Reputation: 485
I've a data frame like this
w<-c(0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0)
i would like an index position starting after value 1.
output : NA,NA,NA,NA,NA,1,2,3,4,5,6,7,1,2,3,4,5,1,2,3,4,5,6,7,8,9
ideally applicable to a data frame.
Thanks
edit : w is a data frame,
roughly this function
m<-as.data.frame(w)
m[m!=1] <- row(m)[m!=1]
m
w
1 1
2 2
3 3
4 4
5 5
6 1
7 7
8 8
9 9
10 10
11 11
12 12
13 1
14 14
15 15
16 16
17 17
18 1
19 19
20 20
21 21
22 22
23 23
24 24
25 25
26 26
but with a return to 1 when value 1 is matching.
> m
w wanted
1 1 NA
2 2 NA
3 3 NA
4 4 NA
5 5 NA
6 1 1
7 7 2
8 8 3
9 9 4
10 10 5
11 11 6
12 12 7
13 1 1
14 14 2
15 15 3
16 16 4
17 17 5
18 1 1
19 19 2
20 20 3
21 21 4
22 22 5
23 23 6
24 24 7
25 25 8
26 26 9
Thanks
Upvotes: 3
Views: 3269
Reputation: 2897
For the given data including repeated 1's and non-sequential input, the following works:
m[9,1] <- 100
m[3,1] <- 55
m[14,1] <- 60
m[14,1] <- 60
m[25,1] <- 1
m[19,1] <- 1
m$result <- 1:nrow(m) - which(m$w == 1)[cumsum(m$w == 1)] + 1
But if the data does not start on 1:
m[1,1] <- 2
Then this works:
firstone <- which(m$w == 1)[1]
subindex <- m[firstone:nrow(m),'w'] == 1
m$result <- c(rep(NA,firstone-1),1:length(subindex) - which(subindex)[cumsum(subindex)] + 1)
Upvotes: 1
Reputation: 887118
This assumes that the data is ordered in the way shown in example.
m$wanted <- with(m, ave(w, cumsum(c(TRUE,diff(w) <0)), FUN=seq_along))
m$wanted
#[1] 1 2 3 4 5 1 2 3 4 5 6 7 1 2 3 4 5 1 2 3 4 5 6 7 8 9
Upvotes: 2