[英]dplyr mutate_at but using any instead of all
I want to use mutate_at(col_names,as.numeric)
but sometimes a column isn't included in the dataframe.我想使用
mutate_at(col_names,as.numeric)
但有时 dataframe 中不包含列。 For example the following works fine:例如以下工作正常:
df <- data.frame('a'=c('1','2','3'),
'b'=c('1','2','3'),
'c'=c(1,2,3),
'd'=c('1','2','3'))
col_names=c('a','b','d')
df |> mutate_at(col_names,as.numeric)
But if instead I swap out one of the col_names for something that isn't there, I get an error:但是,如果我将其中一个 col_names 换成不存在的东西,则会出现错误:
col_names=c('a','b','frog')
df |> mutate_at(col_names,as.numeric)
Error: Can't subset columns that don't exist.
x Column `frog` doesn't exist.
Ultimately I think what I'm looking for is something like mutate_any().最终我认为我正在寻找的是像 mutate_any() 这样的东西。
mutate_at
has been deprecated, across()
is now preferred which works with the any_of()
and all_of()
helper functions (and other select helpers). mutate_at
已被弃用,现在首选 cross(),它与across()
any_of()
和all_of()
辅助函数(以及其他 select 辅助函数)一起使用。
df |> mutate(across(any_of(col_names), as.numeric))
See the ?across
help page for more options and examples.有关更多选项和示例,请参阅
?across
帮助页面。
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