 |
 |
Hi, Maybe that example was too tiny to be useful. The file contains a matrix. Each row of this matrix is a t-contrast. The /NumWaves is the number of columns in this matrix (which corresponds to the number of EVs in the design matrix), and /NumPoints is the number of rows (which corresponds to the number of t-contrasts). If you want a single contrast as [1 -1], that is, comparing the regression coefficients for EV1 with EV2, the contrast file would be: /NumWaves 2 /NumPoints 1 /Matrix 1 -1 All the best, Anderson On 16 October 2015 at 17:28, LEVI SOLOMYAK <[log in to unmask]> wrote: > Hi Anderson, > > Thank you so much for your suggestion. When I try and create the contrast > file from that matrix (1, -1), it interprets it as NumWaves 2 and NumPoints > 1. Is there some simple way so that it defines the contrast the other way? > > Thank you so much, > CN > > On Fri, Sep 25, 2015 at 2:15 AM, Anderson M. Winkler < > [log in to unmask]> wrote: > >> Hi Corey, >> >> Can't say without seeing what you are doing, but in any case, with a >> single EV, you can create the design.mat by hand. It's a text file that >> looks like this: >> >> /NumWaves 1 >> /NumPoints 100 >> >> /Matrix >> xx >> xx >> xx >> xx >> xx >> ... >> >> Where the "xx" are the numerical values you have for the EV. The >> design.con follows a similar structure: >> >> /NumWaves 1 >> /NumPoints 2 >> >> /Matrix >> 1 >> -1 >> >> When running randomise, include the option -D. >> >> All the best, >> >> Anderson >> >> >> >> On 24 September 2015 at 16:38, Corey N <[log in to unmask]> >> wrote: >> >>> Dear FSl Experts, >>> >>> I am hoping to run a one sample t-test using GLM to find correlations >>> between FA values and a behavioral measure. Since all of my subjects are in >>> a single group, my design matrix is simply the behavioral value. Is that >>> correct? >>> >>> Because I am working with 100 subjects, I used Text2Vest to convert my >>> contrast matrix. I tried to do the same for the design matrix (1) since >>> theres only 1 ev but get a expr: division by zero. >>> >>> Am I setting up my GLM correctly? And if so, what is my mistake with >>> Text2Vest? >>> >>> Thank you so much >>> CN >>> >> >> >