Summary of a X13-ARIMA-SEATS seasonal adjustment
Like the corresponding method for "lm"
objects, the method for
"seas"
objects returns the estimated coefficients, its standard errors,
z-statistics and corresponding (two-sided) p-values. Coefficients are returned
both for the exogenous regressors and the coefficients of the ARIMA model.
## S3 method for class 'seas' summary(object, stats = getOption("seas.stats"), ...) ## S3 method for class 'summary.seas' print( x, digits = max(3, getOption("digits") - 3), signif.stars = getOption("show.signif.stars"), ... )
object |
an object of class |
stats |
(experimental) character vector, additional stat to be shown in the |
... |
further arguments passed to or from other methods. |
x |
an object of class |
digits |
the number of significant digits to use when printing. |
signif.stars |
logical. If |
The lower part of the output shows additional information on the estimation:
use of SEATS or X11
structure of the seasonal ARIMA model
number of observations
prior transformation
value of the information criterion (lower is better)
test for seasonality in the final series; null hypothesis: no
seasonality in final; signif. codes are shown if the null hypothesis is
rejected. QS statistics for more series (e.g., the original series) can be
extracted with qs()
.
test for residual autocorrelation; null hypothesis: no
autocorrelation in residuals; signif. codes are shown if the null hypothesis
is rejected. The test statistic is the result of
Box.test(resid(m), lag = 24, type = "Ljung")
test for normality of the residuals; null hypothesis: normal
distribution of the residuals; signif. codes are shown if the null
hypothesis is rejected. The test statistic is the result of
shapiro.test(resid(m))
summary.seas
returns a list containing the summary statistics
included in object
, and computes the following additional
statistics:
coefficients |
a named matrix containing coefficients, standard deviations, t-values and p-values |
transform |
character string with the type of initial transformation |
The print
method prints the summary output in a similar way as the
method for "lm"
.
m <- seas(AirPassengers) summary(m) ### user defined stats from the udg function # (experimental, see ?udg) # also show some M quality statistics for X11 in summary options(seas.stats = c("f3.m01", "f3.m02", "f3.m03", "f3.m04")) summary(seas(AirPassengers, x11 = "")) # this does not affect the SEATS output summary(seas(AirPassengers)) # reset to default options(seas.stats = NULL)
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