r - Calculating time spent on categories -


i have category string follows:

categoryvector <- c("1_100_1_2_3")

i have time corresponding each category:

timevector <- c("2013-03-07 05:16:50,617_2013-03-07 05:19:24,984_2013-03-07 05:21:06,002_2013-03-07 05:21:06,833_2013-03-07 05:21:10,713")

i calculate time spent on categories 1 , 2

time spent in category 1: (time in 100 - time in 1) + (time on 2 - time on 1) time spent in category 2: time on 3 - time on 2

i need repeat these calculations 200k+records. there efficient way in r?

 inp <- read.table(text=gsub("_", "\n", timevector), sep=",")  inp$v1 <- as.posixct(inp$v1)  inp2 <- read.table(text=gsub("_", "\n", categoryvector))  inp$diffs <- c( difftime(inp$v1[-1], inp$v1[-nrow(inp)]), na) inp <- cbind(inp,inp2)                    v1  v2 diffs  v1 1 2013-03-07 05:16:50 617   154   1 2 2013-03-07 05:19:24 984   102 100 3 2013-03-07 05:21:06   2     0   1 4 2013-03-07 05:21:06 833     4   2 5 2013-03-07 05:21:10 713    na   3 # should rename columns  tapply(inp$diffs, inp[,4], sum, na.rm=true) #  1   2   3 100  #154   4   0 102

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