| apc.polygon {apc} | R Documentation | 
Add connected line and standard deviation polygons to a plot
Description
Draws a line for point forecasts and adds shaded region for forecast distribution around it. This is added to a plot in the same way as
lines and polygon add lines and polygons to a plot.
Usage
apc.polygon(m.forecast,x.origin=1,
	plot.se=TRUE,plot.se.proc=FALSE,plot.se.est=FALSE,
	unit=1,
	col.line=1,lty.line=1,lwd.line=1,
	q.se=c(2,2,2),
	angle.se=c(45,45,45),
	border.se=c(NA,NA,NA),
	col.se=gray(c(0.50,0.80,0.90)),
	density.se=c(NULL,NULL,NULL),
	lty.se=c(1,1,1))
Arguments
m.forecast | 
 Matrix. Up to 4 columns. Column 1: point forecasts. Column 2: forecast standard errors. Column 3: process standard errors. Column 4: estimation standard errors.  | 
x.origin | 
 Optional. Numerical. x-coordinate for last observation. The first point forecast is made at   | 
plot.se | 
 Optional. Logical. Should forecast   standard errors be plotted? Default:   | 
plot.se.proc | 
 Optional. Logical. Should process    standard errors be plotted? Default:   | 
plot.se.est | 
 Optional. Logical. Should estimation standard errors be plotted? Default:   | 
unit | 
 Optional. Numerical. step length for point forecasts. Default=1.  | 
col.line | 
 Optional. Point forecasts: Colour of line. Same as   | 
lty.line | 
 Optional. Point forecasts: Type   of line. Same as   | 
lwd.line | 
 Optional. Point forecasts: Width  of line. Same as   | 
q.se | 
 Optional. Vector of length 3. Multiplication factors for standard errors. Default:   | 
angle.se | 
 Optional. Standard error polygon: 3-vector: Angle  of shading.  Same as   | 
border.se | 
 Optional. Standard error polygon: 3-vector: Border of polygon.  Same as   | 
col.se | 
 Optional. Standard error polygon: 3-vector: Colour of polygon.  Same as   | 
density.se | 
 Optional. Standard error polygon: 3-vector: Density of shading. Same as   | 
lty.se | 
 Optional. Standard error polygon: 3-vector: Type of shading.    Same as   | 
Details
The empirical example of
Martinez Miranda, Nielsen and Nielsen (2015)
uses the data
data.asbestos.
The results of that paper are reproduced in 
the vignette
ReproducingMMNN2015.pdf,
ReproducingMMNN2015.R
on
Vignettes.
The function is used there.
Author(s)
Bent Nielsen <bent.nielsen@nuffield.ox.ac.uk> 6 Jan 2016
References
Martinez Miranda, M.D., Nielsen, B. and Nielsen, J.P. (2015) Inference and forecasting in the age-period-cohort model with unknown exposure with an application to mesothelioma mortality. Journal of the Royal Statistical Society A 178, 29-55. Download: Article, Nuffield DP.