[jira] [Updated] (MATH-691) Statistics.setVarianceImpl makes getStandardDeviation produce NaN
[ https://issues.apache.org/jira/browse/MATH-691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Phil Steitz updated MATH-691: - Fix Version/s: 3.0 Assignee: Phil Steitz Statistics.setVarianceImpl makes getStandardDeviation produce NaN - Key: MATH-691 URL: https://issues.apache.org/jira/browse/MATH-691 Project: Commons Math Issue Type: Bug Affects Versions: 2.2 Environment: Windows 7 64-bit, java version 1.6.0_23 Reporter: Warren Tang Assignee: Phil Steitz Priority: Minor Fix For: 3.0 Original Estimate: 5h Remaining Estimate: 5h Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround suggested by Mikkel is: {code:java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MATH-691) Statistics.setVarianceImpl makes getStandardDeviation produce NaN
[ https://issues.apache.org/jira/browse/MATH-691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Warren Tang updated MATH-691: - Description: Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:title=test.java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround is: {code:title=test.java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} as suggested by Mikkel. was: Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); A workaround is: double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); as suggested by Mikkel. Statistics.setVarianceImpl makes getStandardDeviation produce NaN - Key: MATH-691 URL: https://issues.apache.org/jira/browse/MATH-691 Project: Commons Math Issue Type: Bug Affects Versions: 2.2 Environment: Windows 7 64-bit, java version 1.6.0_23 Reporter: Warren Tang Priority: Minor Original Estimate: 5h Remaining Estimate: 5h Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:title=test.java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround is: {code:title=test.java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} as suggested by Mikkel. -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MATH-691) Statistics.setVarianceImpl makes getStandardDeviation produce NaN
[ https://issues.apache.org/jira/browse/MATH-691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Warren Tang updated MATH-691: - Description: Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround suggested by Mikkel is: {code:java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} Here is another from Phil: {code:java} SummaryStatistics stats = new SummaryStatistics(); Variance variance = (Variance) stats.getVarianceImpl(); variance.setBiasCorrected(false); {code} was: Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:title=test.java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround is: {code:title=test.java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} as suggested by Mikkel. Statistics.setVarianceImpl makes getStandardDeviation produce NaN - Key: MATH-691 URL: https://issues.apache.org/jira/browse/MATH-691 Project: Commons Math Issue Type: Bug Affects Versions: 2.2 Environment: Windows 7 64-bit, java version 1.6.0_23 Reporter: Warren Tang Priority: Minor Original Estimate: 5h Remaining Estimate: 5h Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround suggested by Mikkel is: {code:java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} Here is another from Phil: {code:java} SummaryStatistics stats = new SummaryStatistics(); Variance variance = (Variance) stats.getVarianceImpl(); variance.setBiasCorrected(false); {code} -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira
[jira] [Updated] (MATH-691) Statistics.setVarianceImpl makes getStandardDeviation produce NaN
[ https://issues.apache.org/jira/browse/MATH-691?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Warren Tang updated MATH-691: - Description: Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround suggested by Mikkel is: {code:java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} was: Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround suggested by Mikkel is: {code:java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} Here is another from Phil: {code:java} SummaryStatistics stats = new SummaryStatistics(); Variance variance = (Variance) stats.getVarianceImpl(); variance.setBiasCorrected(false); {code} Statistics.setVarianceImpl makes getStandardDeviation produce NaN - Key: MATH-691 URL: https://issues.apache.org/jira/browse/MATH-691 Project: Commons Math Issue Type: Bug Affects Versions: 2.2 Environment: Windows 7 64-bit, java version 1.6.0_23 Reporter: Warren Tang Priority: Minor Original Estimate: 5h Remaining Estimate: 5h Invoking SummaryStatistics.setVarianceImpl(new Variance(true/false) makes getStandardDeviation produce NaN. The code to reproduce it: {code:java} int[] scores = {1, 2, 3, 4}; SummaryStatistics stats = new SummaryStatistics(); stats.setVarianceImpl(new Variance(false)); //use population variance for(int i : scores) { stats.addValue(i); } double sd = stats.getStandardDeviation(); System.out.println(sd); {code} A workaround suggested by Mikkel is: {code:java} double sd = FastMath.sqrt(stats.getSecondMoment() / stats.getN()); {code} -- This message is automatically generated by JIRA. If you think it was sent incorrectly, please contact your JIRA administrators: https://issues.apache.org/jira/secure/ContactAdministrators!default.jspa For more information on JIRA, see: http://www.atlassian.com/software/jira