I have a bit of a question about computing the Rolling Mean/standard deviation based on conditions. To be honest it is more of a syntax question, but since I think it is slo
I think your problem is your use of the := function and that you use DT inside the square brackets. I assume your setup is something like:
> library(data.table)
> set.seed(83385668)
> DT <- data.table(
+ x = rnorm(5 * 3),
+ stock = c(sapply(letters[1:3], rep, times = 5)),
+ time = c(replicate(3, 1:5)))
> DT
x stock time
1: 0.25073356 a 1
2: -0.24408170 a 2
3: -0.87475856 a 3
4: 0.50843761 a 4
5: -1.91331773 a 5
6: 0.07850094 b 1
7: -0.15922989 b 2
8: 1.09806870 b 3
9: 0.27995610 b 4
10: 0.45090842 b 5
11: 0.03400554 c 1
12: -0.34918734 c 2
13: 2.16602740 c 3
14: -0.04758261 c 4
15: 1.24869663 c 5
I am not sure where the roll_sd function is from. However, you can compute e.g. a rolling mean with the zoo library as follows:
> library(zoo)
> setkey(DT, stock, time) # make sure data is sorted by time
> DT[, rollmean := rollmean(x, k = 3, fill = 0, align = "right"),
+ by = .(stock)]
> DT
x stock time rollmean
1: 0.25073356 a 1 0.0000000
2: -0.24408170 a 2 0.0000000
3: -0.87475856 a 3 -0.2893689
4: 0.50843761 a 4 -0.2034676
5: -1.91331773 a 5 -0.7598796
6: 0.07850094 b 1 0.0000000
7: -0.15922989 b 2 0.0000000
8: 1.09806870 b 3 0.3391132
9: 0.27995610 b 4 0.4062650
10: 0.45090842 b 5 0.6096444
11: 0.03400554 c 1 0.0000000
12: -0.34918734 c 2 0.0000000
13: 2.16602740 c 3 0.6169485
14: -0.04758261 c 4 0.5897525
15: 1.24869663 c 5 1.1223805
or equivalently
> DT[, `:=`(rollmean = rollmean(x, k = 3, fill = 0, align = "right")),
+ by = .(stock)]
> DT
x stock time rollmean
1: 0.25073356 a 1 0.0000000
2: -0.24408170 a 2 0.0000000
3: -0.87475856 a 3 -0.2893689
4: 0.50843761 a 4 -0.2034676
5: -1.91331773 a 5 -0.7598796
6: 0.07850094 b 1 0.0000000
7: -0.15922989 b 2 0.0000000
8: 1.09806870 b 3 0.3391132
9: 0.27995610 b 4 0.4062650
10: 0.45090842 b 5 0.6096444
11: 0.03400554 c 1 0.0000000
12: -0.34918734 c 2 0.0000000
13: 2.16602740 c 3 0.6169485
14: -0.04758261 c 4 0.5897525
15: 1.24869663 c 5 1.1223805