3 回答

TA貢獻(xiàn)1874條經(jīng)驗 獲得超12個贊
DT <- DT %>% mutate(rlid = rleid(grp))
> DT grp value rlid 1: A 1 1 2: A 2 1 3: B 3 2 4: B 4 2 5: C 5 3 6: C 6 3 7: C 7 3 8: A 8 4 9: B 9 510: B 10 5
DT <- DT %>% mutate(rlid = data.table::rleid(grp))
myrleid <- data.table::rleid

TA貢獻(xiàn)1840條經(jīng)驗 獲得超5個贊
如果你只想用R和dplyr,更好的方法是將您自己的一兩行版本的rleid()作為一個函數(shù),然后在需要的時候應(yīng)用它。
library(dplyr)
myrleid <- function(x) {
x <- rle(x)$lengths
rep(seq_along(x), times=x)
}
## Try it out
DT <- DT %>% mutate(rlid = myrleid(grp))
DT
# grp value rlid
# 1: A 1 1
# 2: A 2 1
# 3: B 3 2
# 4: B 4 2
# 5: C 5 3
# 6: C 6 3
# 7: C 7 3
# 8: A 8 4
# 9: B 9 5
#10: B 10 5

TA貢獻(xiàn)1951條經(jīng)驗 獲得超3個贊
lag
dplyr
.
DT <- DT %>% mutate(rleid = (grp != lag(grp, 1, default = "asdf"))) %>% mutate(rleid = cumsum(rleid))
> DT grp value rleid 1: A 1 1 2: A 2 1 3: B 3 2 4: B 4 2 5: C 5 3 6: C 6 3 7: C 7 3 8: A 8 4 9: B 9 510: B 10 5
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