Lattice prepanel function for confidence intervals

Description

This prepanel function is defined so as to allow room for all confidence intervals plotted in a lattice display. Note, both lower and upper must be passed directly to xyplot as they will be passed down to the prepanel function.

Usage

	prepanel.ci(x,y,subscripts, lower,upper)

Arguments

Value

A list giving the ranges and differences in ranges of x and the lower and upper bounds of y.

Author(s)

Dave Armstrong (UW-Milwaukee, Department of Political Science)

Examples

library(car)
library(lattice)
data(Ornstein)
mod <- lm(interlocks ~ log(assets)*nation, data=Ornstein)
mod.out <- intQualQuant(mod, c("log(assets)", "nation"), 
	n=25, plot=FALSE, type="facs")
xyplot(fit ~ x | contrast, data=mod.out, 
	xlab = "Assets", ylab = "Difference In Fitted Values", 
	lower=mod.out$lower, upper=mod.out$upper, zl=TRUE, 
	prepanel=prepanel.ci, panel=panel.ci)

Results

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(DAMisc)
Loading required package: car
Loading required package: effects

Attaching package: 'effects'

The following object is masked from 'package:car':

    Prestige

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/DAMisc/prepanel.ci.Rd_%03d_medium.png", width=480, height=480)
> ### Name: prepanel.ci
> ### Title: Lattice prepanel function for confidence intervals
> ### Aliases: prepanel.ci
> 
> ### ** Examples
> 
> library(car)
> library(lattice)
> data(Ornstein)
> mod <- lm(interlocks ~ log(assets)*nation, data=Ornstein)
> mod.out <- intQualQuant(mod, c("log(assets)", "nation"), 
+ 	n=25, plot=FALSE, type="facs")
> xyplot(fit ~ x | contrast, data=mod.out, 
+ 	xlab = "Assets", ylab = "Difference In Fitted Values", 
+ 	lower=mod.out$lower, upper=mod.out$upper, zl=TRUE, 
+ 	prepanel=prepanel.ci, panel=panel.ci)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>