"x12Output"x12Output-class.RdOutput class for x12.
Objects can be created by calls of the form new("x12Output", ...).
a1:Object of class "ts" - the original time series.
d10:Object of class "ts" - the final seasonal factors.
d11:Object of class "ts" - the final seasonally adjusted data.
d12:Object of class "ts" - the final trend cycle.
d13:Object of class "ts" - the final irregular components.
d16:Object of class "ts" - the combined adjustment factors.
c17:Object of class "ts" - the final weights for the irregular component.
d9:Object of class "ts" - the final replacements for the SI ratios.
e2:Object of class "ts" - the differenced, transformed, seasonally adjusted data.
d8:Object of class "ts" - the final unmodified SI ratios.
b1:Object of class "ts" - the prior adjusted original series.
td:Object of class "tsOrNULL" - the trading day component
otl:Object of class "tsOrNULL" - the outlier regression series
sp0:Object of class "spectrum" - the spectrum of the original series.
sp1:Object of class "spectrum" - the spectrum of the differenced seasonally adjusted series.
sp2:Object of class "spectrum" - the spectrum of modified irregular series.
spr:Object of class "spectrum" - the spectrum of the regARIMA model residuals.
forecast:Object of class "fbcast" - the point forecasts with prediction intervals
backcast:Object of class "fbcast" - the point backcasts with prediction intervals
dg:Object of class "list", containing several seasonal adjustment and regARIMA modeling diagnostics, i.e.:x11regress, transform, samode, seasonalma, trendma, arimamdl, automdl, regmdl, nout, nautoout, nalmostout, almostoutlier, crit,
outlier, userdefined, autooutlier, peaks.seas, peaks.td, id.seas, id.rsdseas, spcrsd, spcori, spcsa, spcirr, m1, m2, m3, m4, m5, m6,
m7, m8, m9, m10, m11, q, q2, nmfail, loglikelihood, aic, aicc, bic, hq, aape, autotransform, ifout, rsd.acf, rsd.pacf, rsd.acf2,
tsName, frequency, span,...
file:Object of class "character" - path to the output directory and filename
tblnames:Object of class "character" - tables read into R
Rtblnames:Object of class "character" - names of tables read into R
signature(object = "x12Output"): ...
signature(object = "x12Output"): ...
signature(object = "x12Output"): ...
signature(object = "x12Output"): ...
signature(object = "x12Output"): ...
x12,
x12Single,
x12Batch,
x12Parameter,
x12List,
x12Output,
x12BaseInfo,
summary.x12work,
x12work
data(AirPassengersX12)
summary(AirPassengersX12)
#> -------------------------- AirPassengers ------------------------------------
#> -----------------------------------------------------------------------------------
#>
#> Time Series
#>
#> Frequency: 12
#> Span: 1st month,1949 to 12th month,1960
#>
#> Model Definition
#>
#> ARIMA Model: (1,1,0)(0,1,1)
#> Model Span: 1st month,1949 to 12th month,1960
#> Transformation: Automatic selection : Log(y)
#> Regression Model: none
#>
#> Outlier Detection
#>
#> Outlier Span: 1st month,1949 to 12th month,1960
#> Critical |t| for outliers:
#> aocrit1 aocrit2 lscrit1 lscrit2 tccrit1 tccrit2
#> "3.89" "*" "3.89" "*" "3.89" "*"
#> Total Number of Outliers: 0
#> Automatically Identified Outliers: 0
#>
#> Seasonal Adjustment
#>
#> Identifiable Seasonality: yes
#> Seasonal Peaks: rsd
#> Trading Day Peaks: sa irr
#> Overall Index of Quality of SA
#> (Acceptance Region from 0 to 1)
#> Q: 0.26
#> Number of M statistics outside the limits: 0
#>
#> SA decomposition: multiplicative
#> Seasonal moving average used for the final iteration:
#> 3x3 (Based on the size of the global moving seasonality ratio (msr))
#> Moving average used to estimate the final trend-cycle: 9-term Henderson filter
showClass("x12Output")
#> Class "x12Output" [package "x12"]
#>
#> Slots:
#>
#> Name: a1 d10 d11 d12 d13 d16 c17
#> Class: ts ts ts ts ts ts ts
#>
#> Name: d9 e2 d8 b1 td otl sp0
#> Class: ts ts ts ts tsOrNULL tsOrNULL spectrum
#>
#> Name: sp1 sp2 spr forecast backcast dg file
#> Class: spectrum spectrum spectrum fbcast fbcast list character
#>
#> Name: tblnames Rtblnames
#> Class: character character