Note that this reference documentation is identical to the help that is displayed in MATLAB when you type “help ft_statfun_actvsblT”.
FT_STATFUN_ACTVSBLT calculates the activation-versus-baseline T-statistic on the biological data in dat (the dependent variable), using the information on the independent variable (ivar) in design. Note: It does not make sense to use this test statistic when baseline-correction was performed by subtracting the time average of the baseline period. Instead of this type of baseline-correction, one may subtract the time average of the combined baseline and activation period. 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_actvsblT' see FT_TIMELOCKSTATISTICS, FT_FREQSTATISTICS or FT_SOURCESTATISTICS for details. For low-level use, the external interface of this function has to be [s,cfg] = ft_statfun_actvsblT(cfg, dat, design); where dat contains the biological data, Nsamples x Nreplications design contains the independent variable (ivar) and the unit-of-observation (uvar) factor, Nreplications x Nvar Configuration options cfg.computestat = 'yes' or 'no', calculate the statistic (default='yes') cfg.computecritval = 'yes' or 'no', calculate the critical values of the test statistics (default='no') cfg.computeprob = 'yes' or 'no', calculate the p-values (default='no') The following options are relevant if cfg.computecritval='yes' and/or cfg.computeprob='yes'. cfg.alpha = critical alpha-level of the statistical test (default=0.05) cfg.tail = -1, 0, or 1, left, two-sided, or right (default=1) cfg.tail in combination with cfg.computecritval='yes' determines whether the critical value is computed at quantile cfg.alpha (with cfg.tail=-1), at quantiles cfg.alpha/2 and (1-cfg.alpha/2) (with cfg.tail=0), or at quantile (1-cfg.alpha) (with cfg.tail=1). Design specification cfg.ivar = row number of the design that contains the labels of the conditions that must be compared (default=1). The first condition, indicated by 1, corresponds to the activation period and the second, indicated by 2, corresponds to the baseline period. cfg.uvar = row number of design that contains the labels of the units-of-observation (subjects or trials) (default=2). The labels are assumed to be integers ranging from 1 to the number of units-of-observation.