corFisher

Testing correlation between two numeric vectors by Fisher's Z transformation.

This is a core implementation of 'SAS' procedures for linear models - GLM, REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide Type II and Type III SS. However, the results of nested and complex designs are often different from those of 'SAS'. Different results do not necessarily mean incorrectness. However, many want the same results as 'SAS'. This package aims to achieve that.
Reference: Littell RC, Stroup WW, Freund RJ (2002, ISBN:0-471-22174-0).

Kyun-Seop Bae

sasLM

'SAS' Linear Model

corFisher function

<dl> <dt>x</dt>
<dd>the first input numeric vector</dd> <dt>y</dt>
<dd>the second input numeric vector</dd> <dt>conf.level</dt>
<dd>confidence level</dd> <dt>rho</dt>
<dd>population correlation rho under the null hypothesis</dd>
 
</dl>

Arguments

Author

Correlation test by Fisher's Z transformation — corFisher

<dl>

 <dt>x</dt>
<dd>the first input numeric vector</dd>

 <dt>y</dt>
<dd>the second input numeric vector</dd>

 <dt>conf.level</dt>
<dd>confidence level</dd>

 <dt>rho</dt>
<dd>population correlation rho under the null hypothesis</dd>
 
</dl>

corFisher: Correlation test by Fisher's Z transformation

Description

Usage

Value

Arguments

Author

Details

References

Examples