Seasonal Adjustment Plots
Functions to graphically analyze a "seas" object.
## S3 method for class 'seas'
plot(
x,
outliers = TRUE,
trend = FALSE,
main = "Original and Adjusted Series",
xlab = "Time",
ylab = "",
transform = c("none", "PC", "PCY"),
...
)
residplot(
x,
outliers = TRUE,
main = "residuals of regARIMA",
xlab = "Time",
ylab = "",
...
)
## S3 method for class 'seas'
monthplot(x, choice = c("seasonal", "irregular"), main, ...)x |
an object of class |
outliers |
logical, should the outliers be drawn. |
trend |
logical, should the trend be drawn. |
main |
character string, title of the graph. |
xlab |
character string, title for the x axis. |
ylab |
character string, title for the y axis. |
transform |
character string, optionally transform the data to period to period |
... |
further arguments passed to the plotting functions. |
choice |
character string, |
plot calls the plot method for class "seas". It plots the
adjusted and unadjusted series, as well as the outliers. Optionally draws the
trend series.
residplot plots the residuals and the outliers.
monthplot calls the monthplot method for class "seas". It plot
the seasonal and SI component periodwise. Despite its name, monthplot
can be used for series of all frequencies.
All plot functions return a plot as their side effect.
Vignette with a more detailed description: http://www.seasonal.website/seasonal.html
Comprehensive list of R examples from the X-13ARIMA-SEATS manual: http://www.seasonal.website/examples.html
Official X-13ARIMA-SEATS manual: https://www.census.gov/ts/x13as/docX13ASHTML.pdf
seas(), for the main function.
udg(), for diagnostical statistics.
m <- seas(AirPassengers) plot(m) plot(m, outliers = FALSE) plot(m, trend = TRUE) residplot(m) residplot(m, outliers = FALSE) monthplot(m) # use standard R functions to analyze "seas" models pacf(resid(m)) spectrum(diff(resid(m))) plot(density(resid(m))) qqnorm(resid(m))
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