Learn about our assignment to teach the
tidyverse to each other.
I’m teaching an R Programming course next term. Jessica Minnier and I are developing the Ready for R Materials into a longer and more involved course.
I think one of the most important things is to teach people how to self-learn. As learning to program is a lifelong learning activity, it’s critically important to give them these meta-learning skills. So that’s the motivation behind the Tidyverse function of the Week assignment.
I asked on Twitter:
Hi Everyone. I'm teaching an #rstats course next quarter.— Ted Laderas, PhD 🏳️🌈 (@tladeras) November 30, 2020
One assignment is to have each student write about a #tidyverse function. What it's for and an example.
What are some less known #tidyverse functions that do a job you find useful?
Here are some of the highlights from the thread.
I loved all of these. Danielle Quinn wins the MVP award for naming so many useful functions:
dplyr::uncount()— Danielle Quinn (she/her) (@daniellequinn88) December 1, 2020
tidyr::fill() / replace_na()
stringr::str_detect() / str_which()
lubridate::ymd_hms() and related functions
ggplot2::labs() - so simple, yet under appreciated!
fill() was highly suggested:
tidyr::fill() - extremely useful when creating a usable dataset out of a spreadsheet originally built for data entry, in which redundant informations are only reported once at the beginning of the group they refer to, rather than in every row as needed for the analysis.— Luca Foppoli (@foppoli_luca) December 1, 2020
Many people suggested the window functions, including
lag() and the cumulative functions:
Check out the dplyr window functions, cummin, cummax, cumany and cumall. They don't seen useful at first but they can solve really tricky aggregation problems. https://t.co/aDpXqSB2Vx— Robert Kubinec (@rmkubinec) December 1, 2020