Repository: commons-math Updated Branches: refs/heads/master 2df0a3be6 -> d749b2e76
Fixed errors in multiple regression code samples. JIRA: MATH-1316. Thanks to Sanghack Lee. Project: http://git-wip-us.apache.org/repos/asf/commons-math/repo Commit: http://git-wip-us.apache.org/repos/asf/commons-math/commit/d749b2e7 Tree: http://git-wip-us.apache.org/repos/asf/commons-math/tree/d749b2e7 Diff: http://git-wip-us.apache.org/repos/asf/commons-math/diff/d749b2e7 Branch: refs/heads/master Commit: d749b2e76f3c14d0f2df52706d12f1156320640f Parents: 2df0a3b Author: Phil Steitz <phil.ste...@gmail.com> Authored: Mon Jan 11 06:55:02 2016 -0700 Committer: Phil Steitz <phil.ste...@gmail.com> Committed: Mon Jan 11 06:55:02 2016 -0700 ---------------------------------------------------------------------- src/site/xdoc/userguide/stat.xml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/commons-math/blob/d749b2e7/src/site/xdoc/userguide/stat.xml ---------------------------------------------------------------------- diff --git a/src/site/xdoc/userguide/stat.xml b/src/site/xdoc/userguide/stat.xml index 6a6dd87..c112c8b 100644 --- a/src/site/xdoc/userguide/stat.xml +++ b/src/site/xdoc/userguide/stat.xml @@ -562,14 +562,14 @@ System.out.println(regression.getInterceptStdErr() ); <source> OLSMultipleLinearRegression regression = new OLSMultipleLinearRegression(); double[] y = new double[]{11.0, 12.0, 13.0, 14.0, 15.0, 16.0}; -double[] x = new double[6][]; +double[][] x = new double[6][]; x[0] = new double[]{0, 0, 0, 0, 0}; x[1] = new double[]{2.0, 0, 0, 0, 0}; x[2] = new double[]{0, 3.0, 0, 0, 0}; x[3] = new double[]{0, 0, 4.0, 0, 0}; x[4] = new double[]{0, 0, 0, 5.0, 0}; x[5] = new double[]{0, 0, 0, 0, 6.0}; -regression.newSample(y, x); +regression.newSampleData(y, x); </source> </dd> <dd>Get regression parameters and diagnostics: @@ -593,7 +593,7 @@ double sigma = regression.estimateRegressionStandardError(); <source> GLSMultipleLinearRegression regression = new GLSMultipleLinearRegression(); double[] y = new double[]{11.0, 12.0, 13.0, 14.0, 15.0, 16.0}; -double[] x = new double[6][]; +double[][] x = new double[6][]; x[0] = new double[]{0, 0, 0, 0, 0}; x[1] = new double[]{2.0, 0, 0, 0, 0}; x[2] = new double[]{0, 3.0, 0, 0, 0};
