## File: plotCorrPrecision.Rd

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hmisc 4.2-0-1
 12345678910111213141516171819202122232425262728293031 \name{plotCorrPrecision} \alias{plotCorrPrecision} \title{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 \code{rho}. Precision is defined as the larger of the upper confidence limit minus rho and rho minus the lower confidence limit. \code{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, \dots) } \arguments{ \item{rho}{single or vector of true correlations. A worst-case precision graph results from rho=0} \item{n}{vector of sample sizes to use on the x-axis} \item{conf.int}{confidence coefficient; default uses 0.95 confidence limits} \item{offset}{see \code{\link{labcurve}}} \item{\dots}{other arguments to \code{\link{labcurve}}} } \author{Xing Wang and Frank Harrell} \seealso{\code{\link{rcorr}},\code{\link{cor}},\code{\link{cor.test}}} \examples{ plotCorrPrecision() plotCorrPrecision(rho=0) } \keyword{htest}