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    <AnnotationProperty rdf:about="http://purl.obolibrary.org/obo/STATO_0000391"/>
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    <!-- http://purl.obolibrary.org/obo/STATO_0000029 -->

    <Class rdf:about="http://purl.obolibrary.org/obo/STATO_0000029">
        <rdfs:label xml:lang="en">measure of central tendency</rdfs:label>
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    <!-- http://purl.obolibrary.org/obo/STATO_0000397 -->

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        <rdfs:label xml:lang="en">harmonic mean</rdfs:label>
        <rdfs:subClassOf rdf:resource="http://purl.obolibrary.org/obo/STATO_0000029"/>
        <ns2:IAO_0000117 xml:lang="en">Alejandra Gonzalez-Beltran</ns2:IAO_0000117>
        <ns2:IAO_0000117 xml:lang="en">Orlaith Burke</ns2:IAO_0000117>
        <ns2:IAO_0000117 xml:lang="en">Philippe Rocca-Serra</ns2:IAO_0000117>
        <ns2:IAO_0000115 xml:lang="en">The harmonic mean is a kind of mean which is calculated by dividing the total number of observations by the reciprocal of each number in a series.

Harmonic Mean = N/(1/a1+1/a2+1/a3+1/a4+.......+1/aN)  
where a(i)= Individual score and  N = Sample size (Number of scores)</ns2:IAO_0000115>
        <ns2:IAO_0000119 xml:lang="en">adapted from wikipedia and
https://www.easycalculation.com/statistics/learn-harmonic-mean.php

last accessed: 2015-11-04</ns2:IAO_0000119>
        <ns2:STATO_0000391 xml:lang="en">http://docs.scipy.org/doc/scipy-0.13.0/reference/generated/scipy.stats.mstats.hmean.html</ns2:STATO_0000391>
        <ns2:STATO_0000041 xml:lang="en">http://personality-project.org/r/html/harmonic.mean.html

Usage: &gt; harmonic.mean(x,na.rm=TRUE)

Arguments: 
x, a vector, matrix, or data.frame
na.rm, na.rm=TRUE remove NA values before processing.</ns2:STATO_0000041>
        <ns2:IAO_0000119 xml:lang="en">https://en.wikipedia.org/wiki/Harmonic_mean</ns2:IAO_0000119>
        <ns2:IAO_0000119 xml:lang="en">https://en.wikipedia.org/wiki/Mean#Harmonic_mean_.28HM.29</ns2:IAO_0000119>
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