R: Add Economic Preference Colors to Bootstrap Uncertainty...
plot.ICEcolor
R Documentation
Add Economic Preference Colors to Bootstrap Uncertainty Scatters within a Confidence Wedge
Description
Assuming x is an object of class ICEcolor, the default invocation of plot(x)
recolors the default alias display of the points within the bootstrap distribution of ICE
uncertainty that are within its statistical confidence wedge. An invocation of the form
plot(x, alibi=TRUE) recolors the alibi display. When ready, the user should click within
this graphics window to display a Histogram of all the Economic Preference values falling
within the ICE Statistical Confidence Wedge.
Usage
## S3 method for class 'ICEcolor'
plot(x, alibi = FALSE, ...)
Arguments
x
Required; Output list object of class ICEcolor.
alibi
Optional; Logical value of TRUE or FALSE to control scaling of axes. alibi = FALSE
produces the default alias graphic in which points in the bootstrap uncertainty scatter are
held fixed in space, and changes in lambda change the scaling (tick marks) along either the
horizontal axis of a cost unit display or else along the vertical axis of an effe unit
display. alibi = TRUE produces an alibi graphic in which the scaling (and range) is the
same along both axes, and changes in lambda cause the points in the bootstrap uncertainty
scatter to move either left or right in a cost unit display or else up or dowm in an effe
unit display.
...
Optional; Argument(s) passed on to plot().
Details
To illustrate the sensitivity of Economic Preferences to choice of lambda, multiple calls are
usually made to ICEcolor() for different values of lambda as well as for different choices of
the beta and gamma parameters that determine the shape of and spacing between the Indifference
Curves of an ICE Preference Map.
The plot() of an object of class ICEcolor displays the Bootstrap Distribution of ICE Uncertainty
using small, circular, colored dots (pch = 20). Outcomes outside the Confidence Wedge are
displayed in black, while outcomes inside the Wedge are displayed in a rainbow of colors (within
the red-tan-yellow-green range) that represent Economic Preferences.
Upper and lower ICE Ray Limits are again displayed as solid black lines, while the Straight Line
through the ICE origin that represents lambda is shown as a dashed black line. In an Alias
graphic, the slope of this dashed, black line will always be one; however, this dashed line
usually does not appear to bisect the North-East and South-West ICE quadrants because DIFFERENT
SCALINGS are being used along the horizontal and vertical axes. In an Alibi graphic where the
scaling along both axes is the SAME, the slope of this dashed, black line will always be lambda;
this dashed line will thus not bisect the North-East and South-West ICE quadrants unless lambda
= 1.
Value
NULL
Author(s)
Bob Obenchain <wizbob@att.net>
References
Cook JR, Heyse JF. Use of an angular transformation for ratio estimation in cost-effectiveness
analysis. Statistics in Medicine 2000; 19: 2989-3003.
Obenchain RL. ICE Preference Maps: Nonlinear Generalizations of Net Benefit and Acceptability.
Health Serv Outcomes Res Method 2008; 8: 31-56. DOI 10.1007/s10742-007-0027-2.
Open Access.
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(ICEinfer)
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ICEinfer/plot.ICEcolor.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.ICEcolor
> ### Title: Add Economic Preference Colors to Bootstrap Uncertainty Scatters
> ### within a Confidence Wedge
> ### Aliases: plot.ICEcolor
> ### Keywords: methods hplot
>
> ### ** Examples
>
> data(dpwdg)
> dpcol <- ICEcolor(dpwdg)
> plot(dpcol)
> plot(dpcol, alibi=TRUE)
>
>
>
>
>
> dev.off()
null device
1
>