Hello users. I need a help again, please?
I runned my Arima model using difference order = 7 * Y2=diff(Yst[,2],differences = 7)* Yfit=arima(Yst2,order=c(3,0,0),seasonal=list(order=c(0,0,0),period=7),include.mean=TRUE) and forecast Yfor=forecast.Arima(Yfit, h=31) Now, I would like to compare the forecast with current values as: seqplot.ts(current_st[,2],Yfor$mean, colx="1",coly="red",ltyx=1,ltyy=2) How the model will runned with a difference order = 7, this graph will not be in the same scale. I tryed to do: prev <- cumsum(c(Yfor$mean)) prevst<-ts(prev, freq=365, start=c(2011,7)) seqplot.ts(Y1st[,2],prevst, colx="1",coly="red",ltyx=1,ltyy=2) But the graphic still strange. The forecast still bigger. Somemeone could help me in this undiff in R, please? Thanks Flávio [[alternative HTML version deleted]]
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