FSpwr_config.m

clc
cfg = [];
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% 0. General

cfg.outputPath = '/path/to/outputDir';


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% I. Which measure would you like to analyze
% set cfg.measure to
% 1: cortical thickness
% 2: cortical surface area
% 3: cortical volume
% 4: subcortical volume

cfg.measure = 1;


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% II. Choose test
% set cfg.test to
% 'paired': paired sample t-test
% 'two-sample': independent (two-sample) sample t-test

cfg.test= 'two-sample';
%cfg.test= 'paired';

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% III. What do you want to do
% set cfg.analysisType to
% 1: A-priori: calculate sample size that is required to detect an effect
%     given are:
%         * difference between groups
%         * alpha level
%         * required power
%
% 2: Post-hoc: calculate achieved power
%     given are:
%         * difference between groups
%         * alpha level
%         * sample size
%
% 3: Sensitivity: calculate required effect size
%     given are:
%         * alpha level
%         * power
%         * sample size

cfg.analysisType = 1;


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% IV. What are your parameters
% state your parameters (depending on what you chose at III.)
% set
% cfg.alpha (e.g., 0.05)
% cfg.tail (1: one-tailed, 2: two-tailed)
% cfg.power (is 1-beta, e.g., 0.8)
% cfg.N (sample size per group)
% cfg.difference (differences between groups, e.g., in mm, or in Percent difference - see cfg.diffInPercent)
% cfg.diffInPercent (   0: enter absolute difference, e.g., in mm
%                       1: enter vertex-wise difference in Percent;
%                            e.g.:cfg.diffInPercent=1; cfg.difference=10;
%                            calculates power for a vertex-specific
%                            difference of 10%

cfg.alpha = .05;
cfg.tail = 2;
cfg.power = .8;
cfg.difference = 0.25;
cfg.diffInPercent = 0; 
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% V. Run analysis with FSpwr(cfg);

FSpwr(cfg);