Plot Precision of Estimate of Pearson Correlation Coefficient

Description

This function plots the precision (margin of error) of the product-moment linear correlation coefficient r vs. sample size, for a given vector of correlation coefficients rho. Precision is defined as the larger of the upper confidence limit minus rho and rho minus the lower confidence limit. labcurve is used to automatically label the curves.

Usage

plotCorrPrecision(rho = c(0, 0.5), n = seq(10, 400, length = 100),
                  conf.int = 0.95, offset=0.025, ...)

Arguments

Author(s)

Xing Wang and Frank Harrell

See Also

rcorr,cor,cor.test

Examples

plotCorrPrecision()
plotCorrPrecision(rho=0)

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(Hmisc)
Loading required package: lattice
Loading required package: survival
Loading required package: Formula
Loading required package: ggplot2

Attaching package: 'Hmisc'

The following objects are masked from 'package:base':

    format.pval, round.POSIXt, trunc.POSIXt, units

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Hmisc/plotCorrPrecision.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotCorrPrecision
> ### Title: Plot Precision of Estimate of Pearson Correlation Coefficient
> ### Aliases: plotCorrPrecision
> ### Keywords: htest
> 
> ### ** Examples
> 
> plotCorrPrecision()
> plotCorrPrecision(rho=0)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>