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fd_ff

PURPOSE ^

Specification of full-factorial design

SYNOPSIS ^

function [jobs] = fd_ff

DESCRIPTION ^

 Specification of full-factorial design
 The tree below is incomplete (PJ)
 -jobs 
  \-jobs{1}
    \-stats 
      \-stats{1}
        \-factorial_design
          |-des
          | \-fd
              \-fact
          |   \-icell
          |-masking
          | |-tm
          | | \-tm_none ........... []
          | |-im ................ 1-x-1 double
          | \-em 
          |   \-em{1} ............. []
          |-globalc
          | \-g_omit ............ []
          |-globalm
          | |-gmsca
          | | \-gmsca_no .......... []
          | \-glonorm ........... 1-x-1 double
          \-dir ............... <UNDEFINED>
 -jobs 
    \-stats

CROSS-REFERENCE INFORMATION ^

This function calls: This function is called by:

SOURCE CODE ^

0001 function [jobs] = fd_ff
0002 % Specification of full-factorial design
0003 % The tree below is incomplete (PJ)
0004 % -jobs
0005 %  \-jobs{1}
0006 %    \-stats
0007 %      \-stats{1}
0008 %        \-factorial_design
0009 %          |-des
0010 %          | \-fd
0011 %              \-fact
0012 %          |   \-icell
0013 %          |-masking
0014 %          | |-tm
0015 %          | | \-tm_none ........... []
0016 %          | |-im ................ 1-x-1 double
0017 %          | \-em
0018 %          |   \-em{1} ............. []
0019 %          |-globalc
0020 %          | \-g_omit ............ []
0021 %          |-globalm
0022 %          | |-gmsca
0023 %          | | \-gmsca_no .......... []
0024 %          | \-glonorm ........... 1-x-1 double
0025 %          \-dir ............... <UNDEFINED>
0026 % -jobs
0027 %    \-stats
0028 
0029 % Factorial design
0030 jobs{1}.stats{1}.factorial_design.des.fd.fact = struct(...
0031     'name', '<UNDEFINED>', ...
0032     'levels', '<UNDEFINED>', ...
0033     'dept', 1, ...  % 1=repeated-measures/non-sphericity
0034     'variance', 1, ...
0035     'gmsca', 0, ...
0036     'ancova', 0);
0037 
0038 jobs{1}.stats{1}.factorial_design.des.fd.icell = struct(...
0039     'levels', '<UNDEFINED>', ...
0040     'scans', '<UNDEFINED>');
0041          
0042 % Covariates
0043 jobs{1}.stats{1}.factorial_design.cov = struct([]);
0044 
0045 % Masking
0046 jobs{1}.stats{1}.factorial_design.masking.tm.tm_none = ...
0047     reshape(double([]),[0,0]);
0048 jobs{1}.stats{1}.factorial_design.masking.im = reshape(double(1),[1,1]);
0049 jobs{1}.stats{1}.factorial_design.masking.em{1} = char('');
0050 
0051 jobs{1}.stats{1}.factorial_design.globalc.g_omit = reshape(double([]),[0,0]);
0052 jobs{1}.stats{1}.factorial_design.globalm.gmsca.gmsca_no = reshape(double([]),[0,0]);
0053 jobs{1}.stats{1}.factorial_design.globalm.glonorm = reshape(double(1),[1,1]);
0054 jobs{1}.stats{1}.factorial_design.dir = char('<UNDEFINED>');

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