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I'm trying to complete a between-group analysis (i.e. control group vs. test group) across 3 different control conditions. You have an excellent option for this (final plot on: https://acclab.github.io/dabestr/articles/tutorial_basics.html), but I get the following error:
"Error in PermutationTest(ctrl_measurement, test_measurement, effect_size = effect_size_type, :
The two arrays do not have the same length."
Is there perhaps something I am not doing correctly? To me the arrays should not need the same length.
Kind regards,
Mark
The text was updated successfully, but these errors were encountered:
Per my comment above, it seems to do this even when I try just a simple between-group comparison just for the control group (n=64) vs. the test1 group (n=15). I get the same error.
I'm trying to complete a between-group analysis (i.e. control group vs. test group) across 3 different control conditions. You have an excellent option for this (final plot on: https://acclab.github.io/dabestr/articles/tutorial_basics.html), but I get the following error:
"Error in PermutationTest(ctrl_measurement, test_measurement, effect_size = effect_size_type, :
The two arrays do not have the same length."
Is there perhaps something I am not doing correctly? To me the arrays should not need the same length.
Kind regards,
Mark
The text was updated successfully, but these errors were encountered: