plotCorrPrecision: Plot Precision of Estimate of Pearson Correlation Coefficient

In Hmisc: Harrell Miscellaneous

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.out = 100),
                  conf.int = 0.95, offset=0.025, ...)

Arguments

rho	single or vector of true correlations. A worst-case precision graph results from rho=0
n	vector of sample sizes to use on the x-axis
conf.int	confidence coefficient; default uses 0.95 confidence limits
offset	see labcurve
...	other arguments to labcurve

Author(s)

Xing Wang and Frank Harrell

See Also

rcorr,cor,cor.test

Examples

plotCorrPrecision()
plotCorrPrecision(rho=0)

Hmisc documentation built on June 22, 2024, 12:19 p.m.