R ready for use with sf and the tidyverse. This package was created by Kyle Walker, who is a must-follow if you're into R and spatial analysis
- mapview: interactive viewing of spatial objects in R, by Tim Salabim
- mapedit: interactive editing of spatial data in R, by Kent Russel
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- ggsci, a collection color palettes inspired by colors used in scientific journals to be used in ggplot2, by Nan Xiao
- ourworldindata: a package by Simon Jackson to access the datasets from OurWorldInData.org, which is a great project by Max Roser
- magick: advanced image-processing in R, which can be really useful for including gifs in your plots and impress reviewer #2 . ht Danielp Hadley
