FitResSummary Examples
FitResSummary collects multiple FitResult objects returned by Analysis.RunAnalysisForAllNeurons. It provides aggregate plotting and model-comparison utilities.
See Analysis Examples 2 for a complete workflow that builds and visualises a FitResSummary.
Contents
Key Properties
- numResults -- number of contained FitResult objects
- lambda -- combined conditional-intensity signal across fits
- b -- cell array of coefficient vectors (one per fit)
Aggregate Methods
fitResults.plotResults; % side-by-side fit comparison fitResults.plotResults_KS; % KS plots for all fits fitResults.evalLambda(idx, newData); % evaluate model idx on new data fitResults.plotCoeffBoxPlots; % boxplots across configurations
Example
% After running an analysis: fitResults = Analysis.RunAnalysisForAllNeurons(trial, configColl, 0); fitResults.plotResults; % visualise all configurations disp(fitResults.numResults); % number of fits