Hadley Wickham

Newly detected failures: * macleish (from etl) * moodleR * sejmRP * sergeant * sparklyr, sparklyr.flint * taxizedb * vegdata * wordbankr This pushes it to the point where I...

Minimal reprex: ``` r library(dplyr, warn.conflicts = FALSE) df 1) #> # A tibble: 1 × 2 #> x y[,1] #> #> 1 2 2 df 1) #> Error in...

Slightly tricky because need to generate deprecation in C: https://github.com/tidyverse/dplyr/blob/main/src/filter.cpp#L67-L73 When fixing, should also update the other deprecations to use lifecycle: https://github.com/tidyverse/dplyr/blob/main/src/filter.cpp#L120-L125.

I _think_ that only helps package authors a little, and still generates confusion for end users. This is the main problem: ```R > dplyr::summarise(mean) Error in UseMethod("summarise_") : no applicable...

I was thinking removing altogether, but I think your suggestion to just remove the default method is better, and then we can remove all the verbs in a bigger release.

I tried hard deprecating in July 2022 (#6366) but there were 100+ failures. I think the next step is convert these to always warn (#6387) and consider again in a...

The intent was to generate `map(x, lm, formula = mpg ~ wt)`

This exercise has been removed since we're moving away from teaching general iteration in favour of teaching a few specific use cases.

Minimal reprex: ``` r library(dplyr, warn.conflicts = FALSE) df % mutate(x = f()) ) #> process real #> 3s 3.6s ``` (Note that you can't run this with the reprex...

@lionel- I like that idea.