Matrix (Macrofocus MOLAP API for Swing SpecificationMOLAP is a Multidimensional, Open-Source, In-Memory, Object-Oriented, and Embeddable API for aggregating datathrough computationally efficient multidimensional cubes developed by Macrofocus. It supports the usualdrill-down, drill-up, slicing, dicing, and pivot operations, alongside a wide choice of built-inaggregation functions, with many additional distinctive features.A good and efficient starting point is the use of the {@link com.macrofocus.molap.dataframe.DataFrameFactory} class. It will get you started within minutes!)

All Superinterfaces:

DataFrame<R,C,java.lang.Number>

All Known Subinterfaces:

MutableMatrix<R,C>

All Known Implementing Classes:

AbstractMatrix, CacheDistanceMatrix, CacheMatrix, CalibratedDistanceMatrix, ColumnCorrelationMatrix, NormalizedMatrix, NumberDataFrame, OpMatrix, SimpleMutableMatrix, StatMatrix
```
public interface Matrix<R,C>
extends DataFrame<R,C,java.lang.Number>
```

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`Vector<R>`	`getColumnVector(C column)`
`double`	`getDouble(R row, C column)`
`Vector<C>`	`getRowVector(R row)`
`boolean`	`isAvailable(R row, C column)`
`default Matrix<R,C>`	`scalarDivide(double denom)`
`default Matrix<R,C>`	`scalarMult(double mul)`
`default Matrix<R,C>`	`scalarPlus(double m2)`

Methods inherited from interface com.macrofocus.molap.dataframe.DataFrame
addDataFrameListener, addWeakDataFrameListener, aggregate, aggregate, append, appendAndReindex, benchmark, columns, filter, getCentroid, getColumn, getColumnAddress, getColumnClass, getColumnCount, getColumnIndex, getColumnKey, getColumnName, getConstant, getCount, getCountDistinct, getCountDistinctWithNull, getDataFrameAggregation, getDistributiveStatistics, getFirst, getFirstQuartile, getMax, getMean, getMedian, getMin, getRandom, getRow, getRowAddress, getRowClass, getRowCount, getRowIndex, getRowKey, getStatistics, getStdDev, getSum, getThirdQuartile, getUnivariateStatistics, getValueAt, getVariance, getVarianceByPopulation, getWeightedMean, getWeightedSum, join, orderRows, print, print, printSchema, reindexColumns, reindexRows, reindexRows, reindexRows, reindexRows, reindexRows, remapColumns, removeColumns, removeDataFrameListener, removeDataFrameListeners, removeDuplicates, rows

Method Detail

isAvailable

boolean isAvailable(R row,
                    C column)

getDouble

double getDouble(R row,
                 C column)

getRowVector
```
Vector<C> getRowVector(R row)
```

getColumnVector

Vector<R> getColumnVector(C column)

scalarPlus

default Matrix<R,C> scalarPlus(double m2)

scalarMult

default Matrix<R,C> scalarMult(double mul)

scalarDivide

default Matrix<R,C> scalarDivide(double denom)