[英]Using dplyr::mutate_at with case_when conditional on another variable
I want to transform a set of variables differently depending on a condition.我想根据条件以不同的方式转换一组变量。 I found a solution here
我在这里找到了解决方案
Example: I want to substract 4 from all variables 'mpg' to 'disp' if 'gear' equals 4, otherwise I substract 3.示例:如果 'gear' 等于 4,我想从所有变量 'mpg' 中减去 4 到 'disp',否则我减去 3。
mtcars %>%
mutate_at(vars(mpg:disp),
funs(case_when(gear == 4 ~ . - 4L, TRUE ~ . -3L)))
But I get this warning:但我收到这个警告:
funs() is soft deprecated as of dplyr 0.8.0
Please use a list of either functions or lambdas:
# Simple named list:
`list(mean = mean, median = median)`
# Auto named with `tibble::lst()`:
`tibble::lst(mean, median)`
# Using lambdas
`list(~ mean(., trim = .2), ~ median(., na.rm = TRUE))`
This warning is displayed once per session.
Is there a better solution to my problem that avoids using funs()
?是否有更好的解决方案可以避免使用
funs()
来解决我的问题?
重现这样做
mtcars %>% mutate_at(vars(mpg:disp), ~ case_when(gear == 4 ~ . - 4L, TRUE ~ . -3L))
声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.