Home › Forums › General Help (Braph 2.0) › Export graph metric values
 This topic has 14 replies, 3 voices, and was last updated 1 year, 3 months ago by YuWei Chang.

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April 20, 2023 at 10:39 am #178303YuWei ChangModerator
Hi,
Thanks for the further information.
Yes, based on your feedback, it sounds reasonable since, if I understand you correctly, you calculated all the available measures for all 800 subjects.Should you have any questions, please feel free to write to us.
Best, YuWei
April 20, 2023 at 10:42 am #178306Sai PrasannaParticipantYes, that’s right.
Thank you.–
Sai PrasannaApril 20, 2023 at 7:11 pm #178361YuWei ChangModeratorHi,
Nice, thank you!
Best,
YuWeiApril 21, 2023 at 5:45 am #178542Sai PrasannaParticipantHi,
Do you guys have any reference manuals for the latest release of BRAPH2?
I was interested in knowing what the variables mean. For example, in the following lines,strength_WU_diff = c_WU.getComparison(‘Strength’).get(‘DIFF’);
strength_WU_p1 = c_WU.getComparison(‘Strength’).get(‘P1’);
strength_WU_p2 = c_WU.getComparison(‘Strength’).get(‘P2’);
strength_WU_cil = c_WU.getComparison(‘Strength’).get(‘CIL’);
strength_WU_ciu = c_WU.getComparison(‘Strength’).get(‘CIU’);What are P1, P2, Diff, …diff, ..p1, ..p2, ..cil, CIL, …ciu, CIU ?
And, in
c_WU = CompareEnsemble( …
‘P’, 10, …
‘A1’, a_WU1, …
‘A2’, a_WU2, …
‘WAITBAR’, true, …
‘VERBOSE’, true, …
‘MEMORIZE’, true …
);Does p indicate the number of permutations of a random graph used in comparison?
I’d appreciate it if you could please help me with this.
Thanks.
SaiApril 21, 2023 at 1:53 pm #178656YuWei ChangModeratorHi Sai,
The reference manual for braph2 is already included automatically in the software. If you want to know the properties (e.g., P for CompareEnsemble or P1, P2, DIFF for ComparisonEnsemble), you can simply type the following commands in the MATLAB command window:
help CompareEnsemble
and
help ComparisonEnsemble
These commands will show you the description of all the properties related to CompareEnsemble and ComparisonEnsemble as attached:
In the description, you will find the answers you wanted:
– P (parameter, scalar) is the permutation number.
– DIFF (result, cell) is the ensemble comparison value.
– P1 (result, cell) is the onetailed pvalue.
– P2 (result, cell) is the twotailed pvalue.
– CIL (result, cell) is the lower value of the 95%% confidence interval.
– CIU (result, cell) is the upper value of the 95%% confidence interval.I also recommend checking our freely available tutorials online that explain how to perform graph and deep learning analysis using braph2. You can access them through this link: http://braph.org/tutorials/pipelines/pipelinefunctionalcomparisonbud/.
Let me know if you have any further questions.
Best,
YuWei 
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