Simple Tests

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One-Sample T-Test

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Note:  This can also be done using the wrapper aps_onesampt.m


IN.N_subs = N;        % Number of input images

IN.Between = 1;       % Two factors

IN.EqualVar = 1;       % Do variance corrections

IN.Independent = 1; % Do independence correction

F = CreateDesign(IN);


I.OutputDir = pwd;

I.F = F;

I.minN = 5;

I.DoOnlyAll = 1;

I.RemoveOutliers=0;

I.Scans = {...};


I.Cons(1).name = ‘Effect’

I.Cons(1).Groups = 1;

I.Cons(1).Levs = 1;

I.Cons(1).ET = 1;


I = GLM_Flex(I);



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Two-Sample T-Test

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Note:  This can also be done using the wrapper aps_twosampt.m


IN.N_subs = [N1 N2];   % Number per each of the 2 groups

IN.Between = 2;           % Two factors

IN.EqualVar = 1;           % Do variance corrections

IN.Independent = 1;     % Do independence correction

F = CreateDesign(IN);


I.OutputDir = pwd;

I.F = F;

I.minN = 5;

I.DoOnlyAll = 1;

I.RemoveOutliers=0;

I.Scans = {...};


I.Cons(1).name = ‘Group Diff’

I.Cons(1).Groups = {1 2};

I.Cons(1).Levs = 2;

I.Cons(1).ET = 1;


I = GLM_Flex(I);



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Paired-Sample T-Test

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Note:  This can also be done using the wrapper aps_pairedt.m


IN.N_subs = [N];          % Number of Subjects

IN.Within = 2;               % Two factors

IN.EqualVar = 1;           % Do variance corrections

IN.Independent = 1;     % Do independence correction

F = CreateDesign(IN);


I.OutputDir = pwd;

I.F = F;

I.minN = 5;

I.DoOnlyAll = 1;

I.RemoveOutliers=0;

I.Scans = {...};


I.Cons(1).name = ‘Group Diff’

I.Cons(1).Groups = {1 2};

I.Cons(1).Levs = 2;

I.Cons(1).ET = 2;


I = GLM_Flex(I);


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Generic One-Way Between Subjects ANOVA

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Note:  This can also be done using the wrapper aps_onewayanova_between.m


IN.N_subs = [N];          % Number of Subjects

IN.Between = 3;               % Two factors

IN.EqualVar = 0;           % Do variance corrections

IN.Independent = 1;     % Do independence correction

F = CreateDesign(IN);


I.OutputDir = pwd;

I.F = F;

I.minN = 5;

I.DoOnlyAll = 1;

I.RemoveOutliers=0;

I.Scans = {...};


I.Cons(1).name = ‘Group Diff’

I.Cons(1).Groups = {1 2 3};

I.Cons(1).Levs = 3;

I.Cons(1).ET = 1;


%% You can also test for differences between subsets of the groups

I.Cons(2).name = ‘Group Diff’

I.Cons(2).Groups = {1 2};

I.Cons(2).Levs = 2;

I.Cons(2).ET = 1;


%% You can even generate analogues to the one sample t-tests for each group.

I.Cons(3).name = ‘Group Diff’

I.Cons(3).Groups = {1};

I.Cons(3).Levs = 1;

I.Cons(3).ET = 1;


I = GLM_Flex(I);




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Generic One-Way Repeated Measures ANOVA

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Note:  This can also be done using the wrapper aps_onewayanova_repeated.m


IN.N_subs = [N];          % Number of Subjects

IN.Within = 3;               % Two factors

IN.EqualVar = 0;           % Do variance corrections

IN.Independent = 0;     % Do independence correction

F = CreateDesign(IN);


I.OutputDir = pwd;

I.F = F;

I.minN = 5;

I.DoOnlyAll = 1;

I.RemoveOutliers=0;

I.Scans = {...};


I.Cons(1).name = ‘Group Diff’

I.Cons(1).Groups = {1 2 3};

I.Cons(1).Levs = 3;

I.Cons(1).ET = 2;


%% You can also test for differences between subsets of the groups

I.Cons(2).name = ‘Group Diff’

I.Cons(2).Groups = {1 2};

I.Cons(2).Levs = 2;

I.Cons(2).ET = 2;


%% You can even generate analogues to the one sample t-tests for each group.

I.Cons(3).name = ‘Group Diff’

I.Cons(3).Groups = {1};

I.Cons(3).Levs = 1;

I.Cons(3).ET = 1;  % Notice that since this effect is a between subjects effect that the ET is set to 1.


I = GLM_Flex(I);


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