VTK
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Generates vtkTables with columns of random numbers using Gnu R. More...
#include <vtkRRandomTableSource.h>
Public Types | |
typedef vtkTableAlgorithm | Superclass |
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Public Member Functions | |
virtual const char * | GetClassName () |
virtual int | IsA (const char *type) |
void | PrintSelf (ostream &os, vtkIndent indent) |
int | GetNumberOfColumns () |
void | ClearTableOutput () |
void | SetRandGenSeed (const int seed) |
void | SetNumberOfRows (int nrows) |
int | GetNumberOfRows () |
void | SetStatisticalDistributionForColumn (int StatDistType, double param1, double param2, double param3, const char *ColumnName, int column_index) |
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virtual int | ProcessRequest (vtkInformation *, vtkInformationVector **, vtkInformationVector *) |
vtkTable * | GetOutput () |
vtkTable * | GetOutput (int index) |
void | SetInput (vtkDataObject *obj) |
void | SetInput (int index, vtkDataObject *obj) |
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int | HasExecutive () |
vtkExecutive * | GetExecutive () |
virtual void | SetExecutive (vtkExecutive *executive) |
virtual int | ModifyRequest (vtkInformation *request, int when) |
vtkInformation * | GetInputPortInformation (int port) |
vtkInformation * | GetOutputPortInformation (int port) |
int | GetNumberOfInputPorts () |
int | GetNumberOfOutputPorts () |
void | UpdateProgress (double amount) |
vtkInformation * | GetInputArrayInformation (int idx) |
void | RemoveAllInputs () |
vtkDataObject * | GetOutputDataObject (int port) |
virtual void | RemoveInputConnection (int port, vtkAlgorithmOutput *input) |
int | GetNumberOfInputConnections (int port) |
int | GetTotalNumberOfInputConnections () |
vtkAlgorithmOutput * | GetInputConnection (int port, int index) |
virtual void | Update () |
virtual void | UpdateInformation () |
virtual void | UpdateWholeExtent () |
void | ConvertTotalInputToPortConnection (int ind, int &port, int &conn) |
virtual double | ComputePriority () |
int | ProcessRequest (vtkInformation *request, vtkCollection *inInfo, vtkInformationVector *outInfo) |
virtual int | ComputePipelineMTime (vtkInformation *request, vtkInformationVector **inInfoVec, vtkInformationVector *outInfoVec, int requestFromOutputPort, unsigned long *mtime) |
virtual vtkInformation * | GetInformation () |
virtual void | SetInformation (vtkInformation *) |
virtual void | Register (vtkObjectBase *o) |
virtual void | UnRegister (vtkObjectBase *o) |
virtual void | SetAbortExecute (int) |
virtual int | GetAbortExecute () |
virtual void | AbortExecuteOn () |
virtual void | AbortExecuteOff () |
virtual void | SetProgress (double) |
virtual double | GetProgress () |
void | SetProgressText (const char *ptext) |
virtual char * | GetProgressText () |
virtual unsigned long | GetErrorCode () |
virtual void | SetInputArrayToProcess (int idx, int port, int connection, int fieldAssociation, const char *name) |
virtual void | SetInputArrayToProcess (int idx, int port, int connection, int fieldAssociation, int fieldAttributeType) |
virtual void | SetInputArrayToProcess (int idx, vtkInformation *info) |
virtual void | SetInputArrayToProcess (int idx, int port, int connection, const char *fieldAssociation, const char *attributeTypeorName) |
vtkDataObject * | GetInputDataObject (int port, int connection) |
virtual void | SetInputConnection (int port, vtkAlgorithmOutput *input) |
virtual void | SetInputConnection (vtkAlgorithmOutput *input) |
virtual void | AddInputConnection (int port, vtkAlgorithmOutput *input) |
virtual void | AddInputConnection (vtkAlgorithmOutput *input) |
vtkAlgorithmOutput * | GetOutputPort (int index) |
vtkAlgorithmOutput * | GetOutputPort () |
virtual void | SetReleaseDataFlag (int) |
virtual int | GetReleaseDataFlag () |
void | ReleaseDataFlagOn () |
void | ReleaseDataFlagOff () |
int | UpdateExtentIsEmpty (vtkDataObject *output) |
int | UpdateExtentIsEmpty (vtkInformation *pinfo, int extentType) |
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virtual void | DebugOn () |
virtual void | DebugOff () |
unsigned char | GetDebug () |
void | SetDebug (unsigned char debugFlag) |
virtual void | Modified () |
virtual unsigned long | GetMTime () |
unsigned long | AddObserver (unsigned long event, vtkCommand *, float priority=0.0f) |
unsigned long | AddObserver (const char *event, vtkCommand *, float priority=0.0f) |
vtkCommand * | GetCommand (unsigned long tag) |
void | RemoveObserver (vtkCommand *) |
void | RemoveObservers (unsigned long event, vtkCommand *) |
void | RemoveObservers (const char *event, vtkCommand *) |
int | HasObserver (unsigned long event, vtkCommand *) |
int | HasObserver (const char *event, vtkCommand *) |
void | RemoveObserver (unsigned long tag) |
void | RemoveObservers (unsigned long event) |
void | RemoveObservers (const char *event) |
void | RemoveAllObservers () |
int | HasObserver (unsigned long event) |
int | HasObserver (const char *event) |
template<class U , class T > | |
unsigned long | AddObserver (unsigned long event, U observer, void(T::*callback)(), float priority=0.0f) |
template<class U , class T > | |
unsigned long | AddObserver (unsigned long event, U observer, void(T::*callback)(vtkObject *, unsigned long, void *), float priority=0.0f) |
int | InvokeEvent (unsigned long event, void *callData) |
int | InvokeEvent (const char *event, void *callData) |
int | InvokeEvent (unsigned long event) |
int | InvokeEvent (const char *event) |
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const char * | GetClassName () const |
virtual void | Delete () |
virtual void | FastDelete () |
void | Print (ostream &os) |
void | SetReferenceCount (int) |
void | PrintRevisions (ostream &os) |
virtual void | PrintHeader (ostream &os, vtkIndent indent) |
virtual void | PrintTrailer (ostream &os, vtkIndent indent) |
int | GetReferenceCount () |
Static Public Member Functions | |
static vtkRRandomTableSource * | New () |
static int | IsTypeOf (const char *type) |
static vtkRRandomTableSource * | SafeDownCast (vtkObject *o) |
Generates vtkTables with columns of random numbers using Gnu R.
