Displaying 1 result from an estimated 1 matches for "avgdemand".
2011 Jul 06
1
Group Data indexed by n Variables
...a more versatile way to do this
would be nice.
Thanks
Paolo.
Days = format(as.Date(Data[["GasDays"]], format = "%d/%m/%Y"), "%d")
Months = format(as.Date(Data[["GasDays"]], format = "%d/%m/%Y"), "%m")
MonthDayCombs = paste(Months, Days)
AvgDemand = data.matrix(by(Data$RescaledDemand, DayMonthCombs, mean))
On 4 July 2011 10:34, EdBo <n.bowora@gmail.com> wrote:
> Hi
>
> May you help me correct my loop function.
>
> I want optim to estimates al_j; au_j; sigma_j; b_j by looking at 0 to 20,
> 21 to 40, 41 to 60 data...