runAnova_bcl.m [click me to request]: Although Matlab officially provides a built-in function to conduct the ANOVA, the results are far from that outputted by SPSS. Here we provide a customized m function that aims to replace the official functions in that it returns the same results as SPSS does. The current version supports both between-subject, within-subject, and mixed designs with unlimited conditional levels.

Usage:

 Example:

 

 Suppose 1) we have a 2*2*2 mixed experiment design and have 20 participants.

                  2) while the two within factors are ‘a’ and ‘b’, the between-subject factor is ‘c’. 

 

 Then: 

 directory            = 'D:\test';

 data                    = rand(20,4);                             %  suppose we have 20 subjects, each finished 4 conditions.

 expDesign.wsDesign      = {'a', 'b'; 2, 2};              %  suppose we have 2 factors, each of which has 2 conditions.

 expDesign.bsDesign      = [1 1 1 ...,2 2 2 ...]';     %  A between subject factor that has 2 levels.

 expDesign.bsVarNames = {'c'};                           %  A between subject factor "c" that has 2 levels.

 [result] = ranova_bcl(data,expDesign);

lptOut.m [click me to request] : Used to send TTL trigger via a parallel port under linux.

 USAGE:

  lptout(port,value)；

 Argins:

 portAdd        [double]: Port address (e.g., 888 = 0x378 )

 value             [double]: value to write (0-255)

 Examples:

 lptout(888,42);  

 Author: Yang Zhang, Soochow University, Suzhou,China 2015

 Fri Jan 23 21:01:09 2015