brainGraph-help

I apologize for such a long delay; I hadn't been able to devote time to the package. But I will

Hi, 1. I would not expect the means to be the same. The group-level graph is created from the mean of

Thanks Chris, The code works great! Yes, I'll consider running the code directly from the

Thanks for the guidance. I realized that I need to binarize the matrix first before passing it into

It won't (necessarily) create random lattice networks; that is, "true" lattices. But

Thanks for figuring that out. On Windows, you would probably have to export the variable "atlas.

Works perfectly, thank you so much! From: <braingr...@googlegroups.com> on behalf of Chris

Hi Li, so you are interested in Cohen's d then? Be aware that this effect size is specifically

Hi Chris, I solved the error by modifying the code string in "import.R" file, now it works.

Can you also post "str(covars)" On Wed, Jun 17, 2020 at 2:04 PM Lucinda <lucinda.sisk@

Thank you, Chris! I tried them, and the results are: arrangeGrob(plot(res.glm)) # Console output some

Hi both, I am also interested in computing graph level local efficiency and came across this thread.

This is indeed outside the scope of this mailing list as it is up to the user to decide based on the

Hi Chris, thank you so much. You were right. I was able to fix it by reassigning sigma to the graph

Perfect, thank you! On Friday, February 7, 2020 at 4:49:39 PM UTC-5, Chris Watson wrote: 1. Yes, the

Got it. I'm glad it turned out to be something simple. I'll fix the function so that it

Hi Chris, This seems to be my first Christmas present of this year, it's indeed fixed by changing

Hi, I run the code now and get the expected result; ie, that Lp is greater in Controls than MA. I

Hi Amir, is there any way you can save the connectivity matrices as ".txt" files? That is,

Thanks for the kind words. Please feel free to request any other features or statistics you would

I actually don't quite remember, as I created the tables several years ago and was not very

Hi Philipp, I just noticed that I never replied to this, so I apologize. 1. The reason is basically

Hi Philipp, Thanks for reporting back, and for bringing that thread up. I meant to add that feature

I'm glad updating fixed the issue. Let me know if you experience any others. Chris On Tue, Oct 15

I discovered the issue. Your graph "g.tmp" is a fully connected graph; ie, it's density

No, this doesn't involve clustering. You will probably have to remove negative edge weights from

I am glad you discovered the cause. If you have more issues, let me know. Chris PS Is your data

1. Yes, in "analysis_random_graphs", it saves the random graphs individually, and then

That seems to work, thanks! If I can find a way to reliably reproduce the segfault (without sending

Hi Syam, You can, essentially, do whatever you want here, as long as you can justify it. That