On Jan 28, 2011, at 3:07 PM, Ottar Kvindesland wrote:
Hello all
I have the data frame with this:
ID DATETIME TRN TRN_S
1 1192756 2010-06-23 15:39:07 13.420 0.2236667
2 1192757 2010-06-23 15:40:07 13.805 0.2300833
3 1192758 2010-06-23 15:41:07 13.860 0.2310000
4 1192759 2010-06-23 15:42:07 13.750 0.2291667
5 1192760 2010-06-23 15:43:07 13.530 0.2255000
6 1192761 2010-06-23 15:44:07 13.805 0.2300833
Now, I would like to plot a graph with DATETIME and the accumulated
TRN_S.
I can run a while loop like this:
accumulated_trns <- 0
last_value <-length(data$TRN_S)
while (i < last_value) {
acc_trns <- acc_trns + data$TRN_S[i]
data$accumulated_trns[i] <- acc_trns
i <- i + 1
}
data$accumulated_trns[i] <- acc_trns
plot(data$DATETIME, data$accumulated_trns)
Perhaps:
plot(data$DATETIME, cumsum(data$TRN_S) )
Can probably also be generalized to cumulative sums within IDs using
ave() or tapply().
This is slow and demanding on the computer.
There must be a better way to accumulate values! Any suggestion
greatly
appreciated.
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