ssNa

Functions to compute Sum of Squared deviations from the mean and sum of Absolute Deviations from the median. <code>ssNa</code> removes missing values (<code>NA</code>s) before calling the <code>ss</code> function.

univar

This is primarily meant as an implementation of generalized blockmodeling for valued networks.
In addition, measures of similarity or dissimilarity based on structural equivalence and
regular equivalence (REGE algorithms) can be computed and partitioned matrices can be plotted:
Žiberna (2007)<doi:10.1016/j.socnet.2006.04.002>, Žiberna (2008)<doi:10.1080/00222500701790207>,
Žiberna (2014)<doi:10.1016/j.socnet.2014.04.002>.

Ales Ziberna

blockmodeling

Generalized and Classical Blockmodeling of Valued Networks

Aleš Žiberna

Marjan Cugmas

ss function

<dl><dt>x</dt>
<dd>A numeric vector.</dd></dl>

Arguments

Author

Sum of Squared deviations from the mean and sum of Absolute Deviations from the median — ss

<dl>

<dt>x</dt>
<dd>A numeric vector.</dd>

</dl>

ss: Sum of Squared deviations from the mean and sum of Absolute Deviations from the median

Description

Usage

Value

Arguments

Author