psteitz 2004/03/21 14:39:56 Modified: math/src/java/org/apache/commons/math/stat BivariateRegression.java Log: Javadoc Revision Changes Path 1.15 +11 -7 jakarta-commons/math/src/java/org/apache/commons/math/stat/BivariateRegression.java Index: BivariateRegression.java =================================================================== RCS file: /home/cvs/jakarta-commons/math/src/java/org/apache/commons/math/stat/BivariateRegression.java,v retrieving revision 1.14 retrieving revision 1.15 diff -u -r1.14 -r1.15 --- BivariateRegression.java 21 Feb 2004 21:35:15 -0000 1.14 +++ BivariateRegression.java 21 Mar 2004 22:39:56 -0000 1.15 @@ -117,9 +117,12 @@ * <code>data</code>. * <p> * <code>(data[0][0],data[0][1])</code> will be the first observation, then - * <code>(data[1][0],data[1][1])</code>, etc. <p> - * - * This method does not replace data that has already been added. + * <code>(data[1][0],data[1][1])</code>, etc. + * <p> + * This method does not replace data that has already been added. The + * observations represented by <code>data</code> are added to the existing + * dataset. + * <p> * To replace all data, use <code>clear()</code> before adding the new * data. * @@ -154,7 +157,8 @@ /** * Returns the "predicted" <code>y</code> value associated with the - * supplied <code>x</code> value. + * supplied <code>x</code> value, based on the data that has been + * added to the model when this method is activated. * <p> * <code> predict(x) = intercept + slope * x </code> * <p> @@ -264,7 +268,7 @@ * <strong>Preconditions</strong>: <ul> * <li>At least two observations (with at least two different x values) * must have been added before invoking this method. If this method is - * invoked before a model can be estimated, <code>Double,NaN</code> is + * invoked before a model can be estimated, <code>Double.NaN</code> is * returned. * </li></ul> * @@ -292,7 +296,7 @@ } /** - * Returns <a href="http://www.stt.msu.edu/~xiaoyimi/STT200/Lecture5.pdf"> + * Returns <a href="http://mathworld.wolfram.com/CorrelationCoefficient.html"> * Pearson's product moment correlation coefficient</a>, * usually denoted r. * <p>
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