[英]How to use purrr to replace a modifying for loop in R?
I have a dataframe like this:我有一个这样的数据框:
df <- data.frame(
Group = c('A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C'),
Value = c(12, 88, 54, 76, 23, 44, 60, 52, 18)
)
I want to scale each group to a median of 100 and replace the Value
column with the new value so the dataframe looks like this:我想将每个组缩放到 100 的中位数,并用新值替换
Value
列,因此数据框如下所示:
df_desired <- data.frame(
Group = c('A', 'B', 'C', 'A', 'B', 'C', 'A', 'B', 'C'),
Value = c(20, 169.23, 122.73, 126.67, 44.23, 100, 100, 100, 40.91)
)
Using a scale_helper like this:使用像这样的 scale_helper:
scale_helper <- function(x, value) x * value / median(x)
I could do this with a for
loop, but I want to use purrr
instead, if possible.我可以用
for
循环来做到这一点,但如果可能的话,我想改用purrr
。 Is there a straightforward way to do it using purrr
, or is a for
loop the better way to go here?是否有使用
purrr
的直接方法,或者for
循环是更好的方法?
Loop for is not good way, but I don't understand why you want to use purr. Loop for 不是好方法,但我不明白你为什么要使用 purr。 I think, this is good version:
我认为,这是一个很好的版本:
df %>% group_by(Group) %>% mutate(Value = scale_helper(Value, 100)) %>% as.data.frame()
Or you can use data.table.或者你可以使用data.table。 Something like this:
像这样的东西:
as.data.table(df)[, lapply(.SD, scale_helper, 100), keyby = Group]
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