polygon.conint: polygon Method for Simultaneous Confidence Intervals

In Rearrangement: Monotonize Point and Interval Functional Estimates by Rearrangement

Description

polygon.conint graphs both the upper and lower end-point functions of a confidence interval as a standard polygon on a plot.

Usage

polygon.conint(x, ...)

Arguments

x	object of class conint
...	further arguments to polygon

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

polygon

Examples

## Not run: 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(nage,height,pch=21,bg='gray',cex=0.5,xlab="Age (years)",
     ylab="Height (cms)",col='gray',xaxt='n')
axis(1, at = seq(-2*pi*min(age)/(max(age)-min(age)), 
        2*pi+1,by=5*2*pi/(max(age)-min(age))), label = seq(0, max(age)+1, by=5))
polygon.conint(j, border=NA, col='darkgray')

detach(GrowthChart)
## End(Not run)

Rearrangement documentation built on May 1, 2019, 11:29 p.m.