Lattice panel function for confidence intervals

Description

This panel function is defined to plot confidence intervals in a multi-panel lattice display. Note, both lower and upper must be passed directly to xyplot as they will be passed down to the prepanel function.

Usage

	panel.ci(x,y,subscripts, lower,upper,zl)

Arguments

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/panel.ci.Rd_%03d_medium.png", width=480, height=480)
> ### Name: panel.ci
> ### Title: Lattice panel function for confidence intervals
> ### Aliases: panel.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 
>