plotCorrPrecision

single or vector of true correlations.  A worst-case
	precision graph results from rho=0

vector of sample sizes to use on the x-axis

confidence coefficient; default uses 0.95 confidence limits

conf.int

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 <code>rho</code>.  Precision is defined as the larger
of the upper confidence limit minus rho and rho minus the lower confidence
limit.  <code>labcurve</code> is used to automatically label the curves.

htest

The Hmisc library contains many functions useful for data
	analysis, high-level graphics, utility operations, functions for
	computing sample size and power, importing datasets,
	imputing missing values, advanced table making, variable clustering,
	character string manipulation, conversion of S objects to LaTeX code,
	recoding variables, and bootstrap repeated measures analysis.

plotCorrPrecision: Plot Precision of Estimate of Pearson Correlation Coefficient

Description

Usage

Arguments

See Also

Examples