org.ow2.clif.analyze.statistics.util.data

Class LongStatistics

java.lang.Object

org.ow2.clif.analyze.statistics.util.data.StatOnLongs

org.ow2.clif.analyze.statistics.util.data.LongStatistics

public class LongStatistics
extends StatOnLongs

Class for performances statistical calculation (data stored in ListOfLong) with median, average value, standard deviation ... more specifically tuned to time measures

Author:

Guy Vachet

Field Summary

Fields inherited from class org.ow2.clif.analyze.statistics.util.data.StatOnLongs

DEFAULT_FACTOR, DEFAULT_PERCENT_MIN, logger, MIN_SIZE_OF_STATISTICAL_DATA

Constructor Summary

Constructors

Constructor and Description
LongStatistics() longStat empty constructor
LongStatistics(int initialCapacity) Constructs a LongStatistics with an empty list of long contructed with the specified initial capacity.
LongStatistics(ListOfLong lol) longStat constructor based on existing ListOfLong.

Method Summary

Modifier and Type	Method and Description
void	outputFirstTenthReckoning(java.lang.String label, boolean verbose) prints the first tenth reckoning on the standard output stream.
void	outputRawDataFrequency(int number) prints the list which contains the data distribution in 'number' buckets.
void	outputRawDataQuantiles(int number) prints list which contains the raw data distribution in 'number' quantiles (buckets that contain the same number of values).
void	outputResultsOfRawDataSlicing(int number) Prints the medians of 'number' slices of raw data (increased-value sort).
void	outputStatisticalSortDataFrequency(int number) prints the list which contains the data distribution in 'number' buckets.
void	outputStatisticalSortDataQuantiles(int number) prints the list which contains the data distribution in 'number' quantiles (buckets that contain the same number of values).
void	outputStatisticalSummary(java.lang.String label, boolean verbose) print the statistical summary of data on the standard output stream.
void	outputStatistics(java.lang.String label, boolean verbose) print the data analyze by enhanced statistics, including median result, on the standard output stream.
java.util.List<Bucket>	rawDataFrequency(int number) determines the distribution of raw data, as the number of values in 'number' buckets.
java.util.List<Quantile>	rawDataQuantiles(int number)
java.util.List<Bucket>	statisticalSortDataFrequency(int number) determines the distribution of data after statistical rejection, as the number of values in 'number' buckets ; the data is used within the statistical range (rejection based on mean +/- factor x std).
java.util.List<Quantile>	statisticalSortDataQuantiles(int number) determines the list of 'number' buckets (= quantile because contains the same number of values) that divide data after statistical rejection.

Methods inherited from class org.ow2.clif.analyze.statistics.util.data.StatOnLongs

addAll, addAll, addLong, getData, getLongAt, getMax, getMaxStatSortIndex, getMaxStatSortValue, getMean, getMedian, getMedian, getMin, getMinStatSortIndex, getMinStatSortValue, getNumberOfValues, getSortedData, getSortedValue, getStatisticalSortFactor, getStatisticalSortPercentage, getStatSortDataNumber, getStatSortMean, getStatSortMedian, getStatSortStd, getStd, keptRate, outputData, outputData, outputSortedData, outputSortedData, removeLongAt, reset, setLogger, setStatisticalSortFactor, setStatisticalSortPercentage, size, subMax, subMean, subMean, subMedian, subMin

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

LongStatistics

public LongStatistics()

longStat empty constructor

LongStatistics

public LongStatistics(int initialCapacity)

Constructs a LongStatistics with an empty list of long contructed with the specified initial capacity.

Parameters:

initialCapacity -

LongStatistics

public LongStatistics(ListOfLong lol)

longStat constructor based on existing ListOfLong.

Parameters:

lol - the ListOfLong as initial value.

Method Detail

outputStatisticalSummary

public void outputStatisticalSummary(java.lang.String label,
                                     boolean verbose)

print the statistical summary of data on the standard output stream.

Parameters:

label - of the statistic

verbose - mode

outputStatistics

public void outputStatistics(java.lang.String label,
                             boolean verbose)

print the data analyze by enhanced statistics, including median result, on the standard output stream.

Parameters:

label - of the statistic

verbose - mode

outputFirstTenthReckoning

public void outputFirstTenthReckoning(java.lang.String label,
                                      boolean verbose)

prints the first tenth reckoning on the standard output stream.

Parameters:

label - of the statistic

verbose - mode

rawDataFrequency

public java.util.List<Bucket> rawDataFrequency(int number)

determines the distribution of raw data, as the number of values in 'number' buckets.

Parameters:

number - the number of groups in which data is distributed.

Returns:

the list of Bucket objects that represent the minimal threshold (included) and the maximal threshold (excluded) and the number of values in each bucket.

See Also:

Bucket

outputRawDataFrequency

public void outputRawDataFrequency(int number)

prints the list which contains the data distribution in 'number' buckets. The raw data is used. The format is :

...

Parameters:

number - the number of groups in which data is distributed.

statisticalSortDataFrequency

public java.util.List<Bucket> statisticalSortDataFrequency(int number)

determines the distribution of data after statistical rejection, as the number of values in 'number' buckets ; the data is used within the statistical range (rejection based on mean +/- factor x std).

Parameters:

number - the number of groups in which data is distributed.

Returns:

the list of Bucket objects that represent the minimal threshold (included) and the maximal threshold (excluded) and the number of values in each bucket.

See Also:

Bucket

outputStatisticalSortDataFrequency

public void outputStatisticalSortDataFrequency(int number)

prints the list which contains the data distribution in 'number' buckets. The statistical consistant data is used. The format is :

...

Parameters:

number - the number of groups in which data is distributed.

rawDataQuantiles

public java.util.List<Quantile> rawDataQuantiles(int number)

outputRawDataQuantiles

public void outputRawDataQuantiles(int number)

prints list which contains the raw data distribution in 'number' quantiles (buckets that contain the same number of values).

Parameters:

number - the number of groups in which raw data is distributed.

statisticalSortDataQuantiles

public java.util.List<Quantile> statisticalSortDataQuantiles(int number)

determines the list of 'number' buckets (= quantile because contains the same number of values) that divide data after statistical rejection.

Parameters:

number - the number of groups in which data is distributed.

Returns:

the list of Quantiles that divide data as set of min (included) and max (excluded) thresholds. All buckets have the same size.

See Also:

Quantile

outputStatisticalSortDataQuantiles

public void outputStatisticalSortDataQuantiles(int number)

prints the list which contains the data distribution in 'number' quantiles (buckets that contain the same number of values). The statistical sort data (rejection based on mean +/- factor x std).

Parameters:

number - the number of groups in which data is distributed.

outputResultsOfRawDataSlicing

public void outputResultsOfRawDataSlicing(int number)

Prints the medians of 'number' slices of raw data (increased-value sort).

Parameters:

number - the number of groups in which data is sliced up.