Uses of Class
adams.data.spreadsheet.matrixstatistic.AbstractMatrixStatistic

Packages that use AbstractMatrixStatistic

Package	Description
adams.data.spreadsheet.matrixstatistic
adams.flow.transformer

Uses of AbstractMatrixStatistic in adams.data.spreadsheet.matrixstatistic

Subclasses of AbstractMatrixStatistic in adams.data.spreadsheet.matrixstatistic

Modifier and Type	Class	Description
class	Max	Determines the largest numeric value in the matrix, skips NaN and infinity values.
class	Mean	Determines the mean of the numeric values in the matrix, skips NaN and infinite values.
class	Median	Determines the median of the numeric values in the matrix, skips NaN and infinite values.
class	Min	Determines the smallest numeric value in the matrix, skips NaN and infinite values.
class	Missing	Counts the missing cells in the spreadsheet.
class	MultiMatrixStatistic	Combines the statistics calculated from the specified statistic generators.
class	StandardDeviation	Determines the standard deviation of the numeric values in the matrix, skips NaN and infinite values.

Fields in adams.data.spreadsheet.matrixstatistic declared as AbstractMatrixStatistic

Modifier and Type	Field	Description
protected AbstractMatrixStatistic[]	MultiMatrixStatistic.m_Statistics	the statistics to calculate.

Methods in adams.data.spreadsheet.matrixstatistic that return AbstractMatrixStatistic

Modifier and Type	Method	Description
AbstractMatrixStatistic[]	MultiMatrixStatistic.getStatistics()	Returns the statistic generators in use.

Methods in adams.data.spreadsheet.matrixstatistic with parameters of type AbstractMatrixStatistic

Modifier and Type	Method	Description
void	MultiMatrixStatistic.setStatistics(AbstractMatrixStatistic[] value)	Sets the statistic generators to use.

Uses of AbstractMatrixStatistic in adams.flow.transformer

Fields in adams.flow.transformer declared as AbstractMatrixStatistic

Modifier and Type	Field	Description
protected AbstractMatrixStatistic	SpreadSheetMatrixStatistic.m_Statistic	the statistic to generate.

Methods in adams.flow.transformer that return AbstractMatrixStatistic

Modifier and Type	Method	Description
AbstractMatrixStatistic	SpreadSheetMatrixStatistic.getStatistic()	Returns the statistic to generate

Methods in adams.flow.transformer with parameters of type AbstractMatrixStatistic

Modifier and Type	Method	Description
void	SpreadSheetMatrixStatistic.setStatistic(AbstractMatrixStatistic value)	Sets the statistic to generate.