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double | eval (double *par, double x) |
| Calculates the data for the output fit curve. More...
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void | guessInitialValues () |
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void | setLogistic (bool on=true) |
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| SigmoidalFit (ApplicationWindow *parent, QwtPlotCurve *) |
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| SigmoidalFit (ApplicationWindow *parent, QwtPlotCurve *, double, double) |
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| SigmoidalFit (ApplicationWindow *parent, Graph *g) |
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| SigmoidalFit (ApplicationWindow *parent, Graph *g, const QString &curveTitle) |
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| SigmoidalFit (ApplicationWindow *parent, Graph *g, const QString &curveTitle, double start, double end) |
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| SigmoidalFit (ApplicationWindow *parent, Table *t, const QString &xCol, const QString &yCol, int startRow=1, int endRow=-1) |
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double | adjustedRSquare () |
| Returns adjusted R^2. More...
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double | chiSquare () |
| Returns the sum of squares of the residuals from the best-fit line. More...
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Matrix * | covarianceMatrix (const QString &matrixName) |
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double * | errors () |
| Returns a vector with the standard deviations of the results. More...
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QString | fileName () |
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| Fit (ApplicationWindow *parent, QwtPlotCurve *c) |
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| Fit (ApplicationWindow *parent, Graph *g=0, const QString &name=QString()) |
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| Fit (ApplicationWindow *parent, Table *t, const QString &name=QString()) |
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virtual void | fit () |
| Actually does the fit. Should be reimplemented in derived classes. More...
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QString | formula () |
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void | generateFunction (bool yes, int points=100) |
| Specifies weather the result of the fit is a function curve. More...
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double | initialGuess (int parIndex) |
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double | lcl (int parIndex, double confidenceLevel) |
| Lower Confidence Limit. More...
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virtual QString | legendInfo () |
| Output string added to the plot as a new legend. More...
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bool | load (const QString &fileName) |
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int | numParameters () |
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QStringList | parameterNames () |
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Table * | parametersTable (const QString &tableName) |
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double * | residuals () |
| Returns a vector with the fit residuals. More...
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QString | resultFormula () |
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double * | results () |
| Returns a vector with the fit results. More...
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double | rmse () |
| Returns the Root Mean Squared Error. More...
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double | rSquare () |
| Returns R^2. More...
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double | rss () |
| Returns the Residual Sum of Squares. More...
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virtual bool | run () |
| Actually does the job. Should be reimplemented in derived classes. More...
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bool | save (const QString &fileName) |
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void | scaleErrors (bool yes=true) |
| Specifies wheather the errors must be scaled with sqrt(chi_2/dof) More...
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void | setAlgorithm (Algorithm s) |
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void | setDataCurve (QwtPlotCurve *curve, double start, double end) |
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bool | setDataFromTable (Table *t, const QString &xColName, const QString &yColName, int from=1, int to=-1, bool sort=false) |
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void | setFileName (const QString &fn) |
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virtual bool | setFormula (const QString &, bool=true) |
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void | setInitialGuess (int parIndex, double val) |
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void | setInitialGuesses (double *x_init) |
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void | setParameterExplanations (const QStringList &lst) |
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void | setParameterRange (int parIndex, double left, double right) |
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virtual bool | setParametersList (const QStringList &) |
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void | setType (FitType t) |
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bool | setWeightingData (WeightingMethod w, const QString &colName=QString::null) |
| Sets the data set to be used for weighting. More...
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void | showConfidenceLimits (double confidenceLevel) |
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void | showPredictionLimits (double confidenceLevel) |
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QwtPlotCurve * | showResiduals () |
| Plot residuals and display data values in a column. More...
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FitType | type () |
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double | ucl (int parIndex, double confidenceLevel) |
| Upper Confidence Limit. More...
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void | writeParametersToTable (Table *t, bool append=false) |
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| ~Fit () |
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int | dataSize () |
| Returns the size of the input data set. More...
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virtual void | enableGraphicsDisplay (bool on=true, Graph *g=0) |
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bool | error () |
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| Filter (ApplicationWindow *parent, Table *t=0, const QString &name=QString()) |
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| Filter (ApplicationWindow *parent, Graph *g=0, const QString &name=QString()) |
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| Filter (ApplicationWindow *parent, Matrix *m, const QString &name=QString()) |
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| Filter (ApplicationWindow *parent, QwtPlotCurve *c) |
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Graph * | outputGraph () |
| Returns a pointer to the graph where the result curve should be displayed. More...
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Table * | resultTable () |
| Returns a pointer to the table created to display the results. More...
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void | setColor (int colorId) |
| Obsolete: sets the color of the output fit curve. More...
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void | setColor (const QColor &color) |
| Sets the color of the output fit curve. More...
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void | setColor (const QString &colorName) |
| Sets the color of the output fit curve. Provided for convenience. To be used in scripts only! More...
