tidyeval
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tidyverse
A guide to tidy evaluation
Would it be possible to add some very brief examples for using rlang with `dplyr::select` and `dplyr::filter`. I appreciate they are still "to do". From an educational perspective it would...
@jimhester suggested: * `tidy_capture()` and `tidy_capture_dots()` for `enquo()` and `enquos()` * `tidy_build()` for `expr()` * `tidy_eval()` for `eval_tidy()` But we should consider all functions used in the book before providing...
* `ensyms()` not appropriate as the symbols will still be looked up inside the execution env of the user's wrapper, all the way up to the search path. * Do...
In this line: https://github.com/tidyverse/tidyeval/blob/7844627232e24c457c0ecdc9b6c716de61c80ec3/introduction.Rmd#L275 you say: > We have already mentioned the vectorisation of toupper(), and many other functions in R are vectorised. But I have not found this mention....
I wrote this for Advanced R, but it doesn't feel quite right there. I think it might be better in the programming with dplyr vignette (whatever that ends up being)...
I recommend that you gather all the "visibility", "printing", and "debugging" strategies in one place and make it very discoverable. One of my tidy eval learning challenges is that my...
Capture the essence of this twitter discussion somewhere: https://twitter.com/JennyBryan/status/1088859123658018816 Summary: `enquo()` is a better all-purpose default quotation mechanism to recommend than `ensym()`. That is, if you're only going to learn...
I think the content is growing enough that it would be easier to work with this if each chapter got its own Rmd file.
Data is often the most relevant scope for a data analyst. That's why users are sometimes tempted to use `attach()`. But `attach()` is bad for the same reason that global...
```r mutate_front #> 1 1.72 [8,35] Luke… 172 77 blond fair #> 2 1.67 (72,896] C-3PO 167 75 NA gold #> 3 0.96 [8,35] R2-D2 96 32 NA white, bl…...