# NOT RUN {
#Create new batch object with 4 time series
xb <- new("x12Batch",list(AirPassengers,AirPassengers,AirPassengers,AirPassengers))
# change the automdl to FALSE in all 4 elements
xb <- setP(xb,list(automdl=FALSE))
#change the arima.model and arima.smodel settings for the first ts object
xb <- setP(xb,list(arima.model=c(1,1,0),arima.smodel=c(1,1,0)),1)
#change the arima.model and arima.smodel settings for the second ts object
xb <- setP(xb,list(arima.model=c(0,1,1),arima.smodel=c(0,1,1)),2)
#change the arima.model and arima.smodel settingsfor the third ts object
xb <- setP(xb,list(arima.model=c(0,1,1),arima.smodel=c(1,1,1)),3)
#change the arima.model and arima.smodel settings for the fourth ts object
xb <- setP(xb,list(arima.model=c(1,1,1),arima.smodel=c(1,1,1)),4)
#run x12 on all series
xb <- x12(xb)
summary(xb)
#Set automdl=TRUE for the first ts
xb <- setP(xb,list(automdl=TRUE),1)
getP(xb,"automdl")
#rerun x12 on all series (the binaries will only run on the first one)
xb <- x12(xb)
#summary with oldOutput
summary(xb,oldOutput=10)
#Change the parameter and output of the first series back to the first run
xb <- prev(xb,index=1,n=1)
#summary with oldOutput (--- No valid previous runs. ---)
summary(xb,oldOutput=10)
# }
# NOT RUN {
# }
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