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bool | setDataFromCurve (QwtPlotCurve *c) |
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bool | setDataFromCurve (QwtPlotCurve *c, double from, double to) |
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bool | setDataFromCurve (const QString &curveTitle, Graph *g=0) |
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bool | setDataFromCurve (const QString &curveTitle, double from, double to, Graph *g=0) |
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void | setError (bool on=true) |
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void | setInterval (double from, double to) |
| Changes the data range if the source curve was already assigned. Provided for convenience. More...
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void | setMaximumIterations (int iter) |
| Sets the maximum number of iterations to be performed during an iterative session. More...
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void | setOutputPoints (int points) |
| Sets the number of points in the output curve. More...
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void | setOutputPrecision (int digits) |
| Sets the precision used for the output. More...
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void | setSortData (bool on=true) |
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void | setTolerance (double eps) |
| Sets the tolerance used by the GSL routines. More...
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void | setUpdateOutputGraph (bool update=true) |
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virtual void | showLegend () |
| Adds a new legend to the plot. Calls virtual legendInfo() More...
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double * | x () |
| Returns the x values of the input data set. More...
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double * | y () |
| Returns the y values of the input data set. More...
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| ~Filter () |
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enum | Algorithm { ScaledLevenbergMarquardt,
UnscaledLevenbergMarquardt,
NelderMeadSimplex
} |
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typedef int(* | fit_function )(const gsl_vector *, void *, gsl_vector *) |
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typedef int(* | fit_function_df )(const gsl_vector *, void *, gsl_matrix *) |
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typedef int(* | fit_function_fdf )(const gsl_vector *, void *, gsl_vector *, gsl_matrix *) |
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typedef double(* | fit_function_simplex )(const gsl_vector *, void *) |
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enum | FitType { BuiltIn = 0,
Plugin = 1,
User = 2
} |
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enum | WeightingMethod {
NoWeighting,
Instrumental,
Statistical,
Dataset,
Direct
} |
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virtual void | freeMemory () |
| Frees all the arrays with size d_n. Used when changing the source data sets. More...
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void | freeWorkspace () |
| Frees the memory allocated for the fit workspace. More...
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virtual void | generateFitCurve () |
| Adds the result curve to the plot. More...
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void | initWorkspace (int par) |
| Allocates the memory for the fit workspace. More...
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virtual FunctionCurve * | insertFitFunctionCurve (const QString &name, int penWidth=1, bool updateData=true) |
| Adds the result curve as a FunctionCurve to the plot, if d_gen_function = true. More...
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virtual QString | logFitInfo (int iterations, int status) |
| Output string added to the result log. More...
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double | chi_2 |
| The sum of squares of the residuals from the best-fit line. More...
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gsl_matrix * | covar |
| Covariance matrix. More...
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double | d_adjusted_r_square |
| Adjusted R^2. More...
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Matrix * | d_cov_matrix |
| Matrix window used for the output of covariance matrix. More...
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fit_function_df | d_df |
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double * | d_errors |
| Stores standard deviations of the result parameters. More...
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fit_function | d_f |
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fit_function_fdf | d_fdf |
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QString | d_file_name |
| Path of the XML file where the user stores the fit model. More...
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FitType | d_fit_type |
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QString | d_formula |
| The fit formula given on input. More...
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fit_function_simplex | d_fsimplex |
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bool | d_gen_function |
| Specifies weather the result curve is a FunctionCurve or a normal curve with the same x values as the fit data. More...
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int | d_p |
| Number of fit parameters. More...
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QStringList | d_param_explain |
| Stores a list of short explanations for the significance of the fit parameters. More...
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gsl_vector * | d_param_init |
| Initial guesses for the fit parameters. More...
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QStringList | d_param_names |
| Names of the fit parameters. More...
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double * | d_param_range_left |
| Stores the left limits of the research interval for the result parameters. More...
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double * | d_param_range_right |
| Stores the right limits of the research interval for the result parameters. More...
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QPointer< Table > | d_param_table |
| Table window used for the output of fit parameters. More...
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double * | d_residuals |
| Stores fit residuals. More...
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QString | d_result_formula |
| The result fit formula, where the fit parameters are replaced with the calculated values. More...
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double * | d_results |
| Stores the result parameters. More...
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double | d_rss |
| Residual sum of squares. More...
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bool | d_scale_errors |
| Specifies wheather the errors must be scaled with sqrt(chi_2/dof) More...
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Algorithm | d_solver |
| Algorithm type. More...
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double * | d_w |
| weighting data set used for the fit More...
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WeightingMethod | d_weighting |
| The kind of weighting to be performed on the data. More...
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bool | is_non_linear |
| Tells whether the fitter uses non-linear/simplex fitting with an initial parameters set, that must be freed in the destructor. More...
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QString | weighting_dataset |
| The name of the weighting dataset. More...
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