Comments (3)
hadley
commented on June 23, 2024
The problem is that gather creates data frames with duplicated column names:
df <- data.frame(x = 1:2, y = 1:2)
names(gather(df, x, x, x))
#> [1] "y" "x" "x"from tidyr.
brendan-r
commented on June 23, 2024
Yup. Perhaps not a bug at all, just a different usage style from base R that confused me!
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hadley
commented on June 23, 2024
I think this mostly because of a printing bug in dplyr. I now see:
Source: local data frame [12 x 3]
Species Species value
(fctr) (chr) (dbl)
1 setosa sepal_l 5.006
which should make the problem more obvious.
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Related Issues (20)
- convert option for separate_wider_* HOT 1
- Generality of nest, which fails depending on the number of rows. Applying nest to tibble of 0 rows HOT 1
- "align both" in separate_wider_* HOT 3
- Consider changing dplyr suggestion in pivot_wider to use .by HOT 1
- testthat tests failing HOT 4
- FR: Provide optional argument to `tsibble::fill_gaps` to specify desired interval. HOT 2
- Feature Request: Allow across() for column selection in complete() HOT 4
- value in gather cannot be the same as any of the original dataset variables HOT 1
- `crossing()` adds missing factor levels (either a bug or a documentation issue)
- Upkeep for tidyr (2023)
- Make `separate_longer_*()` and `separate_wider_*()` generics?
- `pivot_longer` converts variable labels to new value labels HOT 1
- Release tidyr 1.3.1
- separate_wider_delim changes input column names when using names_sep with cols_remove=FALSE
- Change in pivot_wider behavior and error messages when using column numbers for `id_cols` HOT 1
- Feature request: function count the missing value
- Feature request: `.vary` in `expand_grid()`
- Solutions for a crowded namespace: selective removal of items? Any better ideas?
- int64 summation fails HOT 3
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