From psytao18 at connect.hku.hk  Mon Feb  6 06:00:05 2023
From: psytao18 at connect.hku.hk (Xia Tao)
Date: Mon, 6 Feb 2023 11:00:05 +0000
Subject: [Mne_analysis] Cluster-based permutation test with correlation
Message-ID: <TYYP286MB121030B3331895DCD680F0DAF8DA9@TYYP286MB1210.JPNP286.PROD.OUTLOOK.COM>

        External Email - Use Caution        

Dear MNE users,

I am trying to explore the relationship between my behavioral outcome and sigma power at all time points. I attempted to conduct a permutation cluster test using Pearson correlation as my statistic, but I encountered an error: TypeError: No loop matching the specified signature and casting was found for ufunc add.

If anyone has encountered this issue and knows how to resolve it, I would greatly appreciate your help.

Here is the code and error in detail:

def statistic(x, y):
    return pearsonr(x, y).statistic

c_obs, clusters_c, cluster_p_values, H0 = \
    permutation_cluster_test([sigma,behavioral],tail=0,threshold=0.05,stat_fun=statistic,n_jobs=-1,n_permutations=1000)#competition vs noncompetition

error:
[cid:c4c57b94-82d8-45b9-b310-e92df4421778]
Thank you,
Tao














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From larson.eric.d at gmail.com  Mon Feb  6 09:48:39 2023
From: larson.eric.d at gmail.com (Eric Larson)
Date: Mon, 6 Feb 2023 09:48:39 -0500
Subject: [Mne_analysis] Cluster-based permutation test with correlation
In-Reply-To: <TYYP286MB121030B3331895DCD680F0DAF8DA9@TYYP286MB1210.JPNP286.PROD.OUTLOOK.COM>
References: <TYYP286MB121030B3331895DCD680F0DAF8DA9@TYYP286MB1210.JPNP286.PROD.OUTLOOK.COM>
Message-ID: <CAGu2niWfmVtn=0kFA9YDXocCZMv1gzGayFd+-izOO6A_zaPr8A@mail.gmail.com>

        External Email - Use Caution        

It's probably worth searching something like "cluster correlations" on
MNE's Discourse forum, this is the first result for example (but there are
probably other relevant ones):

https://secure-web.cisco.com/1Wv3G9Thqu_oLCxyi15yhRqKEe3lE-vDkD1DcSXJFf1N4Ap6HFFqdoWUkiMqUWQZAPe4DJedmfVzM8pXpiJ_E8EY3KSDyCHNKwalczZkkA5m-plWWyaFskBtHtG999stg5omav3WcErdUrrLMjxH3H8nVmFEivD8oSPS6EjQcRVTvreBUcku76sA3uc3yzaajojS6lsI5uix_eY9wyuTcUznyVcr5-ntAtJ2IqUD9Edre0ergOMfelgMaDh6P2WcLo9Vh_8TnBhJSX8NY6MguiM08TXwD1o122Tp9EALU7ZPTVExHvucVNnAEcVatD4xGAf27cXht37pJmtY6lg4bnQ/https%3A%2F%2Fmne.discourse.group%2Ft%2Fcluster-based-correlations-in-mne%2F1508

Eric


On Mon, Feb 6, 2023 at 6:00 AM Xia Tao <psytao18 at connect.hku.hk> wrote:

>         External Email - Use Caution
>
> Dear MNE users,
>
> I am trying to explore the relationship between my behavioral outcome and
> sigma power at all time points. I attempted to conduct a permutation
> cluster test using Pearson correlation as my statistic, but I encountered
> an error: TypeError: No loop matching the specified signature and casting
> was found for ufunc add.
>
> If anyone has encountered this issue and knows how to resolve it, I would
> greatly appreciate your help.
>
> Here is the code and error in detail:
>
> def statistic(x, y):
>     return pearsonr(x, y).statistic
>
> c_obs, clusters_c, cluster_p_values, H0 = \
>
> permutation_cluster_test([sigma,behavioral],tail=0,threshold=0.05,stat_fun=statistic,n_jobs=-1,n_permutations=1000)#competition
> vs noncompetition
>
> error:
> Thank you,
> Tao
>
>
>
>
>
>
>
>
>
>
>
>
>
>
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> https://secure-web.cisco.com/1oYkB70EVUJVu1qrmwyyre_nYKeE1LJrGqL9sZ7yvlH3ggywPdRjya3V8iyyOKOMwiP5ePFaT9LLZsMxHkz4eCVLpzodqh163KnGSskKOFgpjxL20VNWhASlmlFOjS3ss2otQEShtrLL91b5EbCPtyjfbHqpfuTKI7ylhMNGIZe1M6jrcw0TY3kacy1imSVpWs1Kgnt5mtoZQLPuYchxDdPIm8e1p6ndKm6jLrvjxubueVmEnB7Cv1LqA6YBCxHTe20e3fLZiB4SlsKQM00ZERSYnyqjc-Tpc5PIK0q9m1eUrb6cOYIMJxv0S1BVV_vbbxfyLKFYsdKoL7YsUE3fi7w/https%3A%2F%2Fwww.massgeneralbrigham.org%2Fcomplianceline> .
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