summary-methods | R Documentation |
summary
in Package x12 ~~Delivers a diagnostics summary for x12
output.
## S4 method for signature 'x12Output' summary(object, fullSummary=FALSE, spectra.detail=FALSE, almostout=FALSE, rsd.autocorr=NULL, quality.stat=FALSE, likelihood.stat=FALSE, aape=FALSE, id.rsdseas=FALSE, slidingspans=FALSE, history=FALSE, identify=FALSE, print=TRUE) ## S4 method for signature 'x12Single' summary(object, fullSummary=FALSE, spectra.detail=FALSE, almostout=FALSE, rsd.autocorr=NULL, quality.stat=FALSE, likelihood.stat=FALSE, aape=FALSE, id.rsdseas=FALSE, slidingspans=FALSE, history=FALSE, identify=FALSE, oldOutput=NULL,print=TRUE) ## S4 method for signature 'x12Batch' summary(object, fullSummary=FALSE, spectra.detail=FALSE, almostout=FALSE, rsd.autocorr=NULL, quality.stat=FALSE, likelihood.stat=FALSE, aape=FALSE, id.rsdseas=FALSE, slidingspans=FALSE, history=FALSE, identify=FALSE, oldOutput=NULL,print=TRUE)
object |
object of class |
fullSummary |
logical defining whether all available optional diagnostics below should be included in the summary. |
spectra.detail |
logical defining whether more detail on the spectra should be returned. |
almostout |
logical defining whether "almost" outliers should be returned. |
rsd.autocorr |
character or character vector specifying the type of autocorrelation of
the residuals that should be returned, i.e. the autocorrelations and/or partial autocorrelations
of the residuals and/or the autocorrelations of the squared residuals ( |
quality.stat |
logical defining whether the second Q statistic, i.e. the Q Statistic computed w/o the M2 Quality Control Statistic, and the M statistics for monitoring and quality assessment should be returned as well. |
likelihood.stat |
if |
aape |
logical defining whether the average absolute percentage error for forecasts should be returned. |
id.rsdseas |
logical defining whether the presence/absence of residual seasonality should be indicated. |
slidingspans |
logical defining whether the diagnostics output of the slidingspans analysis should be returned. |
history |
logical defining whether the diagnostics output of the (revision) history analysis should be returned. |
identify |
logical defining whether the (partial) autocorrelations of the residuals generated by the "identify" specification should be returned. |
oldOutput |
integer specifying the number of previous |
print |
TRUE/FALSE if the summary should be printed. |
signature(x = "x12Output")
signature(x = "x12Single")
signature(x = "x12Batch")
Alexander Kowarik, Angelika Meraner
prev
,
cleanArchive
## Not run: # Summary of an "x12Single" object x12path("../x12a.exe") s <- new("x12Single",ts=AirPassengers,tsName="air") s <- setP(s,list(estimate=TRUE,regression.variables="AO1950.1",outlier.types="all", outlier.critical=list(LS=3.5,TC=2.5),backcast_years=1/2)) s <- x12(s) summary.output<-summary(s) s <- x12(setP(s,list(arima.model=c(0,1,1),arima.smodel=c(0,2,1)))) summary.output<-summary(s,oldOutput=1) s <- x12(setP(s,list(arima.model=c(0,1,1),arima.smodel=c(1,0,1)))) summary.output<-summary(s,fullSummary=TRUE,oldOutput=2) # Summary of an "x12Batch" object xb <- new("x12Batch",list(AirPassengers,AirPassengers, AirPassengers),tsName=c("air1","air2","air3")) xb <- x12(xb) xb <- setP(xb,list(arima.model=c(1,1,0),arima.smodel=c(1,1,0)),1) xb <- x12(xb) xb <- setP(xb,list(regression.variables=c("AO1955.5","AO1956.1","ao1959.3")),1) xb <- setP(xb,list(regression.variables=c("AO1955.4")),2) xb<- x12(xb) xb <- setP(xb,list(outlier.types="all")) xb <- setP(xb,list(outlier.critical=list(LS=3.5,TC=2.5)),1) xb <- setP(xb,list(regression.variables=c("lpyear")),3) xb<- x12(xb) summary.output<-summary(xb,oldOutput=3) ## End(Not run)
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