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Dear idtxl Team,
Hi,I‘m a student utilizing idtxl for analyzing my research data.
During my analysis, I encountered the following warning message and would appreciate your assistance in understanding its meaning and addressing related concerns:
WARNING: Number of replications is not sufficient to generate the desired number of surrogates. Permuting samples in time instead.
maximum statistic, n_perm: 200
Could you please provide clarification regarding the meaning and implications of this warning message? What does it indicate when the number of replications is considered insufficient? How does idtxl handle this situation by permuting samples in time?
Additionally, I have been searching for documentation or information pertaining to the replication parameter in idtxl, but have been unable to find any specific details. Could you kindly provide information on how to set and adjust the replication parameter? What is the default value, and how does it impact the analysis?
After encountering the aforementioned warning message, does idtxl automatically adjust any settings or parameters? If so, could you please explain the automatic adjustments that occur after encountering this warning?
I am grateful for your time and support in addressing these concerns. As a student utilizing idtxl, your guidance would greatly contribute to my research analysis. Thank you for your dedication in developing and maintaining the idtxl library.
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Dear idtxl Team,
Hi,I‘m a student utilizing idtxl for analyzing my research data.
During my analysis, I encountered the following warning message and would appreciate your assistance in understanding its meaning and addressing related concerns:
WARNING: Number of replications is not sufficient to generate the desired number of surrogates. Permuting samples in time instead.
maximum statistic, n_perm: 200
Could you please provide clarification regarding the meaning and implications of this warning message? What does it indicate when the number of replications is considered insufficient? How does idtxl handle this situation by permuting samples in time?
Additionally, I have been searching for documentation or information pertaining to the
replication
parameter in idtxl, but have been unable to find any specific details. Could you kindly provide information on how to set and adjust thereplication
parameter? What is the default value, and how does it impact the analysis?After encountering the aforementioned warning message, does idtxl automatically adjust any settings or parameters? If so, could you please explain the automatic adjustments that occur after encountering this warning?
I am grateful for your time and support in addressing these concerns. As a student utilizing idtxl, your guidance would greatly contribute to my research analysis. Thank you for your dedication in developing and maintaining the idtxl library.
Best regards,
Bernadetta Pitkin
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