Last data update: 2014.03.03

R: Plot Method for Simultaneous Confidence Intervals
plot.conintR Documentation

Plot Method for Simultaneous Confidence Intervals

Description

A method for the plot generic. It graphs both the upper and lower end-point functions of a confidence interval as an unfilled polygon.

Usage

## S3 method for class 'conint'
plot(x, border, col, ...)

Arguments

x

object of class conint

border, col

same usage as in polygon

...

further arguments to plot.default

Details

This is intended for plotting confidence intervals produced by the output of simconboot or rconint.

Author(s)

Wesley Graybill, Mingli Chen, Victor Chernozhukov, Ivan Fernandez-Val, Alfred Galichon

See Also

plot, lines.conint, points.conint

Examples

data(GrowthChart)
attach(GrowthChart)

nage <- 2 * pi * (age - min(age)) / (max(age) - min(age))
formula <- height ~ I(sin(nage))+I(cos(nage))+I(sin(2*nage))+I(cos(2*nage))+
            I(sin(3*nage))+I(cos(3*nage))+ I(sin(4*nage))+I(cos(4*nage))
j<-simconboot(nage,height,lm,formula)
plot(j)
points(nage,height)

detach(GrowthChart)

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)

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> library(Rearrangement)
Loading required package: quantreg
Loading required package: SparseM

Attaching package: 'SparseM'

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

    backsolve

Loading required package: splines
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Rearrangement/plot.conint.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.conint
> ### Title: Plot Method for Simultaneous Confidence Intervals
> ### Aliases: plot.conint
> ### Keywords: device
> 
> ### ** Examples
> 
> data(GrowthChart)
> attach(GrowthChart)
> 
> nage <- 2 * pi * (age - min(age)) / (max(age) - min(age))
> formula <- height ~ I(sin(nage))+I(cos(nage))+I(sin(2*nage))+I(cos(2*nage))+
+             I(sin(3*nage))+I(cos(3*nage))+ I(sin(4*nage))+I(cos(4*nage))
> j<-simconboot(nage,height,lm,formula)
> plot(j)
> points(nage,height)
> 
> detach(GrowthChart)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>