[英]Result type for group 1`` Error when using factor in dplyr mutate
以下代碼向我拋出了一個錯誤:
dfTest <- structure(list(Year = c(2018, 2018, 2018, 2018, 2018, 2018, 2018,
2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019, 2019, 2019, 2019,
2019, 2019, 2019, 2019, 2020, 2020, 2020, 2020, 2020, 2020, 2020,
2020, 2020, 2020, 2020, 2021, 2021, 2021, 2021, 2021, 2021, 2021,
2021, 2021, 2021, 2021)),
class = c("grouped_df", "tbl_df", "tbl", "data.frame"),
row.names = c(NA, -44L),
groups = structure(list(
Year = c(2018, 2019, 2020, 2021),
.rows = structure(list( 1:11, 12:22, 23:33, 34:44),
ptype = integer(0), class = c("vctrs_list_of", "vctrs_vctr", "list"))),
class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, -4L), .drop = TRUE))
dfTest %>% mutate(Year = factor(Year, ordered = T))
錯誤是
Error in `mutate()`:
! Problem while computing `Year = factor(Year, ordered = T)`.
Caused by error:
! `Year` must return compatible vectors across groups.
ℹ Result type for group 1 (Year = 2018): <ordered<a0764>>.
ℹ Result type for group 2 (Year = 2019): <ordered<4e60d>>.
Run `rlang::last_error()` to see where the error occurred.
我沒有立即在網上找到答案,所以我認為這可能會引起社區的興趣。
這里的問題似乎是嘗試對grouped
變量使用factor
函數會導致錯誤。 只需添加一個ungroup
步驟即可解決問題:
dfTest <- structure(list(Year = c(2018, 2018, 2018, 2018, 2018, 2018, 2018,
2018, 2018, 2018, 2018, 2019, 2019, 2019, 2019, 2019, 2019, 2019,
2019, 2019, 2019, 2019, 2020, 2020, 2020, 2020, 2020, 2020, 2020,
2020, 2020, 2020, 2020, 2021, 2021, 2021, 2021, 2021, 2021, 2021,
2021, 2021, 2021, 2021)),
class = c("grouped_df", "tbl_df", "tbl", "data.frame"),
row.names = c(NA, -44L),
groups = structure(list(
Year = c(2018, 2019, 2020, 2021),
.rows = structure(list( 1:11, 12:22, 23:33, 34:44),
ptype = integer(0), class = c("vctrs_list_of", "vctrs_vctr", "list"))),
class = c("tbl_df", "tbl", "data.frame"), row.names = c(NA, -4L), .drop = TRUE))
dfTest %>%
ungroup %>%
mutate(Year = factor(Year, ordered = T))
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