更新时间:2022-01-12 23:09:21
如果您在乎以计数开头的名称。您可以在dplyr管道中这样做:
If you care about the names starting with "counts." you could do it like this in a dplyr pipe:
md %>%
group_by(device) %>%
summarise_each_(funs(sum(.==5,na.rm=TRUE)), myvars) %>%
setNames(c(names(.)[1], paste0("counts.", myvars)))
#Source: local data frame [3 x 4]
#
# device counts.a counts.b counts.c
#1 1 1 2 0
#2 2 0 1 0
#3 3 1 0 2
还有另一个关于如何命名dplyr的 mutate_each
产生的新列的问答(其行为与 summarise_each
)在这里:dplyr中的 mutate_each:如何选择某些列并为突变列赋予新名称?。
There's another Q&A about how one can name new columns produced by dplyr's mutate_each
(which behaves the same way as summarise_each
) here: mutate_each in dplyr: how do I select certain columns and give new names to mutated columns?.