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>

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compcorr: Compare two correlation coefficients

Description

Usage

Value

Arguments

Author

References

Examples