This is a noob's observation of R, Tidyverse and Stringr. But wow, why can some datasets open in notepad or Windows file preview or excel in 1 second but takes minutes or hours to show up in str_view_all?

#R, #Tidyverse, #Stringr

One night I got bored and wanted to list out all of the #functions and their #parameters from my #r #package {TidyDensity}

So I got to work with #dplyr #purrr #stringr and some #baser #functions

The steps I took:

✔ use ls() to list all packages from "package:PackageName"

✔ use group_by() to group on the fns column created above

✔ use #purrr #map to get the #methods formalArgs to all fns

✔ drop the c and paste0 fns, (, params and the ending )

Post: https://www.spsanderson.com/steveondata/posts/rtip-2022-12-22/

The {stringr} #rstats 📦 gets a function to convert a character vector into a single, comma-separated string *with custom wording before the last item.* (I've been using knits::combine_words() for that.)

Example from the tidyverse blog post about stringr 1.5.0:

str_flatten_comma(c("cats", "dogs", "mice"), last = ", and ")

#> [1] "cats, dogs, and mice"

https://www.tidyverse.org/blog/2022/12/stringr-1-5-0/

#OxfordComma #tidyverse #stringr