[jira] [Updated] (MATH-691) Statistics.setVarianceImpl makes getStandardDeviation produce NaN

[Warren Tang (Updated) (JIRA)]

 [ 
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.

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[jira] [Updated] (MATH-691) Statistics.setVarianceImpl makes getStandardDeviation produce NaN

[Warren Tang (Updated) (JIRA)]

 [ 
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}

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[jira] [Updated] (MATH-691) Statistics.setVarianceImpl makes getStandardDeviation produce NaN

[Warren Tang (Updated) (JIRA)]

 [ 
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}

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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