async VS r4ds

I would recommend https://www.statlearning.com/ for a more comprehensive overview of the data science landscape, and the book is not horribly technical like most other texts out there with a reasonable coverage of the statistics. For specifics about R, I would recommend https://r4ds.hadley.nz/!

I haven’t checked to make sure exactly, but the GitHub branch for the first edition has the following transform.Rmd file which should align with your first link: https://github.com/hadley/r4ds/blob/first-ed-updates/transform.Rmd

I'm a complete noob to github so I might be doing something wrong, but the only thing I could find was: https://github.com/hadley/r4ds/blob/main/data-transform.qmd . As you might see, the file is different from what I see on the textbook.

I think the file you're looking for is here (i.e. on the branch for the first edition of the book).

The one you linked is the one for the second edition of the book, which is currently being written (and pretty close to completion AFAIK). Just my two cents, but I'd switch to using the second edition for teaching if I were you. It's up to date with the latest changes to the Tidyverse (and there were a lot of changes since the first edition), better written, and uses modern syntax (native pipe, anonymous functions, ...).

I had thought about that as a solution. However, the reason why I felt like there was a way to do it was that, when looking at the book's files directory, which is available on GitHub, it doesn't seem like they did that. Here is the same chapter on the website for comparison. I also took a look at the YAML fronter matter for the chapter, as well as the .yml and .scss files for the book, but I could'nt find anything relating to this. However, I'm very new at .qmd rendering, and so maybe I've missed something ?

The example of the output I want comes for the book R for Data Science (2nd edition) .

R for Data Science (2e) https://r4ds.hadley.nz/

Actually this raises quite an interesting issue (or challenge, if you wish) - 1st edition was published January 2017 but the online version has seen quite many updates and fixes (you can check commits of first-ed-updates branch . To publish those updates, book is re-compiled again, so code blocks get re-evaluated. But many of used packages have seen some changes during those past 5 years, anything between new default values to major (read: breaking) rev steps, for the current state check https://r4ds.had.co.nz/introduction.html#colophon , you'll notice that the 1st issue now uses current R & and latest readr (2.1.3 at the time of writing).