R - calculating time per unit using data.table -

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thanks helping me out in advance.i have data looks this.
code , data:

zz <- "srno process username    activityname    units   starttime       1 xyz usera   activity1   2   '8/10/2017 11:40:37 am'       2 xyz usera   activity1   2   '8/10/2017 11:41:39 am'       3 xyz usera   activity1   2   '8/10/2017 11:42:41 am'       4 xyz usera   activity2   3   '8/10/2017 11:43:44 am'       5 xyz usera   activity2   3   '8/10/2017 11:49:37 am'       6 xyz usera   activity1   2   '8/10/2017 11:54:21 am'       7 xyz usera   activity1   2   '8/10/2017 11:58:21 am'       8 xyz usera   activity2   4   '8/10/2017 11:59:21 am'"      dt1 <- read.table(text= zz,header = true)      library(lubridate)       dt1$starttime <- mdy_hms(dt1$starttime)       dt1$units<- as.numeric(dt1$units)       dt1$endtime <- c(dt1$starttime[-1],dt1$starttime[length(dt1)])       dt1$timeinsecs <- dt1$endtime- dt1$starttime      library(data.table)       dt1<- data.table(dt1)       calculatedsummary = dt1[,.(sum(timeinsecs)),by=.(process,username,activityname,units)]       calculatedsummary$timeperunit <- calculatedsummary$v1/calculatedsummary$units

my expected output. 

 + process username activityname units timeinsec timeperunit     + xyz      usera   activity1     4      487    121.75     + xyz      usera   activity2     7      637    91.14

but instead getting output 

+ process username activityname units v1   timeperunit   + xyz     usera    activity1    2     487  243.5   + xyz     usera    activity2    3     637  212.33    + xyz     usera    activity2    4     0    0

can pls in getting faster database quite big , increasing on daily basis.





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