However, I (predictably) have some bones to pick on the Tidyverse points. [1/7]
1. dplyr without pipes? what? ggplot2 without `+`, which is pipe in disguise?
2. Is it really fair to say, "I don't like X, except the parts I like"?
[2/7]
The trade-off is for consistency as compared to base R.
I learned {stringr} in an hour. I still have to look up `grep` and `gsub`. Same for {purrr} vs `apply`.
[3/7]
My opinion is the complete opposite. Tidyverse is wonderful for data exploration and teaching. As soon as I get going on a more complex research project, I tend to revert to Base.
[4/7]
[5/7]
Plus, great developers are being privately funded to focus on their open-source work, which is a win for the whole community!
[6/7]
As long as I'm praising @rstudio: They also deserve a lot of credit for their commitment to supporting education. From free products for educators to funding student research - their generosity means an enormous amount to those of us with limited resources!