我有一个数据集,我想按组生成行位置。例如
library(data.table)
data<-data.table(Position=c(1,2,3,4,5,6,7,8,9,10),
Category=c("M","M","M","M","F","F","F","M","M","F"))
我按类别进行分组,并希望按组创建作为行位置的列。像下面的东西或data.table
dataByGroup %>% group_by(Category) %>% mutate(positionInCategory = 1:nrow(Category))
无法弄清楚如何实现这一目标?
期望的输出:
| Position|Category | positionInCategory|
|--------:|:--------|------------------:|
| 1|M | 1|
| 2|M | 2|
| 3|M | 3|
| 4|M | 4|
| 5|F | 1|
| 6|F | 2|
| 7|F | 3|
| 8|M | 5|
| 9|M | 6|
| 10|F | 4|
答案 0 :(得分:21)
尝试以下方法:
library(data.table)
library(dplyr)
data<-data.table(Position=c(1,2,3,4,5,6,7,8,9,10),
Category=c("M","M","M","M","F","F","F","M","M","F"))
cleanData <- data %>%
group_by(Category) %>%
mutate(positionInCategory = 1:n())
答案 1 :(得分:6)
尝试
data[, new := rowid(Category)]
# or, if you're using 1.9.6 or older
data[, new := 1:.N, by=Category]
Position Category new
1: 1 M 1
2: 2 M 2
3: 3 M 3
4: 4 M 4
5: 5 F 1
6: 6 F 2
7: 7 F 3
8: 8 M 5
9: 9 M 6
10: 10 F 4
要使用rowid
,您目前需要unstable/devel version of the package。