plotCorrPrecision: 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)
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