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I tried to run a script i have written last year and found that i am no longer able to calculate effectsize with dabestR with unbalanced data. I used to be able to get results regardless of the sampe size in each group.
Here an example with the data provided from dabest but removing one data point.
data(non_proportional_data)
test <- non_proportional_data
test <- test %>%
slice(-5)
dabest_obj <- load(test,
x = Group, y = Measurement,
idx = c("Control 1", "Test 1")
)
dabest_obj.mean_diff <- mean_diff(dabest_obj)
This leads to Error in PermutationTest(ctrl_measurement, test_measurement, effect_size = effect_size_type, : The two arrays do not have the same length.
Is it possible that that this is no longer supported or am I missing something?
Best,
Merlin
The text was updated successfully, but these errors were encountered:
Hello,
I tried to run a script i have written last year and found that i am no longer able to calculate effectsize with dabestR with unbalanced data. I used to be able to get results regardless of the sampe size in each group.
Here an example with the data provided from dabest but removing one data point.
This leads to
Error in PermutationTest(ctrl_measurement, test_measurement, effect_size = effect_size_type, : The two arrays do not have the same length.
Is it possible that that this is no longer supported or am I missing something?
Best,
Merlin
The text was updated successfully, but these errors were encountered: