LARS
LARS (Light Augmented Reality System) is an open-source framework for light-based interaction and real-time tracking in multi-robot experiments. Inspired by ARK, LARS extends the augmented reality paradigm to robotic collectives by projecting dynamic visual cues and environments onto the arena, enabling new experimental possibilities for collective robotics research, education, and outreach. LARS features integrated tracking, light projection, and modular experiment control with a user-friendly Qt GUI.
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QCPStatisticalBoxData Class Reference

Holds the data of one single data point for QCPStatisticalBox. More...

Public Member Functions

 QCPStatisticalBoxData ()
 QCPStatisticalBoxData (double key, double minimum, double lowerQuartile, double median, double upperQuartile, double maximum, const QVector< double > &outliers=QVector< double >())
double sortKey () const
double mainKey () const
double mainValue () const
QCPRange valueRange () const

Static Public Member Functions

static QCPStatisticalBoxData fromSortKey (double sortKey)
static bool sortKeyIsMainKey ()

Public Attributes

double key
double minimum
double lowerQuartile
double median
double upperQuartile
double maximum
QVector< double > outliers

Detailed Description

Holds the data of one single data point for QCPStatisticalBox.

The stored data is:

  • key: coordinate on the key axis of this data point (this is the mainKey and the sortKey)
  • minimum: the position of the lower whisker, typically the minimum measurement of the sample that's not considered an outlier.
  • lowerQuartile: the lower end of the box. The lower and the upper quartiles are the two statistical quartiles around the median of the sample, they should contain 50% of the sample data.
  • median: the value of the median mark inside the quartile box. The median separates the sample data in half (50% of the sample data is below/above the median). (This is the mainValue)
  • upperQuartile: the upper end of the box. The lower and the upper quartiles are the two statistical quartiles around the median of the sample, they should contain 50% of the sample data.
  • maximum: the position of the upper whisker, typically the maximum measurement of the sample that's not considered an outlier.

The container for storing multiple data points is QCPStatisticalBoxDataContainer. It is a typedef for QCPDataContainer with QCPStatisticalBoxData as the DataType template parameter. See the documentation there for an explanation regarding the data type's generic methods.

See also
QCPStatisticalBoxDataContainer

Constructor & Destructor Documentation

◆ QCPStatisticalBoxData() [1/2]

QCPStatisticalBoxData::QCPStatisticalBoxData ( )

Constructs a data point with key and all values set to zero.

◆ QCPStatisticalBoxData() [2/2]

QCPStatisticalBoxData::QCPStatisticalBoxData ( double key,
double minimum,
double lowerQuartile,
double median,
double upperQuartile,
double maximum,
const QVector< double > & outliers = QVector<double>() )

Constructs a data point with the specified key, minimum, lowerQuartile, median, upperQuartile, maximum and optionally a number of outliers.

Member Function Documentation

◆ fromSortKey()

QCPStatisticalBoxData QCPStatisticalBoxData::fromSortKey ( double sortKey)
inlinestatic

Returns a data point with the specified sortKey. All other members are set to zero.

For a general explanation of what this method is good for in the context of the data container, see the documentation of QCPDataContainer.

◆ mainKey()

double QCPStatisticalBoxData::mainKey ( ) const
inline

Returns the key member of this data point.

For a general explanation of what this method is good for in the context of the data container, see the documentation of QCPDataContainer.

◆ mainValue()

double QCPStatisticalBoxData::mainValue ( ) const
inline

Returns the median member of this data point.

For a general explanation of what this method is good for in the context of the data container, see the documentation of QCPDataContainer.

◆ sortKey()

double QCPStatisticalBoxData::sortKey ( ) const
inline

Returns the key member of this data point.

For a general explanation of what this method is good for in the context of the data container, see the documentation of QCPDataContainer.

◆ sortKeyIsMainKey()

bool QCPStatisticalBoxData::sortKeyIsMainKey ( )
inlinestatic

Since the member key is both the data point key coordinate and the data ordering parameter, this method returns true.

For a general explanation of what this method is good for in the context of the data container, see the documentation of QCPDataContainer.

◆ valueRange()

QCPRange QCPStatisticalBoxData::valueRange ( ) const
inline

Returns a QCPRange spanning from the minimum to the maximum member of this statistical box data point, possibly further expanded by outliers.

For a general explanation of what this method is good for in the context of the data container, see the documentation of QCPDataContainer.


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