Comments (2)
psychelzh
commented on June 12, 2024
Maybe this is not an issue of dplyr side? It is one feature that summarise() can use variable generated by previous expressions. For example, this will work:
table |>
summarise(word_median = median(word), n = length(word_median))The workaround might be call across() first, and then your other three expressions.
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cobac
commented on June 12, 2024
is one feature that summarise() can use variable generated by previous expressions
Oh, I was not aware of that. Thanks.
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Related Issues (20)
- A very strange error in an edge case
- Allow .by=row_number() in mutate statements HOT 1
- Relocate multiple columns in a pairwise fashion HOT 2
- Feature Request: Add `continuous` parameter to `slice()` or new `slice_continuous()` HOT 1
- bind_rows unexpectedly renames columns
- Deprecation of one of dplyr features in package "ncappc" HOT 3
- c_across() docs imply a dependency on rowwise()
- Variable scoping issue with .data inside lambda Ffunction used in across() HOT 2
- In `select` `!` and `-` work differently HOT 1
- Weird behavior with bind_rows(), mutate(), and ggeffects package
- rank function not working properly after using mean function HOT 1
- summarize() is not equivalent to summarise() HOT 1
- Segfault when using rbind() to combine two rowwise data frames HOT 3
- A proposed function to port plyr::mapvalues() to dplyr HOT 1
- FR: allow `pick()` to rename in `distinct()` + some thoughts about `arrange()` allowing renaming.
- group_by() documentation (v1.1.4) doesn't indicate whether ... is <tidy-select> or <data-masking> (it's <data-masking>)
- Document minus operator in tidy-select and select HOT 3
- case_when inserting NAs instead of new assigned values despite all levels are included HOT 3
- .onLoad setting options
- Inconsistency in Results Using sum(. != 3) within Pipeline Operations (%>%) dplyr version 1.1.4 HOT 4
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