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27  <h1>SAXO Documentation</h1>
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36      <td><a href="../../overview.html" title="Overview of library">Overview</a></td>
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75&lt;&lt; prev file | next file &gt;&gt;&nbsp;&nbsp;&nbsp;&nbsp;<a href="./directory-overview.html" target="_TOP">view single page</a> | <a href="../../index.html" target="_TOP">view frames</a>&nbsp;&nbsp;&nbsp;&nbsp;summary: fields | routine&nbsp;&nbsp;&nbsp;&nbsp;details: routine
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82      <h1>Directory overview for ToBeReviewed/STATISTICS/</h1>
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84     
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86     
87      <h2>File summary</h2>
88
89      <dl>
90     
91        <dt><a href="a_correlate2d.html">a_correlate2d.pro</a></dt>
92        <dd>      This function computes the autocorrelation Px(K,L) or  autocovariance Rx(K,L) of a sample population X[nx,ny] as a  function of the lag (K,L).</dd>
93     
94        <dt><a href="a_timecorrelate.html">a_timecorrelate.pro</a></dt>
95        <dd>    Same function as <a href="/Applications/itt/idl64/help/online_help/A_CORRELATE.html">A_CORRELATE</a> but accept array (until 4  dimension) for input and do the autocorrelation or the  autocovariance along the time dimension which must be the last  one of the input array.</dd>
96     
97        <dt><a href="c_timecorrelate.html">c_timecorrelate.pro</a></dt>
98        <dd>    This function computes the "time cross correlation" Pxy(L) or  the "time cross covariance" between 2 arrays (this is some  kind of <a href="/Applications/itt/idl64/help/online_help/C_CORRELATE.html">C_CORRELATE</a> but for multidimensional arrays) as a  function of the lag (L).</dd>
99     
100        <dt><a href="skewness_4d.html">skewness_4d.pro</a></dt>
101        <dd>     Same function as SKEWNESS but accept array (until 4  dimension) for input and perform  the skewness   along the time dimension which must be the last  one of the input array.</dd>
102     
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