plotRsdAcf-methods: ~~ Methods for Function 'plotRsdAcf' in Package 'x12' ~~

In x12: Interface to 'X12-ARIMA'/'X13-ARIMA-SEATS' and Structure for Batch Processing of Seasonal Adjustment

~~ Methods for Function plotRsdAcf in Package x12 ~~

Description

Plot of the (partial) autocorrelations of the (squared) residuals with function plotRsdAcf in package x12.

Usage

## S4 method for signature 'x12Output'
plotRsdAcf(x, which="acf",
				xlab="Lag", ylab="ACF",
				main="default", col_acf="darkgrey", lwd_acf=4,
				col_ci="blue", lt_ci=2, ylim="default", ...)
## S4 method for signature 'x12Single'
plotRsdAcf(x, which="acf",
				xlab="Lag", ylab="ACF",
				main="default", col_acf="darkgrey", lwd_acf=4,
				col_ci="blue", lt_ci=2, ylim="default", ...)
				

Arguments

x	object of class x12Output-class or x12Single-class.
which	character specifying the type of autocorrelation of the residuals that should be plotted, i.e. the autocorrelations or partial autocorrelations of the residuals or the autocorrelations of the squared residuals ("acf", "pacf", "acf2").
xlab	label of the x-axis.
ylab	label of the y-axis.
main	plot title.
col_acf	color of the autocorrelations.
lwd_acf	line width of the autocorrelations.
col_ci	color of the +- 2 standard error limits.
lt_ci	line type of the +- 2 standard error limits.
ylim	range of the y-axis.
...	ignored.

Methods

signature(x = "x12Output")

signature(x = "x12Single")

Author(s)

Alexander Kowarik, Angelika Meraner

See Also

x12, plot, plotSpec, plotSeasFac

Examples

## Not run: 
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)
#w/o outliers
plot(s@x12Output,sa=TRUE,trend=TRUE,original=FALSE)
plot(s)
#with (all) outliers
plot(s,showAllout=TRUE,sa=TRUE,trend=TRUE,log_transform=TRUE,lwd_out=1,pch_ao=4)
plot(s,showAllout=TRUE,sa=TRUE,trend=TRUE,original=FALSE,showAlloutLines=TRUE,
  col_tc="purple")#,log_transform=TRUE)#,lwd_out=3)
#with showOut
plot(s,showOut="AO1960.Jun",sa=FALSE,trend=FALSE,annComp=TRUE,log_transform=TRUE)
plot(s,showOut="AO1958.Mar",sa=TRUE,trend=TRUE,annComp=TRUE,annCompTrend=FALSE)
plot(s,showOut="AO1950.Jun",annComp=FALSE,cex_out=3,pch_ao=19,col_ao="orange")
plot(s,showOut="TC1954.Feb")
plot(s,showOut="TC1954.Feb",col_tc="green3")

#w/o legend
plot(s,showAllout=TRUE,plot_legend=FALSE)
plot(s,plot_legend=FALSE)
plot(s,showOut="AO1950.1",plot_legend=FALSE,lwd_out=2,col_ao="purple")
plot(s,showOut="TC1954.Feb",col_tc="orange",col_ao="magenta",plot_legend=FALSE)
plot(s,showOut="AO1950.1",col_tc="orange",col_ao="magenta",plot_legend=FALSE)

#Forecasts & Backcasts
plot(s,forecast=TRUE)
plot(s,backcast=TRUE,showLine=TRUE)
plot(s,backcast=TRUE,forecast=TRUE,showCI=FALSE)
plot(s,forecast=TRUE,points_fc=TRUE,col_fc="purple",lty_fc=2,lty_original=3,lwd_fc=0.9,
  lwd_ci=2)
plot(s,sa=TRUE,plot_legend=FALSE)

#Seasonal Factors and SI Ratios
plotSeasFac(s)
#Spectra
plotSpec(s)
plotSpec(s,highlight=FALSE)
#Autocorrelations of the Residuals
plotRsdAcf(s)
plotRsdAcf(s,col_acf="black",lwd_acf=1)

## End(Not run)

x12 documentation built on May 20, 2022, 1:13 a.m.