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Rename StatisticalParameters to remove EvA in name.

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This commit is contained in:
Fabian Becker 2014-11-09 18:50:15 +01:00
parent 88ef09db21
commit 8f35b0c6d4
3 changed files with 12 additions and 12 deletions
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8
src/eva2/optimization/statistics/OptimizationJobList.java
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@ -162,9 +162,9 @@ public class OptimizationJobList extends PropertySelectableList<OptimizationJob>
@Override
public void actionPerformed(ActionEvent e) {
EvAStatisticalEvaluation.evaluate(jobList, jobList.getObjects(), genericArrayEditor.getSelectedIndices(),
(StatisticsOnSingleDataSet[]) EvAStatisticalEvaluation.statsParams.getOneSampledStats().getSelectedEnum(StatisticsOnSingleDataSet.values()),
(StatisticsOnTwoSampledData[]) EvAStatisticalEvaluation.statsParams.getTwoSampledStats().getSelectedEnum(StatisticsOnTwoSampledData.values()));
StatisticalEvaluation.evaluate(jobList, jobList.getObjects(), genericArrayEditor.getSelectedIndices(),
(StatisticsOnSingleDataSet[]) StatisticalEvaluation.statsParams.getOneSampledStats().getSelectedEnum(StatisticsOnSingleDataSet.values()),
(StatisticsOnTwoSampledData[]) StatisticalEvaluation.statsParams.getTwoSampledStats().getSelectedEnum(StatisticsOnTwoSampledData.values()));
}
};
ActionListener sl = new ActionListener() {
@ -193,7 +193,7 @@ public class OptimizationJobList extends PropertySelectableList<OptimizationJob>
}
private static JComponent createStatsPanel(final OptimizationJobList jobList, final GenericArrayEditor edi) {
JParaPanel pan = new JParaPanel(EvAStatisticalEvaluation.statsParams, "Statistics");
JParaPanel pan = new JParaPanel(StatisticalEvaluation.statsParams, "Statistics");
return pan.makePanel();
}

14
src/eva2/optimization/statistics/EvAStatisticalEvaluation.java → src/eva2/optimization/statistics/StatisticalEvaluation.java
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@ -18,10 +18,10 @@ import java.util.logging.Logger;
* Do some statistical tests on a set of job results. Note that the plausibility (comparability of the
* jobs) is not tested here.
*/
public class EvAStatisticalEvaluation {
public class StatisticalEvaluation {
private static Logger LOGGER = Logger.getLogger(EvAStatisticalEvaluation.class.getName());
public static EvAStatisticalEvaluationParams statsParams = new EvAStatisticalEvaluationParams();
private static Logger LOGGER = Logger.getLogger(StatisticalEvaluation.class.getName());
public static StatisticalEvaluationParameters statsParams = new StatisticalEvaluationParameters();
public static void evaluate(InterfaceTextListener textout, OptimizationJob[] jobList, int[] selectedIndices,
@ -189,7 +189,7 @@ public class EvAStatisticalEvaluation {
double mean = Double.NaN;
if (dat != null) {
mean = Mathematics.mean(dat);
mean = EvAStatisticalEvaluation.formatOutput(mean);
mean = StatisticalEvaluation.formatOutput(mean);
}
return "" + mean;
}
@ -199,7 +199,7 @@ public class EvAStatisticalEvaluation {
double median = Double.NaN;
if (dat != null) {
median = Mathematics.median2(dat, true);
median = EvAStatisticalEvaluation.formatOutput(median);
median = StatisticalEvaluation.formatOutput(median);
}
return "" + median;
@ -210,7 +210,7 @@ public class EvAStatisticalEvaluation {
double variance = Double.NaN;
if (dat != null) {
variance = Mathematics.variance(dat);
variance = EvAStatisticalEvaluation.formatOutput(variance);
variance = StatisticalEvaluation.formatOutput(variance);
}
return "" + variance;
}
@ -220,7 +220,7 @@ public class EvAStatisticalEvaluation {
double stdDev = Double.NaN;
if (dat != null) {
stdDev = Mathematics.stdDev(dat);
stdDev = EvAStatisticalEvaluation.formatOutput(stdDev);
stdDev = StatisticalEvaluation.formatOutput(stdDev);
}
return "" + stdDev;
}

2
src/eva2/optimization/statistics/EvAStatisticalEvaluationParams.java → src/eva2/optimization/statistics/StatisticalEvaluationParameters.java
View File

@ -9,7 +9,7 @@ import java.io.Serializable;
import java.util.List;
@eva2.util.annotation.Description(value = "Select statistical values to be calculated and tests to be performed.")
public class EvAStatisticalEvaluationParams implements Serializable {
public class StatisticalEvaluationParameters implements Serializable {
private StringSelection singleStats = new StringSelection(StatisticsOnSingleDataSet.mean, StatisticsOnSingleDataSet.getInfoStrings());
private StringSelection twoSampledStats = new StringSelection(StatisticsOnTwoSampledData.tTestUneqLenEqVar, StatisticsOnTwoSampledData.getInfoStrings());