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Index for .

Matlab files in this directory:

 prontoFunction launching PRoNTo (Pattern Recognition for Neuroimaging Toolbox),
 prtPattern Recognition for Neuroimaging Toolbox, PRoNTo.
 prt_apply_operationfunction to apply a data operation to the training, test and
 prt_batchPattern Recognition for Neuroimaging Toolbox, PRoNTo.
 prt_build_region_weights
 prt_checkFunction to automatically test PRoNTo's integrity
 prt_check_designFORMAT [conds] = prt_check_design(cond,tr,units,hrfoverlap)
 prt_check_flagFORMAT flags = prt_check_flag(flags_o,flags)
 prt_comp_ranking_distFunction to compute the distance between two ranking vectors, as detailed
 prt_compute_cv_matFunction to compute the cross-validation matrix. Also does error checking
 prt_compute_weightsFORMAT prt_compute_weights(PRT,in)
 prt_compute_weights_classFORMAT prt_compute_weights_class(PRT,in,model_idx)
 prt_compute_weights_regreFORMAT prt_compute_weights_regre(PRT,in,model_idx)
 prt_contentsPattern Recognition for Neuroimaging Toolbox, aka. PRoNTo
 prt_cv_foldFunction to run a single cross-validation fold
 prt_cv_modelFunction to run a cross-validation structure on a given model
 prt_cv_opt_paramFunction to pass optional (advanced) parameters into the classifier.
 prt_data_conditionsPRT_DATA_CONDITIONS M-file for prt_data_conditions.fig
 prt_data_modalityPRT_DATA_MODALITY M-file for prt_data_modality.fig
 prt_data_reviewPRT_DATA_REVIEW M-file for prt_data_review.fig
 prt_defaultsSets the defaults which are used by the Pattern Recognition for
 prt_fsFunction to build file arrays containing the (linearly detrended) data
 prt_fs_modalityFunction to build file arrays containing the (linearly detrended) data
 prt_func2htmlScript to generate the list of .m functions into html files
 prt_getKernelModelFunction to load the kernels according to the samples considered in a
 prt_get_defaultsGet/set the defaults values associated with an identifier
 prt_get_filenameout = prt_get_filename(ids)
 prt_init_fsfunction to initialise the kernel data structure
 prt_init_modelfunction to initialise the model data structure
 prt_latex
 prt_loadFunction to load the PRT.mat and check its integrity regarding the
 prt_load_blocksLoad one or more blocks of data.
 prt_modelFunction to configure and build the PRT.model data structure
 prt_nested_cvFunction to perform the nested CV
 prt_permutationFunction to compute permutation test
 prt_plot_ROCFORMAT prt_plot_ROC(PRT, model, fold, axes_handle)
 prt_plot_confusion_matrixFORMAT prt_plot_confusion_matrix(PRT, model, fold, axes_handle)
 prt_plot_histogramsFORMAT prt_plot_histograms(PRT, model, fold, axes_handle)
 prt_plot_nested_cvFORMAT prt_plot_nested_cv(PRT, model, fold, axes_handle)
 prt_plot_predictionFORMAT prt_plot_prediction(PRT, model, fold, marker_size, axes_handle)
 prt_plot_prediction_reg_barFORMAT prt_plot_prediction_reg_bar(PRT, model, axes_handle)
 prt_plot_prediction_reg_lineFORMAT prt_plot_prediction_reg_line(PRT, model, axes_handle)
 prt_plot_prediction_reg_scatterFORMAT prt_plot_prediction_reg_scatter(PRT, model, axes_handle)
 prt_region_histogram% L1-HISTOGRAM
 prt_remove_confounds[Kr, R] = prt_remove_confounds(K,C)
 prt_statsFunction to compute predictions machine performance statistcs statistics
 prt_struct% Function to load the PRT.mat and check its integrity regarding the
 prt_struct2latexFunction that takes in a structure S and writes down the latex code
 prt_text_inputPRT_TEXT_INPUT M-file for prt_text_input.fig
 prt_ui_compute_weightsPRT_UI_COMPUTE_WEIGHTS M-file for prt_ui_compute_weights.fig
 prt_ui_custom_CVPRT_UI_CUSTOM_CV M-file for prt_ui_custom_CV.fig
 prt_ui_cv_modelPRT_UI_CV_MODEL M-file for prt_ui_cv_model.fig
 prt_ui_designPRT_UI_DESIGN M-file for prt_ui_design.fig
 prt_ui_disp_weightsPRT_UI_DISP_WEIGHTS MATLAB code for prt_ui_disp_weights.fig
 prt_ui_kernel_constructionPRT_UI_KERNEL MATLAB code for prt_ui_kernel.fig
 prt_ui_mainPRT_UI_MAIN M-file for prt_ui_main.fig
 prt_ui_modelPRT_UI_KERNEL_CONSTRUCTION M-file for prt_ui_kernel_construction.fig
 prt_ui_prepare_dataPRT_UI_KERNEL MATLAB code for prt_ui_kernel.fig
 prt_ui_prepare_datamodPRT_UI_KERNEL_MODALITY M-file for prt_ui_kernel_modality.fig
 prt_ui_resultsPRT_UI_RESULTS MATLAB code for prt_ui_results.fig
 prt_ui_results_ROIPRT_UI_RESULTS_ROI M-file for prt_ui_results_ROI.fig
 prt_ui_results_helpPRT_UI_RESULTS_HELP MATLAB code for prt_ui_results_help.fig
 prt_ui_results_statsPRT_UI_RESULTS_STATS MATLAB code for prt_ui_results_stats.fig
 prt_ui_reviewCVPRT_UI_REVIEWCV M-file for prt_ui_reviewCV.fig
 prt_ui_reviewmodelPRT_UI_REVIEWMODEL M-file for prt_ui_reviewmodel.fig
 prt_ui_select_classPRT_UI_SELECT_CLASS M-file for prt_ui_select_class.fig
 prt_ui_select_regPRT_UI_SELECT_REG M-file for prt_ui_select_reg.fig
 prt_ui_specify_CV_basisPRT_UI_SPECIFY_CV_BASIS M-file for prt_ui_specify_CV_basis.fig
 prt_ui_statsPRT_UI_STATS MATLAB code for prt_ui_stats.fig
 prt_ui_surePRT_UI_SURE M-file for prt_ui_sure.fig

Subsequent directories:


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