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 does not necessarily mean incorrectness. However, many wants the same results to 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 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 null hypothesis</dd>
 
</dl>

corFisher: Correlation test by Fisher's Z transformation

Description

Usage

Value

Arguments

Author

Details

References

Examples