Pcor.test

Testing partial correlation between many columns of data with the Pearson method.

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

Pcor.test function

<dl> <dt>Data</dt>
<dd>a numeric matrix or <code>data.frame</code></dd> <dt>x</dt>
<dd>names of columns to be tested</dd> <dt>y</dt>
<dd>names of control columns</dd></dl>

Arguments

Author

Partial Correlation test of multiple columns — Pcor.test

<dl>

 <dt>Data</dt>
<dd>a numeric matrix or <code>data.frame</code></dd>

 <dt>x</dt>
<dd>names of columns to be tested</dd>

 <dt>y</dt>
<dd>names of control columns</dd>

</dl>

Pcor.test: Partial Correlation test of multiple columns

Description

Usage

Value

Arguments

Author

Details

Examples