your classes are right. What are you trying to test with your contrast matrix?
On 01/20/2016 05:33 AM, Erik Lindberg wrote:
Dear Freesurfers,
I am running a design in which I want to correct for a number of categorical variables: diagnosis, gender and apoe status and one continuous variable (age) in a correlation analysis
Did I get this right? (below)
Thanks, Eric
GroupDescriptorFile 1
Title MyTitle
Class AMCI_F_APOE-
Class AMCI_F_APOE+
Class AMCI_MALE_APOE-
Class AMCI_MALE_APOE+
Class CTL_FEMALE_APOE-
Class CTL_FEMALE_APOE+
Class CTL_MALE_APOE-
Class CTL_MALE_APOE+
Class NON_A_MCI_FEMALE_APOE-
Class NON_A_MCI_FEMALE_APOE+
Class NON_A_MCI_MALE_APOE-
Class NON_A_MCI_MALE_APOE+
Class SCI_FEMALE_APOE-
Class SCI_FEMALE_APOE+
Class SCI_MALE_APOE-
Class SCI_MALE_APOE+
Variables AGE_DEMEAN CSF_Ab40_ADx
With the contrast matrix: corr.mtx:
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
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