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  • Committer: Package Import Robot
  • Author(s): Sylvestre Ledru
  • Date: 2012-08-30 14:42:38 UTC
  • mfrom: (1.4.7)
  • Revision ID: package-import@ubuntu.com-20120830144238-c1y2og7dbm7m9nig
Tags: 5.4.0-beta-3-1~exp1
* New upstream release
* Update the scirenderer dep
* Get ride of libjhdf5-java dependency

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modules/statistics/help/en_US/measures_shape/quart.xml
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<refentry xmlns="http://docbook.org/ns/docbook" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:svg="http://www.w3.org/2000/svg" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:db="http://docbook.org/ns/docbook" version="5.0-subset Scilab" xml:lang="en" xml:id="quart">
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  <refnamediv>
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    <refname>quart</refname>
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    <refpurpose> computation of quartiles
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    </refpurpose>
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  </refnamediv>
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  <refsynopsisdiv>
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    <title>Calling Sequence</title>
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    <synopsis>s=quart(x)
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      s=quart(x,'r') or m=quart(x,1)
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      s=quart(x,'c') or m=quart(x,2)
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    </synopsis>
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  </refsynopsisdiv>
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  <refsection>
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    <title>Arguments</title>
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    <variablelist>
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      <varlistentry>
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        <term>x</term>
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        <listitem>
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          <para>real or complex vector or matrix</para>
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        </listitem>
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      </varlistentry>
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    </variablelist>
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  </refsection>
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  <refsection>
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    <title>Description</title>
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    <para>
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      For a vector  or a matrix x,  [q]=quart(x,y)
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      returns in the vector q the quartiles of x.
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      [q]=quart(x,'r')        (or,         equivalently,
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      [q]=quart(x,1)) are the   rowwise percentiles.  It
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      returns in  each  column of    the matrix  q   the
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      quartiles  of   data   in the   corresponding column  of
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      x.
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    </para>
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    <para>
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      [q]=quart(x,'c')        (or,         equivalently,
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      [q]=quart(x,2)) are the  columnwise quartiles.  It
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      returns in each row of  the matrix q the quartiles
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      of data in the corresponding row of x.
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    </para>
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  </refsection>
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  <refsection>
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    <title>Examples</title>
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    <programlisting role="example"><![CDATA[ 
 
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    <refnamediv>
 
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        <refname>quart</refname>
 
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        <refpurpose> computation of quartiles
 
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        </refpurpose>
 
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    </refnamediv>
 
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    <refsynopsisdiv>
 
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        <title>Calling Sequence</title>
 
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        <synopsis>s=quart(x)
 
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            s=quart(x,'r') or m=quart(x,1)
 
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            s=quart(x,'c') or m=quart(x,2)
 
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        </synopsis>
 
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    </refsynopsisdiv>
 
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    <refsection>
 
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        <title>Arguments</title>
 
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        <variablelist>
 
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            <varlistentry>
 
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                <term>x</term>
 
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                <listitem>
 
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                    <para>real or complex vector or matrix</para>
 
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                </listitem>
 
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            </varlistentry>
 
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        </variablelist>
 
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    </refsection>
 
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    <refsection>
 
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        <title>Description</title>
 
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        <para>
 
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            For a vector  or a matrix x,  [q]=quart(x,y)
 
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            returns in the vector q the quartiles of x.
 
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            [q]=quart(x,'r')        (or,         equivalently,
 
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            [q]=quart(x,1)) are the   rowwise percentiles.  It
 
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            returns in  each  column of    the matrix  q   the
 
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            quartiles  of   data   in the   corresponding column  of
 
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            x.
 
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        </para>
 
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        <para>
 
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            [q]=quart(x,'c')        (or,         equivalently,
 
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            [q]=quart(x,2)) are the  columnwise quartiles.  It
 
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            returns in each row of  the matrix q the quartiles
 
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            of data in the corresponding row of x.
 
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        </para>
 
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    </refsection>
 
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    <refsection>
 
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        <title>Examples</title>
 
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        <programlisting role="example"><![CDATA[ 
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x=[6 7 0 7 10 4 2 2 7 1;
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   6 0 5 5 5 2 0 6 8 10;
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   8 6 4 3 5 9 8 3 4 7;
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q=quart(x,'r')
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q=quart(x,'c')
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 ]]></programlisting>
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  </refsection>
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  <refsection>
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    <title>Bibliography</title>
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    <para>
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      Wonacott, T.H. &amp; Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley &amp; Sons, 1990.
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    </para>
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  </refsection>
 
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    </refsection>
 
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    <refsection>
 
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        <title>Bibliography</title>
 
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        <para>
 
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            Wonacott, T.H. &amp; Wonacott, R.J.; Introductory Statistics, fifth edition, J.Wiley &amp; Sons, 1990.
 
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        </para>
 
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    </refsection>
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</refentry>