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dbs_cal_df.m
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dbs_cal_df.m
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function dof = dbs_cal_df (hypotest , numSamples)
% DBS_CAL_DF Provide the degree of freedom (dof) for the hypothesis testing and the number of samples
% ================================================================================================================
% [ INPUTS ]
% hypotest = type of test (default = 0).
% 0: two-sample paired t-test (ttest)
% 1: two-sample unpaired t-test (ttest2) (assumping the same variance for the two groups)
% 2: correlation analysis (corr)
%
% numSaples = the number of samples (or subjects) give to the hypothesis testing
% ----------------------------------------------------------------------------------------------------------------
% [ OUTPUTS ]
% dof = the degree of freedom (DOF) for the hypothesis testing and the number of samples
% ----------------------------------------------------------------------------------------------------------------
% Last update: Aug 30, 2016.
%
% Copyright 2016. Kwangsun Yoo (K Yoo), PhD
% E-mail: [email protected] / [email protected]
% Laboratory for Cognitive Neuroscience and NeuroImaging (CNI)
% Department of Bio and Brain Engineering
% Korea Advanced Instititue of Science and Technology (KAIST)
% Daejeon, Republic of Korea
% ================================================================================================================
if hypotest == 0
dof = numSamples/2 - 1 ;
elseif hypotest == 1
dof = numSamples - 2 ; % for equal variance
elseif hypotest == 2
dof = numSamples - 2 ;
end