Change Details

Following improvements can be done: A. Find fit parameter in user supplied fit function automatically - DONE Currently the fit parameter has to be given by the user which is more work than necessary. We should check if we can get this information from the parser. B. Improve output of results. - DONE * use tables to improve visibility - DONE * calculate t, p- value and conf. interval of parameter - DONE * calculate p value for chi-square test - DONE * calculate p value for F test - DONE see * https://reference.wolfram.com/language/howto/FitModelsWithMeasurementErrors.html * https://de.wikipedia.org/wiki/Einstichproben-t-Test * http://reliawiki.org/index.php/Multiple_Linear_Regression_Analysis#Estimating_Regression_Models_Using_Least_Squares * https://onlinecourses.science.psu.edu/stat501/node/297 * http://reliawiki.org/index.php/Simple_Linear_Regression_Analysis * https://onlinecourses.science.psu.edu/stat501/node/295 C. support different weighting types - DONE see * http://www.originlab.de/doc/Origin-Help/FIt-with-Err-Weight * http://reference.wolfram.com/language/ref/Weights.html * http://www.graphpad.com/guides/prism/6/curve-fitting/index.htm?reg_weighted_nonlinear_regression.htm D. support x-errors for fitting - DONE see * http://wwwhep.physik.uni-freiburg.de/fp/origin/Kap4.pdf * http://stackoverflow.com/questions/22670057/linear-fitting-in-python-with-uncertainty-in-both-x-and-y-coordinates * http://stackoverflow.com/questions/12918968/gnuplot-fitting-with-error-variable-in-x-and-y * https://www.mpp.mpg.de/~caldwell/ss05/Lecture11.pdf * http://originlab.com/doc/Origin-Help/LinearFit-XErr-Dialog * http://www.originlab.com/doc/Origin-Help/Ref-Linear-XErr * https://stats.stackexchange.com/questions/222335/line-of-best-fit-for-data-with-error-in-x-and-y * http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422013000600025 E. Implement missing fit models for statistical distributions - DONE F. support asymmetric errors when fitting- G. Add button to create a label with fit results. H. Guess initial parameters (see Origin parameter initializing) I. Shared parameter of multiple data sets (ensemble averaging (?), see Origin)

Following improvements can be done: A. Find fit parameter in user supplied fit function automatically - DONE Currently the fit parameter has to be given by the user which is more work than necessary. We should check if we can get this information from the parser. B. Improve output of results. - DONE * use tables to improve visibility - DONE * calculate t, p- value and conf. interval of parameter - DONE * calculate p value for chi-square test - DONE * calculate p value for F test - DONE see * https://reference.wolfram.com/language/howto/FitModelsWithMeasurementErrors.html * https://de.wikipedia.org/wiki/Einstichproben-t-Test * http://reliawiki.org/index.php/Multiple_Linear_Regression_Analysis#Estimating_Regression_Models_Using_Least_Squares * https://onlinecourses.science.psu.edu/stat501/node/297 * http://reliawiki.org/index.php/Simple_Linear_Regression_Analysis * https://onlinecourses.science.psu.edu/stat501/node/295 C. support different weighting types - DONE see * http://www.originlab.de/doc/Origin-Help/FIt-with-Err-Weight * http://reference.wolfram.com/language/ref/Weights.html * http://www.graphpad.com/guides/prism/6/curve-fitting/index.htm?reg_weighted_nonlinear_regression.htm D. support x-errors for fitting - DONE see * http://wwwhep.physik.uni-freiburg.de/fp/origin/Kap4.pdf * http://stackoverflow.com/questions/22670057/linear-fitting-in-python-with-uncertainty-in-both-x-and-y-coordinates * http://stackoverflow.com/questions/12918968/gnuplot-fitting-with-error-variable-in-x-and-y * https://www.mpp.mpg.de/~caldwell/ss05/Lecture11.pdf * http://originlab.com/doc/Origin-Help/LinearFit-XErr-Dialog * http://www.originlab.com/doc/Origin-Help/Ref-Linear-XErr * https://stats.stackexchange.com/questions/222335/line-of-best-fit-for-data-with-error-in-x-and-y * http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422013000600025 E. Implement missing fit models for statistical distributions - DONE F. support asymmetric errors when fitting. G. Add button to create a label with fit results. H. Option to ignore errors when fitting. I. Guess initial parameters (see Origin parameter initializing) J. Shared parameter of multiple data sets (ensemble averaging (?), see Origin)

Following improvements can be done: A. Find fit parameter in user supplied fit function automatically - DONE Currently the fit parameter has to be given by the user which is more work than necessary. We should check if we can get this information from the parser. B. Improve output of results. - DONE * use tables to improve visibility - DONE * calculate t, p- value and conf. interval of parameter - DONE * calculate p value for chi-square test - DONE * calculate p value for F test - DONE see * https://reference.wolfram.com/language/howto/FitModelsWithMeasurementErrors.html * https://de.wikipedia.org/wiki/Einstichproben-t-Test * http://reliawiki.org/index.php/Multiple_Linear_Regression_Analysis#Estimating_Regression_Models_Using_Least_Squares * https://onlinecourses.science.psu.edu/stat501/node/297 * http://reliawiki.org/index.php/Simple_Linear_Regression_Analysis * https://onlinecourses.science.psu.edu/stat501/node/295 C. support different weighting types - DONE see * http://www.originlab.de/doc/Origin-Help/FIt-with-Err-Weight * http://reference.wolfram.com/language/ref/Weights.html * http://www.graphpad.com/guides/prism/6/curve-fitting/index.htm?reg_weighted_nonlinear_regression.htm D. support x-errors for fitting - DONE see * http://wwwhep.physik.uni-freiburg.de/fp/origin/Kap4.pdf * http://stackoverflow.com/questions/22670057/linear-fitting-in-python-with-uncertainty-in-both-x-and-y-coordinates * http://stackoverflow.com/questions/12918968/gnuplot-fitting-with-error-variable-in-x-and-y * https://www.mpp.mpg.de/~caldwell/ss05/Lecture11.pdf * http://originlab.com/doc/Origin-Help/LinearFit-XErr-Dialog * http://www.originlab.com/doc/Origin-Help/Ref-Linear-XErr * https://stats.stackexchange.com/questions/222335/line-of-best-fit-for-data-with-error-in-x-and-y * http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422013000600025 E. Implement missing fit models for statistical distributions - DONE F. support asymmetric errors when fitting-. G. Add button to create a label with fit results. H. Option to ignore errors when fitting. I. Guess initial parameters (see Origin parameter initializing) IJ. Shared parameter of multiple data sets (ensemble averaging (?), see Origin)