'cumsum with a condition to restart in R
I have this dataset containing multiple columns. I want to use cumsum() on a column conditioning the sum on another column. That is when X happens I want the sum to restart from zero but, I want to sum also the number of the "x" event row. I'll be more precise here in an example.
inv ass port G cumsum(G)
i x 2 1 1
i x 2 0 1
i x 0 1 2
i x 3 0 0
i x 3 1 1
So in the 3rd row the condition port == 0 happens. I want to cumsum(G), but on the 3rd row i want to still sum the value of G and to restart the count from the following row.
I'm using dplyr to group_by(investor, asset) but I'm stuck here since I'm doing:
res1 <- res %>%
group_by(investor, asset) %>%
mutate(posdays = ifelse(operation < 0 & portfolio == 0, 0, cumsum(G))) %>%
ungroup()
Since this restart the cumsum() but excludes the sum of the 3rd row. I think something saying "cumsum(G) but when condition "x" in the previous row, restart the sum in the following row".
Can you help me?
Solution 1:[1]
You may use cumsum to create groups as well.
library(dplyr)
df <- df %>%
group_by(group = cumsum(dplyr::lag(port == 0, default = 0))) %>%
mutate(cumsum_G = cumsum(G)) %>%
ungroup
df
# inv ass port G group cumsum_G
# <chr> <chr> <int> <int> <dbl> <int>
#1 i x 2 1 0 1
#2 i x 2 0 0 1
#3 i x 0 1 0 2
#4 i x 3 0 1 0
#5 i x 3 1 1 1
You may remove the group column from output using %>% select(-group).
data
df <- structure(list(inv = c("i", "i", "i", "i", "i"), ass = c("x",
"x", "x", "x", "x"), port = c(2L, 2L, 0L, 3L, 3L), G = c(1L,
0L, 1L, 0L, 1L)), class = "data.frame", row.names = c(NA, -5L))
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | Ronak Shah |
