Comment by t_mann

There's a school of thought of using mostly base R, for all its flaws it already had before Hadley, and selectively using some tidyverse packages. Base R has been the de-facto coding standard for academic statisticians for decades, with all the wealth of open source packages that that entails, and some of the tidyverse packages are just a godsend. ggplot2 is probably the most powerful plotting library I've seen, while being fairly accessible. You don't have to subscribe to an entire philosophy for data wrangling or plotting (and may even frown at the syntax overloading) to get a huge amount of utility out of it.