QwtBoxStatisticsCalculator Class Reference

Helper class for computing boxplot statistics from raw data. More...

#include <qwt_box_statistics.h>

Public Types
enum	WhiskerMethod {   Tukey , Percentile , MinMax , StandardDeviation ,   StandardError }
	Whisker calculation method. More...

Static Public Member Functions
static QwtBoxSample	calculate (double position, const QVector< double > &sortedData, WhiskerMethod method=Tukey, double coefficient=1.5)
	Compute QwtBoxSample from sorted data.
static QwtBoxSample	calculateFromRaw (double position, const QVector< double > &rawData, WhiskerMethod method=Tukey, double coefficient=1.5)
	Compute QwtBoxSample from unsorted data (sorts internally)
static QVector< double >	extractOutliers (const QwtBoxSample &sample, const QVector< double > &sortedData)
	Extract outliers given box sample and sorted data.
static void	calculateFull (double position, const QVector< double > &rawData, QwtBoxSample &sample, QwtBoxOutlierSample &outliers, WhiskerMethod method=Tukey, double coefficient=1.5)
	Compute full statistics (sample + outliers) in one call.

Detailed Description

Helper class for computing boxplot statistics from raw data.

Provides static methods to calculate whisker bounds, quartiles, median, and extract outliers using various methods (Tukey, percentile, SD, SE).

Member Enumeration Documentation

WhiskerMethod

enum QwtBoxStatisticsCalculator::WhiskerMethod

Whisker calculation method.

Enumerator
Tukey	Tukey's method: whiskers extend to 1.5×IQR from Q1/Q3 (default)
Percentile	Percentile method: whiskers at the c-th / (100-c)-th percentile (c = tail percentage)
MinMax	Min/Max method: whiskers at actual data min/max.
StandardDeviation	Standard deviation method: whiskers at mean ± coeff×SD.
StandardError	Standard error method: whiskers at mean ± coeff×SE.

Member Function Documentation

calculate()

QwtBoxSample QwtBoxStatisticsCalculator::calculate ( double  position, const QVector< double > &  sortedData, WhiskerMethod  method = Tukey, double  coefficient = 1.5  )

static

Compute QwtBoxSample from sorted data.

Compute boxplot statistics from sorted data.

Calculates whisker bounds, quartiles, median, and outlier count using the specified whisker method.

Parameters

[in]	position	The position value for the resulting sample
[in]	sortedData	Pre-sorted data vector
[in]	method	Whisker calculation method (default: Tukey)
[in]	coefficient	Whisker coefficient (default: 1.5)

Returns

QwtBoxSample containing computed statistics

calculateFromRaw()

QwtBoxSample QwtBoxStatisticsCalculator::calculateFromRaw ( double  position, const QVector< double > &  rawData, WhiskerMethod  method = Tukey, double  coefficient = 1.5  )

static

Compute QwtBoxSample from unsorted data (sorts internally)

Compute boxplot statistics from unsorted raw data.

Sorts the data internally and then calculates statistics.

Parameters

[in]	position	The position value for the resulting sample
[in]	rawData	Unsorted raw data vector
[in]	method	Whisker calculation method (default: Tukey)
[in]	coefficient	Whisker coefficient (default: 1.5)

Returns

QwtBoxSample containing computed statistics

calculateFull()

void QwtBoxStatisticsCalculator::calculateFull ( double  position, const QVector< double > &  rawData, QwtBoxSample &  sample, QwtBoxOutlierSample &  outliers, WhiskerMethod  method = Tukey, double  coefficient = 1.5  )

static

Compute full statistics (sample + outliers) in one call.

Compute full boxplot statistics including outliers.

Calculates both the box sample and extracts outlier values in one call.

Parameters

[in]	position	The position value for the resulting samples
[in]	rawData	Unsorted raw data vector
[out]	sample	Output parameter for computed box statistics
[out]	outliers	Output parameter for extracted outlier values
[in]	method	Whisker calculation method (default: Tukey)
[in]	coefficient	Whisker coefficient (default: 1.5)

extractOutliers()

QVector< double > QwtBoxStatisticsCalculator::extractOutliers ( const QwtBoxSample &  sample, const QVector< double > &  sortedData  )

static

Extract outliers given box sample and sorted data.

Extract outlier values from sorted data based on box sample.

Identifies all values outside the whisker bounds as outliers.

Parameters

[in]	sample	The box sample containing whisker bounds
[in]	sortedData	Pre-sorted data vector

Returns

Vector of outlier values

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The documentation for this class was generated from the following files:

• /home/runner/work/QWT/QWT/src/core/qwt_box_statistics.h
• /home/runner/work/QWT/QWT/src/core/qwt_box_statistics.cpp