I have a folder with several files where the name of each file is the respective userID. Something like this:
Time Sms
1 2012-01-01 00:00:00 10
2 2012-01-01 00:30:00 11
3 2012-01-01 01:00:00 13
4 2012-01-01 01:30:00 10
How can i aggretate by moth, week, hour and minute? Something like this:
Month DayofWeek hour min SMS
1 Mon 0 0 14 <-mean
1 Mon 0 30 12
1 Mon 1 0 17
1 Mon 1 30 21
.............................
12 Sunday 23 30 12
I had a similar issue aggregating hourly data into daily data. This is the code that worked for me.
fun <- function(s,i,j) { sum(s[i:(i+j-1)]) }
radday<-sapply(X=seq(1,24*nb_of_days,24),FUN=fun,s=your_time_series,j=24)
This sums data across a period j
, which in my case since I was summing over 24 hours was 24. By changing the j
value you can adjust it for your different periods of hour, day, week, month assuming that you have a constant period.
thanks for the help. I solved my problem by applying this code:
df<-aggregate(Sms~month(Time)+weekdays(Time)+hour(Time)+minute(Time),df,FUN='mean')
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