In R, let\'s say I have this data frame:
Data
id date value
2380 10/30/12 21.01
2380 10/31/12 22.04
2380 11/1/12 22.65
2380
You can do this with the ave
function:
data$diff <- ave(data$value, data$id, FUN=function(x) c(0, diff(x)))
data
# id date value diff
# 1 2380 2012-10-30 00:15:51 21.01 0.00
# 2 2380 2012-10-31 00:31:03 22.04 1.03
# 3 2380 2012-11-01 00:16:02 22.65 0.61
# 4 2380 2012-11-02 00:15:32 23.11 0.46
# 5 20100 2012-10-30 00:15:38 35.21 0.00
# 6 20100 2012-10-31 00:15:48 37.07 1.86
# 7 20100 2012-11-01 00:15:49 38.17 1.10
# 8 20100 2012-11-02 00:15:19 38.97 0.80
# 9 20103 2012-10-30 10:27:34 57.98 0.00
# 10 20103 2012-10-31 12:24:42 60.83 2.85
The first argument is the data to be operated on, the second argument is the group, and the last argument is the function to be applied to the data from each group.