SciDAVis  1.D4
Public Member Functions | Protected Member Functions | Private Member Functions
Correlation Class Reference

#include <Correlation.h>

Inheritance diagram for Correlation:

List of all members.

Public Member Functions

 Correlation (ApplicationWindow *parent, Table *t, const QString &colName1, const QString &colName2)
void setDataFromTable (Table *t, const QString &colName1, const QString &colName2)
- Public Member Functions inherited from Filter
int dataSize ()
 Returns the size of the fitted data set.
bool error ()
 Filter (ApplicationWindow *parent, Table *t=0, const char *name=0)
 Filter (ApplicationWindow *parent, Graph *g=0, const char *name=0)
virtual QString legendInfo ()
 Output string added to the plot as a new legend.
virtual bool run ()
 Actually does the job. Should be reimplemented in derived classes.
void setColor (int colorId)
 Sets the color of the output fit curve.
void setColor (const QString &colorName)
 Sets the color of the output fit curve. Provided for convenience. To be used in scripts only!
virtual void setDataCurve (int curve, double start, double end)
bool setDataFromCurve (const QString &curveTitle, Graph *g=0)
bool setDataFromCurve (const QString &curveTitle, double from, double to, Graph *g=0)
void setInterval (double from, double to)
 Changes the data range if the source curve was already assigned. Provided for convenience.
void setMaximumIterations (int iter)
 Sets the maximum number of iterations to be performed during an iterative session.
void setOutputPoints (int points)
 Sets the number of points in the output curve.
void setOutputPrecision (int digits)
 Sets the precision used for the output.
void setTolerance (double eps)
 Sets the tolerance used by the GSL routines.
virtual void showLegend ()
 Adds a new legend to the plot. Calls virtual legendInfo()
 ~Filter ()

Protected Member Functions

void addResultCurve ()
 Handles the graphical output.
- Protected Member Functions inherited from Filter
QwtPlotCurve * addResultCurve (double *x, double *y)
 Adds the result curve to the target output plot window. Creates a hidden table and frees the input data from memory.
virtual void calculateOutputData (double *X, double *Y)
 Calculates the data for the output curve and store it in the X an Y vectors.
int curveIndex (const QString &curveTitle, Graph *g)
 Performs checks and returns the index of the source data curve if OK, -1 otherwise.
virtual bool isDataAcceptable ()
virtual QString logInfo ()
 Output string added to the log pannel of the application.

Private Member Functions

virtual void output ()
 Performs the data analysis and takes care of the output.

Additional Inherited Members

- Protected Attributes inherited from Filter
QwtPlotCurve * d_curve
 The curve to be analysed.
int d_curveColorIndex
 Color index of the result curve.
QString d_explanation
 String explaining the operation in the comment of the result table and in the project explorer.
double d_from
 Data interval.
 The graph where the result curve should be displayed.
bool d_init_err
 Error flag telling if something went wrong during the initialization phase.
int d_max_iterations
 Maximum number of iterations per fit.
int d_min_points
 Minimum number of data points necessary to perform the operation.
int d_n
 Size of the data arrays.
int d_points
 Number of result points to de calculated and displayed in the output curve.
int d_prec
 Precision (number of significant digits) used for the results output.
bool d_sort_data
 Specifies if the filter needs sorted data as input.
 A table source of data.
double d_to
double d_tolerance
 GSL Tolerance, if ever needed...
double * d_x
 x data set to be analysed
double * d_y
 y data set to be analysed

Constructor & Destructor Documentation

Correlation::Correlation ( ApplicationWindow parent,
Table t,
const QString &  colName1,
const QString &  colName2 

References setDataFromTable().

Member Function Documentation

void Correlation::addResultCurve ( )
void Correlation::output ( )

Performs the data analysis and takes care of the output.

Reimplemented from Filter.

References addResultCurve(), Filter::d_n, Filter::d_x, and Filter::d_y.

void Correlation::setDataFromTable ( Table t,
const QString &  colName1,
const QString &  colName2 

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