Last data update: 2014.03.03

R: Lattice panel function for confidence intervals with capped...
panel.2catR Documentation

Lattice panel function for confidence intervals with capped bars

Description

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

Usage

	panel.2cat(x,y,subscripts, lower,upper)

Arguments

x,y

Data from the call to xyplot.

subscripts

Variable used to created the juxtaposed panels.

lower, upper

95% lower and upper bounds of y.

Author(s)

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

Examples

library(car)
library(lattice)
library(effects)
data(Duncan)
Duncan$inc.cat <- cut(Duncan$income, 3)
mod <- lm(prestige~ inc.cat * type + education,
  data=Duncan)
e1 <- effect("inc.cat*type", mod)
update(plot(e1), panel=panel.2cat)

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.2cat.Rd_%03d_medium.png", width=480, height=480)
> ### Name: panel.2cat
> ### Title: Lattice panel function for confidence intervals with capped bars
> ### Aliases: panel.2cat
> 
> ### ** Examples
> 
> library(car)
> library(lattice)
> library(effects)
> data(Duncan)
> Duncan$inc.cat <- cut(Duncan$income, 3)
> mod <- lm(prestige~ inc.cat * type + education,
+   data=Duncan)
> e1 <- effect("inc.cat*type", mod)
> update(plot(e1), panel=panel.2cat)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>