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<h2 class="chapter">25 Statistics</h2>
<p>Octave has support for various statistical methods. This includes
basic descriptive statistics, statistical tests, random number generation,
and much more.
<p>The functions that analyze data all assume that multidimensional data
is arranged in a matrix where each row is an observation, and each
column is a variable. So, the matrix defined by
<pre class="example"> a = [ 0.9, 0.7;
0.1, 0.1;
0.5, 0.4 ];
</pre>
<p class="noindent">contains three observations from a two-dimensional distribution.
While this is the default data arrangement, most functions support
different arrangements.
<p>It should be noted that the statistics functions don't test for data
containing NaN, NA, or Inf. Such values need to be handled explicitly.
<ul class="menu">
<li><a accesskey="1" href="Descriptive-Statistics.html#Descriptive-Statistics">Descriptive Statistics</a>
<li><a accesskey="2" href="Basic-Statistical-Functions.html#Basic-Statistical-Functions">Basic Statistical Functions</a>
<li><a accesskey="3" href="Statistical-Plots.html#Statistical-Plots">Statistical Plots</a>
<li><a accesskey="4" href="Tests.html#Tests">Tests</a>
<li><a accesskey="5" href="Models.html#Models">Models</a>
<li><a accesskey="6" href="Distributions.html#Distributions">Distributions</a>
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