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Hi people, I´m trying to development a simple routine to run many Arima models result from some parâmeters combination. My data test have one year and daily level. A part of routine is: for ( d in 0:1 ) { for ( p in 0:3 ) { for ( q in 0:3 ) { for ( sd in 0:1 ) { for ( sp in 0:3 ) { for ( sq in 0:3 ) {

Hi users. I'm new user in R. I'm workiing with Time series and I would like to know how can I do to undo the command DIFF(X), for exemple: If I have the model: m=arima(X, order=c(0,1,1), seasonal=list(order=c(0,0,1))) (note that have d=1 one difference), to find, in the same scale, the original numbers (like one "unDiff"), after the forecast, I need to develop some function or in

Hi everyone Please, I need one more help you I have some data that need to make a forecast. I´m using the command: Yst<-print(ts<-ts(Y,start=c(1,5),freq=7),calendar=T) to create the dayly time series by the dataframe Y. My data Y means: Y=measure dayly , start at 01/jul/2010 (thursday), for this reason that I use c(1,5). I need to create the time series aggregate by weakly (and not dayly as