Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_statfun_roc”.
FT_STATFUN_ROC computes the area under the curve (AUC) of the Receiver Operator Characteristic (ROC). This is a measure of the separability of the data divided over two conditions. The AUC can be used to test statistical significance of being able to predict on a single observation basis to which condition the observation belongs. Use this function by calling one of the high-level statistics functions as [stat] = ft_timelockstatistics(cfg, timelock1, timelock2, ...) [stat] = ft_freqstatistics(cfg, freq1, freq2, ...) [stat] = ft_sourcestatistics(cfg, source1, source2, ...) with the following configuration option cfg.statistic = 'ft_statfun_roc' Configuration options that are relevant for this function are cfg.ivar = number, index into the design matrix with the independent variable cfg.logtransform = 'yes' or 'no' (default = 'no') Note that this statfun performs a one sided test in which condition "1" is assumed to be larger than condition "2".