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Clustering
anova_cluster_lena
anova_cluster_lena is used to compute significance probabilities using non parametric statistical tests. More precisely, cluster based permutations (see Fieldtrip for more details) are used to correct for multiple comparisons after computing F statistic using mega_anova.
The output files (F and p or -logp values for every main effect and interaction) are in lena format.
How to install it ?
The package is located in: /usr/global/matlab/mega_toolbox
- Launch Matlab from your home directory (ex: _/lena13/home_users/users/dupont_)
- Under the File menu, go to 'Set Path '
- In the dialog window, click on 'Add with Subfolders'
- Browse the directories in order to go to /usr/global/matlab
- Highlight the mega_toolbox directory in the folder list (DON'T OPEN IT)
- Click OK
How to use it ?
Before using anova_cluster_lena you need to define what is your experimental design (within/between subject, how many factors, how many levels per factor..).
In this tutorial, we consider a within-subject experiment. The steps to perform are as follows:
- Define your design structure
- Write a script in matlab to provide information about your data as well as your experimental design: Start by calling the main function:
<file>
anova_cluster_lena(arguments)
</file>
The function anova_cluster_lena() uses a list of of “named arguments” which can be given in any order.