• Documenting #rstats posts
• Examples
  • Julia Silge Blog
  • David Robinson Tidy Tuesday
  • R for Data Science Chapters
  • Bryan Shalloway Blog

Documenting #rstats posts

I was inspired by a few tweets I saw documenting the methods used in posts by popular #rstats communicators/developers:

To try and learn #tidymodels I made a list of examples of using each engine, etc, by @juliasilge, @topepos, and @Emil_Hvitfeldt. It’s far from exhaustive, and in progress, but has helped a ton. #rstats https://t.co/yqecIo7CUS

— Jeff Rothschild (@EatsleepfitJeff) October 19, 2021

Anyone other #rstats people find @drob‘s #TidyTuesday screencasts useful?

I made a spreadsheet with timestamps for hundreds of specific tasks he does: https://t.co/HvJbLk1chd

Useful if, like me, you keep going back and ask, “Where in the video did he do [this thing] again?”

— Alex Cookson (@alexcookson) January 13, 2020

As a complement to these resources, I thought it’d be helpful to see precisely which functions and packages were used in each post. See Julia Silge Blog and David Robinson Tidy Tuesday for tables containing the unique functions and associated packages used in each of their posts. I also created tables for functions in the R for Data Science Chapters and Bryan Shalloway Blog.

These Examples were made using the funspotr package that provides helpers for identifying R functions & packages in self-contained R files and associated github repositories. See funspotr website for documentation on how to apply funspotr to #rstats file(s) or repos¹ as well as to see how the package works and current limitations. Message me if you use funspotr or feel free to open an issue if you’d be interested in adding additional funspotr-examples that I can link to!

Examples

The files in the github repos below were parsed and saved in funspotr-examples² – specifically using R/save-examples.R to parse each file and record each instance of a function’s use to data/funs³.

Below, I only return the first use of a function in each post⁴ – except for R for Data Science Chapters where I only show the first use of a function across the entire book⁵.

library(dplyr)
library(readr)
library(DT)

readr::read_csv("https://raw.githubusercontent.com/brshallo/funspotr-examples/main/data/funs/jsilge-blog-funs-20220114.csv") %>% 
  distinct() %>% 
  DT::datatable(rownames = FALSE,
              class = 'cell-border stripe',
              filter = 'top',
              escape = FALSE,
              options = list(pageLength = 10))