- rangeLeft.
Variable in class resample.RVHistogram
-
- read(InputStream).
Method in class resample.ResampleVector
- Reads the vector data from an input stream (console, file or
something else).
- removeAllElements().
Method in class resample.ResampleVector
- Removes all elements of the vector.
- removeElement(double).
Method in class resample.ResampleVector
- Removes the element from the vector.
- removeElementAt(int).
Method in class resample.ResampleVector
- Deletes the element at the specified index.
- ResampleVector().
Constructor for class resample.ResampleVector
- Constructs an empty vector.
- ResampleVector(int).
Constructor for class resample.ResampleVector
- Constructs an empty vector with the specified storage capacity.
- ResampleVector(int, int).
Constructor for class resample.ResampleVector
- Constructs an empty vector with the specified storage
capacity and the specified capacityIncrement.
- resVec.
Variable in class resample.RVHistogram
-
- resVecSort.
Variable in class resample.RVHistogram
-
- runs(int, int).
Method in class resample.ResampleVector
-
Returns the number of clusters of a certain length.
- runs(RVPredicate).
Method in class resample.ResampleVector
-
Returns the number of clusters of a certain length.
- RVDescription.
Static variable in class resample.ResampleVector
-
- RVEqual.
Static variable in class resample.ResampleVector
-
- RVGreater.
Static variable in class resample.ResampleVector
-
- RVGreaterEqual.
Static variable in class resample.ResampleVector
-
- RVHistogram(int, int, ResampleVector).
Constructor for class resample.RVHistogram
-
constructor for abstract class:
xSize,ySize: canvas-dimension
ResampleVector: vector with the data to present
- RVHistogramCompressed(int, int, ResampleVector).
Constructor for class resample.RVHistogramCompressed
-
possible parameters for constructors:
xSize,ySize: canvas-dimension (mandatory)
ResampleVector: vector with the data to present (mandatory)
rangeLeft: show only x-values >= rangeLeft (optional)
rangeLeft makes sense if the vector contains too many elements
for the size of the canvas.
- RVHistogramCompressed(int, int, ResampleVector, int).
Constructor for class resample.RVHistogramCompressed
-
- RVHistogramLinear(int, int, ResampleVector).
Constructor for class resample.RVHistogramLinear
-
possible parameters for constructors:
xSize,ySize: canvas-dimension (mandatory)
ResampleVector: vector with the data to present (mandatory)
rangeLeft: show only x-values >= rangeLeft (optional)
rangeLeft makes sense if the vector contains too many elements
for the size of the canvas.
- RVHistogramLinear(int, int, ResampleVector, int).
Constructor for class resample.RVHistogramLinear
-
- RVHistogramPartSums(int, int, ResampleVector, int).
Constructor for class resample.RVHistogramPartSums
-
constructor-parameters:
xSize,ySize: canvas-dimension
ResampleVector: vector with the data to present
partCount: number of parts in which to split vector
- RVLess.
Static variable in class resample.ResampleVector
-
- RVLessEqual.
Static variable in class resample.ResampleVector
-
- RVPredicate().
Constructor for class resample.RVPredicate
-
constructor (): dummy
- RVPredicate(double).
Constructor for class resample.RVPredicate
- constructor (value): creates a new predicate
with to match against
- RVPredicateEqual(double).
Constructor for class resample.RVPredicateEqual
-
- RVPredicateEvenNumbers().
Constructor for class resample.RVPredicateEvenNumbers
-
- RVPredicateGreater(double).
Constructor for class resample.RVPredicateGreater
-
- RVPredicateGreaterEqual(double).
Constructor for class resample.RVPredicateGreaterEqual
-
- RVPredicateLess(double).
Constructor for class resample.RVPredicateLess
-
- RVPredicateLessEqual(double).
Constructor for class resample.RVPredicateLessEqual
-
- RVRandomNormalProcess().
Constructor for class resample.RVRandomNormalProcess
-
constructor ():
creates a new Random-object of normal distributed values
with mean 0.0 and standard deviation 1.0
- RVRandomNormalProcess(double, double).
Constructor for class resample.RVRandomNormalProcess
-
constructor (mean,standardDeviation):
creates a new Random-object of normal distributed values
with mean [mean] and standard deviation [standardDeviation]
- RVRandomProcess().
Constructor for class resample.RVRandomProcess
-
- RVRandomProcess(int, int).
Constructor for class resample.RVRandomProcess
-
- RVRandomUniformDoubleProcess().
Constructor for class resample.RVRandomUniformDoubleProcess
- constructor ():
creates a Random-object without interval for the random-methods to match.
- RVRandomUniformDoubleProcess(int, int).
Constructor for class resample.RVRandomUniformDoubleProcess
- constructor (int min, int max):
creates a Random-object with interval [min,max] for the random-methods to match
- RVRandomUniformIntProcess().
Constructor for class resample.RVRandomUniformIntProcess
- constructor ():
creates a Random-object without interval for the random-methods to match.
- RVRandomUniformIntProcess(int, int).
Constructor for class resample.RVRandomUniformIntProcess
- constructor (int min, int max):
creates a Random-object with interval [min,max] for the random-methods to match