Last data update: 2014.03.03

R: Interval Plot
interval.plotR Documentation

Interval Plot

Description

Function to graph confidence intervals

Usage

interval.plot(ll, ul)

Arguments

ll

vector of lower confidence interval values

ul

vector of upper confidence interval values

See Also

CIsim

Examples

set.seed(402)
m <- 100 # Number of samples
n <- 500 # Sample size
a <- array(0,m)
ll <- array(0,m)
ul <- array(0,m)
i <- 0
while (i < m)
{ i <- i + 1
a[i] <- mean(rnorm(n))
ll[i] <- a[i] + qnorm(0.025)*sqrt(1/n)
ul[i] <- a[i] + qnorm(0.975)*sqrt(1/n)
}
interval.plot(ll,ul)

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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Type 'demo()' for some demos, 'help()' for on-line help, or
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> library(PASWR)
Loading required package: e1071
Loading required package: MASS
Loading required package: lattice
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/PASWR/interval.plot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: interval.plot
> ### Title: Interval Plot
> ### Aliases: interval.plot
> ### Keywords: misc
> 
> ### ** Examples
> 
> set.seed(402)
> m <- 100 # Number of samples
> n <- 500 # Sample size
> a <- array(0,m)
> ll <- array(0,m)
> ul <- array(0,m)
> i <- 0
> while (i < m)
+ { i <- i + 1
+ a[i] <- mean(rnorm(n))
+ ll[i] <- a[i] + qnorm(0.025)*sqrt(1/n)
+ ul[i] <- a[i] + qnorm(0.975)*sqrt(1/n)
+ }
> interval.plot(ll,ul)
$`Number of intervals that contain 0`
[1] 95

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>