pairedstats.html

< 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:class

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<TD><B>Methods inherited from class java.lang.Object</B></TD>
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<TD><CODE>clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait</CODE></TD>
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<A NAME="xStats"><!-- --></A><H3>
xStats</H3>
<PRE>
public <A HREF="../../weka/experiment/Stats.html">Stats</A> <B>xStats</B></PRE>
<DL>
<DD>The stats associated with the data in column 1</DL>
<HR>

<A NAME="yStats"><!-- --></A><H3>
yStats</H3>
<PRE>
public <A HREF="../../weka/experiment/Stats.html">Stats</A> <B>yStats</B></PRE>
<DL>
<DD>The stats associated with the data in column 2</DL>
<HR>

<A NAME="differencesStats"><!-- --></A><H3>
differencesStats</H3>
<PRE>
public <A HREF="../../weka/experiment/Stats.html">Stats</A> <B>differencesStats</B></PRE>
<DL>
<DD>The stats associated with the paired differences</DL>
<HR>

<A NAME="differencesProbability"><!-- --></A><H3>
differencesProbability</H3>
<PRE>
public double <B>differencesProbability</B></PRE>
<DL>
<DD>The probability of obtaining the observed differences</DL>
<HR>

<A NAME="correlation"><!-- --></A><H3>
correlation</H3>
<PRE>
public double <B>correlation</B></PRE>
<DL>
<DD>The correlation coefficient</DL>
<HR>

<A NAME="xySum"><!-- --></A><H3>
xySum</H3>
<PRE>
public double <B>xySum</B></PRE>
<DL>
<DD>The sum of the products</DL>
<HR>

<A NAME="count"><!-- --></A><H3>
count</H3>
<PRE>
public double <B>count</B></PRE>
<DL>
<DD>The number of data points seen</DL>
<HR>

<A NAME="differencesSignificance"><!-- --></A><H3>
differencesSignificance</H3>
<PRE>
public int <B>differencesSignificance</B></PRE>
<DL>
<DD>A significance indicator:
 0 if the differences are not significant
 > 0 if x significantly greater than y
 < 0 if x significantly less than y</DL>
<HR>

<A NAME="sigLevel"><!-- --></A><H3>
sigLevel</H3>
<PRE>
public double <B>sigLevel</B></PRE>
<DL>
<DD>The significance level for comparisons</DL>

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<A NAME="PairedStats(double)"><!-- --></A><H3>
PairedStats</H3>
<PRE>
public <B>PairedStats</B>(double&nbsp;sig)</PRE>
<DL>
<DD>Creates a new PairedStats object with the supplied significance level.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>sig</CODE> - the significance level for comparisons</DL>
</DD>
</DL>

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<A NAME="add(double, double)"><!-- --></A><H3>
add</H3>
<PRE>
public void <B>add</B>(double&nbsp;value1,
                double&nbsp;value2)</PRE>
<DL>
<DD>Add an observed pair of values.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>value1</CODE> - the value from column 1<DD><CODE>value2</CODE> - the value from column 2</DL>
</DD>
</DL>
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<A NAME="subtract(double, double)"><!-- --></A><H3>
subtract</H3>
<PRE>
public void <B>subtract</B>(double&nbsp;value1,
                     double&nbsp;value2)</PRE>
<DL>
<DD>Removes an observed pair of values.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>value1</CODE> - the value from column 1<DD><CODE>value2</CODE> - the value from column 2</DL>
</DD>
</DL>
<HR>

<A NAME="calculateDerived()"><!-- --></A><H3>
calculateDerived</H3>
<PRE>
public void <B>calculateDerived</B>()</PRE>
<DL>
<DD>Calculates the derived statistics (significance etc).</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns statistics on the paired comparison.<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the t-test statistics as a string</DL>
</DD>
</DL>
<HR>

<A NAME="main(java.lang.String[])"><!-- --></A><H3>
main</H3>
<PRE>
public static void <B>main</B>(java.lang.String[]&nbsp;args)</PRE>
<DL>
<DD>Tests the paired stats object from the command line.
 reads line from stdin, expecting two values per line.<DD><DL>
<DT><B>Parameters:</B><DD><CODE>args</CODE> - ignored.</DL>
</DD>
</DL>
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