R - 计数有序序列[重复]答案

【问题标题】：R - count ordered sequence [duplicate]R - 计数有序序列[重复]
【发布时间】：2016-05-17 05:46:35
【问题描述】：

我无法按顺序计算变量的值。

我的数据是这样的

   IDPERS    value year divorce
1  371102  married    1       0
2  371102 divorced    2       1
3  371102 divorced    3       1
4  371102       NA    4       0
5  371102 divorced    5       1
6  371102 divorced    6       1
7  371102       NA    7       0
8  371102       NA    8       0
9  371102 divorced    9       1
10 371102 divorced   10       1
11 371102 divorced   11       1

我想要的，是算离婚比如

   IDPERS    value year divorce divorceEp
1  371102  married    1       0         0
2  371102 divorced    2       1         1
3  371102 divorced    3       1         2
4  371102       NA    4       0         2
5  371102 divorced    5       1         3
6  371102 divorced    6       1         4
7  371102       NA    7       0         4
8  371102       NA    8       0         4
9  371102 divorced    9       1         5
10 371102 divorced   10       1         6
11 371102 divorced   11       1         7

有什么线索可以正确计算这一系列剧集吗？

library(dplyr)
dta %>% mutate(1:sum(divorce))

谢谢

dta = structure(list(IDPERS = c(371102, 371102, 371102, 371102, 371102, 
371102, 371102, 371102, 371102, 371102, 371102), value = c("married", 
"divorced", "divorced", "NA", "divorced", "divorced", "NA", "NA", 
"divorced", "divorced", "divorced"), year = 1:11, divorce = c(0, 
1, 1, 0, 1, 1, 0, 0, 1, 1, 1), divorceEp = c(0, 1, 2, 2, 3, 4, 
4, 4, 5, 6, 7)), class = "data.frame", .Names = c("IDPERS", "value", 
"year", "divorce", "divorceEp"), row.names = c(NA, -11L))

【问题讨论】：

标签： r count dplyr

【解决方案1】：

你可以使用cumsum():

mutate(dta,divorceEp=cumsum(divorce))
   IDPERS    value year divorce divorceEp
1  371102  married    1       0         0
2  371102 divorced    2       1         1
3  371102 divorced    3       1         2
4  371102       NA    4       0         2
5  371102 divorced    5       1         3
6  371102 divorced    6       1         4
7  371102       NA    7       0         4
8  371102       NA    8       0         4
9  371102 divorced    9       1         5
10 371102 divorced   10       1         6
11 371102 divorced   11       1         7

【讨论】：