# Identifying R Functions & Packages Used in GitHub Repos

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TLDR: funspotr provides helpers for spotting the functions and packages in R and Rmarkdown files and associated github repositories. See Examples for catalogues of the functions/packages used in posts by Julia Silge, David Robinson, and others.

# 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?

— Alex Cookson (@alexcookson) January 13, 2020

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?”

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 repos^{1} 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-examples^{2} – specifically using R/save-examples.R to parse each file and record each instance of a function’s use to data/funs^{3}.

Below, I only return the first use of a function in each post^{4} – except for R for Data Science Chapters where I only show the first use of a function across the entire book^{5}.

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

## Julia Silge Blog

Also posted table to google drive **here.**

The following package dependencies were not installed locally during parsing. Any function from these packages (along with any custom functions) will most likely be assigned `pkgs = "(unknown)"`

:

Lingua; EN; silgelib; packagesurvey; drlib; sqlstackr; tvthemes; parttree

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))

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