compcorr

Compare two correlation coefficients using Fisher's Z-transformation

A method for identifying pattern changes between 2 experimental
conditions in correlation networks (e.g., gene co-expression networks),
which builds on a commonly used association measure, such as Pearson's
correlation coefficient. This package includes functions to calculate
correlation matrices for high-dimensional dataset and to test
differential correlation, which means the changes in the correlation
relationship among variables (e.g., genes and metabolites) between 2
experimental conditions.

Atsushi Fukushima

DiffCorr

Analyzing and Visualizing Differential Correlation Networks in
Biological Data

Kozo Nishida

compcorr function

<dl><dt>n1</dt>
<dd>sample size under condition 1</dd>
<dt>r1</dt>
<dd>correlation coefficient under condition 1</dd>
<dt>n2</dt>
<dd>sample size under condition 2</dd>
<dt>r2</dt>
<dd>correlation coefficient under condition 1</dd></dl>

Arguments

Author

Compare two correlation coefficients — compcorr

<dl>

<dt>n1</dt>
<dd>sample size under condition 1</dd>


<dt>r1</dt>
<dd>correlation coefficient under condition 1</dd>


<dt>n2</dt>
<dd>sample size under condition 2</dd>


<dt>r2</dt>
<dd>correlation coefficient under condition 1</dd>

</dl>

compcorr: Compare two correlation coefficients

Description

Usage

Value

Arguments

Author

References

Examples