从头到尾计算cumsum
Calculate cumsum from the end towards the beginning
我正在尝试计算每个组从最后一行到第一行的 cumsum
。
示例数据:
t1 <- data.frame(var = "a", val = c(0,0,0,0,1,0,0,0,0,1,0,0,0,0,0))
t2 <- data.frame(var = "b", val = c(0,0,0,0,1,0,0,1,0,0,0,0,0,0,0))
ts <- rbind(t1, t2)
所需格式(按 var
分组):
ts <- data.frame(var = c("a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a",
"b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b"),
val = c(2,2,2,2,2,1,1,1,1,1,0,0,0,0,0,2,2,2,2,2,1,1,1,0,0,0,0,0,0,0))
将我的评论提升为答案;使用:
ts$val2 <- ave(ts$val, ts$var, FUN = function(x) rev(cumsum(rev(x))))
给出:
> ts
var val val2
1 a 0 2
2 a 0 2
3 a 0 2
4 a 0 2
5 a 1 2
6 a 0 1
7 a 0 1
8 a 0 1
9 a 0 1
10 a 1 1
11 a 0 0
12 a 0 0
13 a 0 0
14 a 0 0
15 a 0 0
16 b 0 2
17 b 0 2
18 b 0 2
19 b 0 2
20 b 1 2
21 b 0 1
22 b 0 1
23 b 1 1
24 b 0 0
25 b 0 0
26 b 0 0
27 b 0 0
28 b 0 0
29 b 0 0
30 b 0 0
或 dplyr
或 data.table
:
library(dplyr)
ts %>%
group_by(var) %>%
mutate(val2 = rev(cumsum(rev(val))))
library(data.table)
setDT(ts)[, val2 := rev(cumsum(rev(val))), by = var]
没有显式反转向量的选项:
ave(ts$val, ts$var, FUN = function(x) Reduce(sum, x, right = TRUE, accumulate = TRUE))
[1] 2 2 2 2 2 1 1 1 1 1 0 0 0 0 0 2 2 2 2 2 1 1 1 0 0 0 0 0 0 0
或与dplyr
相同的方法:
ts %>%
group_by(var) %>%
mutate(val = Reduce(sum, val, right = TRUE, accumulate = TRUE))
我正在尝试计算每个组从最后一行到第一行的 cumsum
。
示例数据:
t1 <- data.frame(var = "a", val = c(0,0,0,0,1,0,0,0,0,1,0,0,0,0,0))
t2 <- data.frame(var = "b", val = c(0,0,0,0,1,0,0,1,0,0,0,0,0,0,0))
ts <- rbind(t1, t2)
所需格式(按 var
分组):
ts <- data.frame(var = c("a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a",
"b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b", "b"),
val = c(2,2,2,2,2,1,1,1,1,1,0,0,0,0,0,2,2,2,2,2,1,1,1,0,0,0,0,0,0,0))
将我的评论提升为答案;使用:
ts$val2 <- ave(ts$val, ts$var, FUN = function(x) rev(cumsum(rev(x))))
给出:
> ts var val val2 1 a 0 2 2 a 0 2 3 a 0 2 4 a 0 2 5 a 1 2 6 a 0 1 7 a 0 1 8 a 0 1 9 a 0 1 10 a 1 1 11 a 0 0 12 a 0 0 13 a 0 0 14 a 0 0 15 a 0 0 16 b 0 2 17 b 0 2 18 b 0 2 19 b 0 2 20 b 1 2 21 b 0 1 22 b 0 1 23 b 1 1 24 b 0 0 25 b 0 0 26 b 0 0 27 b 0 0 28 b 0 0 29 b 0 0 30 b 0 0
或 dplyr
或 data.table
:
library(dplyr)
ts %>%
group_by(var) %>%
mutate(val2 = rev(cumsum(rev(val))))
library(data.table)
setDT(ts)[, val2 := rev(cumsum(rev(val))), by = var]
没有显式反转向量的选项:
ave(ts$val, ts$var, FUN = function(x) Reduce(sum, x, right = TRUE, accumulate = TRUE))
[1] 2 2 2 2 2 1 1 1 1 1 0 0 0 0 0 2 2 2 2 2 1 1 1 0 0 0 0 0 0 0
或与dplyr
相同的方法:
ts %>%
group_by(var) %>%
mutate(val = Reduce(sum, val, right = TRUE, accumulate = TRUE))