plotCorrPrecision

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

Contains many functions useful for data
analysis, high-level graphics, utility operations, functions for
computing sample size and power, simulation, importing and annotating datasets,
imputing missing values, advanced table making, variable clustering,
character string manipulation, conversion of R objects to LaTeX and html code,
recoding variables, caching, simplified parallel computing, encrypting and decrypting data using a safe workflow, general moving window statistical estimation, and assistance in interpreting principal component analysis.

Frank Harrell Jr

Hmisc

Harrell Miscellaneous

Frank E Harrell Jr

Charles Dupont

plotCorrPrecision function

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

Arguments

Author

Plot Precision of Estimate of Pearson Correlation Coefficient — plotCorrPrecision

<dl>

 <dt>rho</dt>
<dd>single or vector of true correlations. A worst-case
	precision graph results from rho=0</dd>

 <dt>n</dt>
<dd>vector of sample sizes to use on the x-axis</dd>

 <dt>conf.int</dt>
<dd>confidence coefficient; default uses 0.95 confidence
	limits</dd>

 <dt>offset</dt>
<dd>see <code>labcurve</code></dd>

 <dt>...</dt>
<dd>other arguments to <code>labcurve</code></dd>

</dl>

plotCorrPrecision: Plot Precision of Estimate of Pearson Correlation Coefficient

Description

Usage

Arguments

Author

See Also

Examples