??"cumulative sum" would almost certainly lead you to cumsum with only
a modicum of effort
Michael
On Wed, Dec 7, 2011 at 5:13 PM, Giovanni Azua <brave...@gmail.com> wrote:
> Hello,
>
> I have a data frame that looks like this (containing interarrival times):
>
>> str(df)
> 'data.frame': 18233 obs. of 1 variable:
> $ Interarrival: int 135 806 117 4 14 1 9 104 169 0 ...
>> head(df)
> Interarrival
> 1 135
> 2 806
> 3 117
> 4 4
> 5 14
> 6 1
>>
>
> This corresponds to the time differences (in ms) of a poisson arrival process
> where Interarrival{i+1} = time_{i+1} - time_{i}
>
> I want to get the Time bin (in minutes) of every interarrival basically
> something like:
>
> 1) df$Time <- sum(of all df$Interarrival up to "this rownum") # cumulative sum
>
> 2) df$Time <- floor(df$Time / 60000) + 1
>
> then I should get the first minute of Interarrival having 1 and so forth. The
> problem is I have no idea how to accomplish 1) in R.
>
> Can anyone advice?
>
> Thanks in advance,
> Best regards,
> Giovanni
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