Shannon-Wiener index

diversity indices used to measure versity in categorical data.
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Actualizado 30 Aug 2010

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% also incorrectly known as Shannon-Weaver,is one of
% several diversity indices used to measure versity
% in categorical data. It is simply the Information
% entropy of the distribution, treating species as
% symbols and their relative population sizes as the
% probability.
% The advantage of this index is that it takes into
% account the number of species and the evenness of
% the species. The index is increased either by
% having additional unique species, or by having a
% greater species evenness.
% The value of the Shannon-Wiener Index usually lies
% between 1.5 and 3.5 for ecological data and rarely
% exceeds 4.0. According to Southwood and Henderson
% (2000), it is an insensitive measure of the character
% of the S:N relationship and is dominated by the
% abundant species.

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Rafael Hernandez-Walls (2024). Shannon-Wiener index (https://www.mathworks.com/matlabcentral/fileexchange/28591-shannon-wiener-index), MATLAB Central File Exchange. Recuperado .

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Se creó con R14
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1.1.0.0

It was added an appropriate format to cite this file.

1.0.0.0