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Like I mentioned in my last blog post, I am contributing to a session at userR 2017 this coming July that will focus on discovering and learning about R packages. This is an increasingly important issue for R users as we all decide which of the 10,000+ packages to invest time in understanding and then use in our work.
library(dplyr) available.packages() %>% tbl_df() ## # A tibble: 10,276 × 17 ## Package Version Priority Depends ## <chr> <chr> <chr> <chr> ## 1 A3 1.
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