本文整理汇总了Java中org.apache.commons.math.stat.descriptive.SummaryStatistics.getN方法的典型用法代码示例。如果您正苦于以下问题：Java SummaryStatistics.getN方法的具体用法？Java SummaryStatistics.getN怎么用？Java SummaryStatistics.getN使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.commons.math.stat.descriptive.SummaryStatistics的用法示例。
在下文中一共展示了SummaryStatistics.getN方法的14个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: getNextValue
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/**
* Generates a random value from this distribution.
*
* @return the random value.
* @throws IllegalStateException if the distribution has not been loaded
*/
public double getNextValue() throws IllegalStateException {
if (!loaded) {
throw new IllegalStateException("distribution not loaded");
}
// Start with a uniformly distributed random number in (0,1)
double x = Math.random();
// Use this to select the bin and generate a Gaussian within the bin
for (int i = 0; i < binCount; i++) {
if (x <= upperBounds[i]) {
SummaryStatistics stats = (SummaryStatistics)binStats.get(i);
if (stats.getN() > 0) {
if (stats.getStandardDeviation() > 0) { // more than one obs
return randomData.nextGaussian
(stats.getMean(),stats.getStandardDeviation());
} else {
return stats.getMean(); // only one obs in bin
}
}
}
}
throw new RuntimeException("No bin selected");
}
示例2: testNextGaussian
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/** test failure modes and distribution of nextGaussian() */
public void testNextGaussian() {
try {
randomData.nextGaussian(0,0);
fail("zero sigma -- IllegalArgumentException expected");
} catch (IllegalArgumentException ex) {
;
}
SummaryStatistics u = new SummaryStatistics();
for (int i = 0; i<largeSampleSize; i++) {
u.addValue(randomData.nextGaussian(0,1));
}
double xbar = u.getMean();
double s = u.getStandardDeviation();
double n = (double) u.getN();
/* t-test at .001-level TODO: replace with externalized t-test, with
* test statistic defined in TestStatistic
*/
assertTrue(Math.abs(xbar)/(s/Math.sqrt(n))< 3.29);
}
示例3: testNextGaussian
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/** test failure modes and distribution of nextGaussian() */
public void testNextGaussian() {
try {
randomData.nextGaussian(0, 0);
fail("zero sigma -- IllegalArgumentException expected");
} catch (IllegalArgumentException ex) {
// ignored
}
SummaryStatistics u = new SummaryStatistics();
for (int i = 0; i < largeSampleSize; i++) {
u.addValue(randomData.nextGaussian(0, 1));
}
double xbar = u.getMean();
double s = u.getStandardDeviation();
double n = u.getN();
/*
* t-test at .001-level TODO: replace with externalized t-test, with
* test statistic defined in TestStatistic
*/
assertTrue(Math.abs(xbar) / (s / Math.sqrt(n)) < 3.29);
}
示例4: getNextValue
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/**
* Generates a random value from this distribution.
*
* @return the random value.
* @throws IllegalStateException if the distribution has not been loaded
*/
public double getNextValue() throws IllegalStateException {
if (!loaded) {
throw MathRuntimeException.createIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
}
// Start with a uniformly distributed random number in (0,1)
double x = FastMath.random();
// Use this to select the bin and generate a Gaussian within the bin
for (int i = 0; i < binCount; i++) {
if (x <= upperBounds[i]) {
SummaryStatistics stats = binStats.get(i);
if (stats.getN() > 0) {
if (stats.getStandardDeviation() > 0) { // more than one obs
return randomData.nextGaussian
(stats.getMean(),stats.getStandardDeviation());
} else {
return stats.getMean(); // only one obs in bin
}
}
}
}
throw new MathRuntimeException(LocalizedFormats.NO_BIN_SELECTED);
}
示例5: testNextGaussian
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/** test failure modes and distribution of nextGaussian() */
public void testNextGaussian() {
try {
randomData.nextGaussian(0, 0);
fail("zero sigma -- MathIllegalArgumentException expected");
} catch (MathIllegalArgumentException ex) {
// ignored
}
SummaryStatistics u = new SummaryStatistics();
for (int i = 0; i < largeSampleSize; i++) {
u.addValue(randomData.nextGaussian(0, 1));
}
double xbar = u.getMean();
double s = u.getStandardDeviation();
double n = u.getN();
/*
* t-test at .001-level TODO: replace with externalized t-test, with
* test statistic defined in TestStatistic
*/
assertTrue(FastMath.abs(xbar) / (s / FastMath.sqrt(n)) < 3.29);
}
示例6: getNextValue
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/**
* Generates a random value from this distribution.
*
* @return the random value.
* @throws IllegalStateException if the distribution has not been loaded
*/
public double getNextValue() throws IllegalStateException {
if (!loaded) {
throw MathRuntimeException.createIllegalStateException(LocalizedFormats.DISTRIBUTION_NOT_LOADED);
}
// Start with a uniformly distributed random number in (0,1)
double x = randomData.nextUniform(0,1);
// Use this to select the bin and generate a Gaussian within the bin
for (int i = 0; i < binCount; i++) {
if (x <= upperBounds[i]) {
SummaryStatistics stats = binStats.get(i);
if (stats.getN() > 0) {
if (stats.getStandardDeviation() > 0) { // more than one obs
return randomData.nextGaussian
(stats.getMean(),stats.getStandardDeviation());
} else {
return stats.getMean(); // only one obs in bin
}
}
}
}
throw new MathRuntimeException(LocalizedFormats.NO_BIN_SELECTED);
}
示例7: testNextGaussian
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/** test failure modes and distribution of nextGaussian() */
@Test
public void testNextGaussian() {
try {
randomData.nextGaussian(0, 0);
Assert.fail("zero sigma -- MathIllegalArgumentException expected");
} catch (MathIllegalArgumentException ex) {
// ignored
}
SummaryStatistics u = new SummaryStatistics();
for (int i = 0; i < largeSampleSize; i++) {
u.addValue(randomData.nextGaussian(0, 1));
}
double xbar = u.getMean();
double s = u.getStandardDeviation();
double n = u.getN();
/*
* t-test at .001-level TODO: replace with externalized t-test, with
* test statistic defined in TestStatistic
*/
Assert.assertTrue(FastMath.abs(xbar) / (s / FastMath.sqrt(n)) < 3.29);
}
示例8: getNextValue
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/**
* Generates a random value from this distribution.
