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reference:ft_statfun_depsamplesfmultivariate [2018/08/23 14:43] (current)
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 +Note that this reference documentation is identical to the help that is displayed in MATLAB when you type "help ft_statfun_depsamplesFmultivariate"​.
 +  <a href=/​reference/​ft_statfun_depsamplesFmultivariate><​font color=green>​FT_STATFUN_DEPSAMPLESFMULTIVARIATE</​font></​a>​ calculates the MANOVA dependent samples
 +  F-statistic on the biological data in dat (the dependent variable), using the
 +  information on the independent variable (ivar) in design.
 +  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_depsamplesFmultivariate'​
 +  Configuration options
 +    cfg.contrastcoefs ​ = matrix of contrast coefficients determining the
 +                         ​effect being tested. The number of columns of this
 +                         ​matrix has to be equal to the number of conditions. ​
 +                         The default is a matrix that specifies the
 +                         main effect of the independent variable. This matrix
 +                         has size [(ncond-1),​ncond]. ​
 +    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 labels range from 1 to the number of conditions.
 +    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.
 +  See also <a href=/​reference/​ft_timelockstatistics><​font color=green>​FT_TIMELOCKSTATISTICS</​font></​a>,​ <a href=/​reference/​ft_freqstatistics><​font color=green>​FT_FREQSTATISTICS</​font></​a>​ or <a href=/​reference/​ft_sourcestatistics><​font color=green>​FT_SOURCESTATISTICS</​font></​a>​