error exporting smallworldness
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Hi! Thank you so much for your wonderful program!!
Hi! Thank you so much for your wonderful program!!
I am a student using GAT for my project . I deal with only the diffusion part of the toolbox . In the network measure of diffusion tool , inputs of lowest and highest density of interests and the step size are to be entered .
Hello again,
I have looked in the manual and tutorial but I can't find this information, I'm sorry if I've missed it.
Could you please explain the contents of the output files that I get when I choose calculate variables and export?
Also, what are the contents of the files when I choose export from the results viewer?
If I wanted to do post-hoc analyses (for example, a correlation between degree and a clinical variable), which data from graphVar do I use for this.
Apologies for my ignorance, I am new to graph theory!
Thanks in advance,
Dear Johann,
I have multiple clinical variables that I am interested in correlating with graph theory measures. However, for a few of my subjects I am missing data for one of those clinical variables. Can GraphVar handle missing data or should I exclude those subjects from all analyses?
Thank you!
Chelsea Cummiford
Hello,
I am new to graph theory and I'm trying out GraphVar (thank you for this toolbox, by the way!). I created ROI timeseries data using DPARSFA and I am now trying to create connectivity matrices for each subject within GraphVar. I'm running into an error message and I wonder if it's a problem with our stats toolbox or with the ROI signal files or something I haven't considered? We have checked and rechecked the matlab stats package license and everything seems ok.
So here is what I do:
1. Load Brainregions.csv and Variables.csv files.
Hi,
I got some results from analysis of raw matrix.
However there was an error in displaying results.
As you see an below figure, there was no number but only an empty space in 'Variable' section.
It could be a tiny error which could not affect the whole results but I want to fix it.
Best wishes,
UkSu
Dear all,
UPDATES GraphVar beta 0.62
DONWLOAD HERE
1. Added two NEW "dynamic" graph measures!
- nodal flexibility and nodal promiscuity coefficient which are based on changing community assignments in an ordered multislice matrix (as in Braun et al., 2015: Dynamic reconfiguration of frontal brain networks during executive cognition in humans)
2. Added new "regular" graph metrics:
Dear Johann,