Note - An installation of Gnu R is required to build and use this class.
vtkRRandomTableSource uses the Gnu R math C language API for statistical distributions to generate vtkTables with columns of random numbers selected from a chosen distribution. The available distributions are as follows:
Normal, Cauchy, F, Student T, Poisson, Chi-Square, Exponential, Binomial, Beta, Geometric, Uniform, Gamma, Log-Normal, Logistic, Hyper-Geometric, Weibull, Negative Binomial, Wilcox
The default output for the class is a table of one column with ten rows of random numbers chosen from a Normal distribution of mean 0.0 and standard deviation of 1.0.
Use SetNumberOfRows() to set the number of rows (random numbers) in the output table.
See comments for SetStatisticalDistributionForColumn() to set the distribution output for a particular column or all columns in the output table.
Definition at line 64 of file vtkRRandomTableSource.h.
Reimplemented from vtkTableAlgorithm.
Definition at line 70 of file vtkRRandomTableSource.h.
Available statistical distribution output types. Depending on the distribution type, up to three parameters (param1, param2, param3) must be specified when using SetStatisticalDistributionForColumn().
WILCOXONRANKSUM | |
WILCOXONSIGNEDRANK | |
LOGISTIC | |
WEIBULL | |
POISSON | |
NEGBINOMIAL | |
HYPERGEOM | |
GEOM | |
EXP | |
CAUCHY | |
T | |
F | |
LOGNORMAL | |
GAMMA | |
UNIF | |
BETA | |
BINOMIAL | |
NORMAL | |
CHISQUARE |
Definition at line 95 of file vtkRRandomTableSource.h.
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Create an object with Debug turned off, modified time initialized to zero, and reference counting on.
Reimplemented from vtkTableAlgorithm.
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Reimplemented from vtkTableAlgorithm.
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Return 1 if this class type is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h.
Reimplemented from vtkTableAlgorithm.
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Return 1 if this class is the same type of (or a subclass of) the named class. Returns 0 otherwise. This method works in combination with vtkTypeMacro found in vtkSetGet.h.
Reimplemented from vtkTableAlgorithm.
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Reimplemented from vtkTableAlgorithm.
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Methods invoked by print to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from vtkTableAlgorithm.
void vtkRRandomTableSource::SetNumberOfRows | ( | int | nrows | ) |
Set and Get the number of rows in the output table (random numbers).
int vtkRRandomTableSource::GetNumberOfRows | ( | ) |
Set and Get the number of rows in the output table (random numbers).
int vtkRRandomTableSource::GetNumberOfColumns | ( | ) |
Returns number of columns in the output table.
void vtkRRandomTableSource::ClearTableOutput | ( | ) |
Clears table output to zero output columns. Number of table rows is unchanged.
void vtkRRandomTableSource::SetRandGenSeed | ( | const int | seed | ) |
Set the random seed used by Gnu R to generate output. The default is to use the random seed provided by Gnu R based on the current time.
void vtkRRandomTableSource::SetStatisticalDistributionForColumn | ( | vtkRRandomTableSource::StatDistType | t, |
double | param1, | ||
double | param2, | ||
double | param3, | ||
const char * | ColumnName, | ||
int | column_index | ||
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Set the statistical distribution to generate random numbers for a particular column or all columns in the output table. Use the above documented distribution types, for example use vtkRRandomTableSource::Normal for a Normal distribution. Set unused parameter values to 0.0. For example, a Normal distribution uses only param1 and param2 as the mean and the standard deviation respectively. Set param3 to 0.0. If column_index equals the current number of columns in the output table, a new column will be added to the output table and initialized with the input distribution parameters.
void vtkRRandomTableSource::SetStatisticalDistributionForColumn | ( | int | StatDistType, |
double | param1, | ||
double | param2, | ||
double | param3, | ||
const char * | ColumnName, | ||
int | column_index | ||
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Python wrapped version of above method. Use integer equivalent of StatDistType.
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protectedvirtual |
This is called by the superclass. This is the method you should override.
Reimplemented from vtkTableAlgorithm.