*
* @return the random value.
* @throws IllegalStateException if the distribution has not been loaded
*/
public double getNextValue() throws IllegalStateException {
if (!loaded) {
throw MathRuntimeException.createIllegalStateException("distribution not loaded");
}
// Start with a uniformly distributed random number in (0,1)
double x = Math.random();
// Use this to select the bin and generate a Gaussian within the bin
for (int i = 0; i < binCount; i++) {
if (x <= upperBounds[i]) {
SummaryStatistics stats = binStats.get(i);
if (stats.getN() > 0) {
if (stats.getStandardDeviation() > 0) { // more than one obs
return randomData.nextGaussian
(stats.getMean(),stats.getStandardDeviation());
} else {
return stats.getMean(); // only one obs in bin
}
}
}
}
throw new MathRuntimeException("no bin selected");
}
示例9: testNextGaussian
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/** test failure modes and distribution of nextGaussian() */
public void testNextGaussian() {
try {
double x = randomData.nextGaussian(0,0);
fail("zero sigma -- IllegalArgumentException expected");
} catch (IllegalArgumentException ex) {
;
}
SummaryStatistics u = SummaryStatistics.newInstance();
for (int i = 0; i<largeSampleSize; i++) {
u.addValue(randomData.nextGaussian(0,1));
}
double xbar = u.getMean();
double s = u.getStandardDeviation();
double n = (double) u.getN();
/* t-test at .001-level TODO: replace with externalized t-test, with
* test statistic defined in TestStatistic
*/
assertTrue(Math.abs(xbar)/(s/Math.sqrt(n))< 3.29);
}
示例10: testNextGaussian
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/** test failure modes and distribution of nextGaussian() */
public void testNextGaussian() {
try {
randomData.nextGaussian(0, 0);
fail("zero sigma -- IllegalArgumentException expected");
} catch (IllegalArgumentException ex) {
// ignored
}
SummaryStatistics u = new SummaryStatistics();
for (int i = 0; i < largeSampleSize; i++) {
u.addValue(randomData.nextGaussian(0, 1));
}
double xbar = u.getMean();
double s = u.getStandardDeviation();
double n = u.getN();
/*
* t-test at .001-level TODO: replace with externalized t-test, with
* test statistic defined in TestStatistic
*/
assertTrue(Math.abs(xbar) / (s / Math.sqrt(n)) < 3.29);
}
示例11: getNextValue
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/**
* Generates a random value from this distribution.
*
* @return the random value.
* @throws IllegalStateException if the distribution has not been loaded
*/
public double getNextValue() throws IllegalStateException {
if (!loaded) {
throw MathRuntimeException.createIllegalStateException("distribution not loaded");
}
// Start with a uniformly distributed random number in (0,1)
double x = Math.random();
// Use this to select the bin and generate a Gaussian within the bin
for (int i = 0; i < binCount; i++) {
if (x <= upperBounds[i]) {
SummaryStatistics stats = binStats.get(i);
if (stats.getN() > 0) {
if (stats.getStandardDeviation() > 0) { // more than one obs
return randomData.nextGaussian
(stats.getMean(),stats.getStandardDeviation());
} else {
return stats.getMean(); // only one obs in bin
}
}
}
}
throw new MathRuntimeException("no bin selected");
}
示例12: asStatisticalData
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
public static StatisticalData asStatisticalData(SummaryStatistics value){
StatisticalData d = CommonFactory.eINSTANCE.createStatisticalData();
long samples = value.getN();
d.setSamples(samples);
if (samples > 0) {
d.setMean(value.getMean());
d.setMin(value.getMin());
d.setMax(value.getMax());
d.setVariance(value.getVariance());
d.setGeometricMean(value.getGeometricMean());
d.setSum(value.getSum());
d.setSumOfLogs(value.getSumOfLogs());
d.setSumOfSquares(value.getSumsq());
d.setStandardDeviation(value.getStandardDeviation());
d.setSecondMoment(value.getSecondMoment());
} else {
d.setMean(0);
d.setMin(0);
d.setMax(0);
d.setVariance(0);
d.setGeometricMean(0);
d.setSum(0);
d.setSumOfLogs(0);
d.setSumOfSquares(0);
d.setStandardDeviation(0);
d.setSecondMoment(0);
}
return d;
}
示例13: format
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
/**
* Pretty print a time
* @param ss the stats defining the time
* @return a string representing the time
*/
public static String format(SummaryStatistics ss) {
if (ss.getN() == 1) {
return formatTime(ss.getMean());
}
return formatTime(ss.getMean(), ss.getStandardDeviation());
}
示例14: getValueFromSummaryStatistics
import org.apache.commons.math.stat.descriptive.SummaryStatistics; //导入方法依赖的package包/类
double getValueFromSummaryStatistics(SummaryStatistics summaryStatistics) {
return summaryStatistics.getN()==0 ? 0 : summaryStatistics.getStandardDeviation();
}