plotSeasFac in Package x12 ~~plotSeasFac-methods.RdSeasonal factor plots with function plotSeasFac in package x12.
# S4 method for class 'x12Output'
plotSeasFac(x,SI_Ratios=TRUE, ylab="Value", xlab="",
lwd_seasonal=1, col_seasonal="black", lwd_mean=1, col_mean="blue",
col_siratio="darkgreen",col_replaced="red", cex_siratio=.9, cex_replaced=.9,
SI_Ratios_replaced=TRUE, plot_legend=TRUE,legend_horiz=FALSE,legend_bty="o",
...)
# S4 method for class 'x12Single'
plotSeasFac(x,SI_Ratios=TRUE, ylab="Value", xlab="",lwd_seasonal=1,
col_seasonal="black", lwd_mean=1, col_mean="blue", col_siratio="darkgreen",
col_replaced="red", cex_siratio=.9, cex_replaced=.9, SI_Ratios_replaced=TRUE,
plot_legend=TRUE,legend_horiz=FALSE,legend_bty="o",
...)signature(x = "x12Output")signature(x = "x12Single")object of class x12Output-class or x12Single-class.
logical specifying if the SI ratios should be plotted.
label of the y-axis.
label of the x-axis.
line width of the seasonal factors.
color of the seasonal factors.
line width of the mean.
color of the mean.
color of the SI ratios.
color of the replaced SI ratios.
magnification factor for the size of the symbols used for plotting the SI ratios.
magnification factor for the size of the symbols used for plotting the replaced SI ratios.
logical specifying if the replaced SI ratios should be plotted.
logical specifying if a legend should be plotted.
Orientation of the legend
the type of box to be drawn around the legend. The allowed values are "o" (the default) and "n".
ignored.
if (FALSE) { # \dontrun{
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)
} # }