ACCLAB/dabestr

Error with different sample sizes for independent samples

gra-minardi opened this issue · 2 comments

gra-minardi commented

Hi!
I'm testing the functionality of the latest version of dabestr by adapting an example from the tutorial. Simply changing the size of one of the samples throws error.
This is the example:

library(dabestr)
library(tidyverse)

data("non_proportional_data")

non_prop <- non_proportional_data %>%
filter(Group %in% c("Control 1", "Test 1"))

non_prop <- non_prop[1:36,] #Control 1 has 20 obs, Test 1 has 16 obs

dabest_obj.mean_diff <- load( data = non_prop,
x = Group,
y = Measurement,
idx = c("Control 1", "Test 1")) %>%
mean_diff()

Which generates the following error:
Error in PermutationTest(ctrl_measurement, test_measurement, effect_size = effect_size_type, :
The two arrays do not have the same length.

I would appreciate suggestions! Thank you!

sunroofgod commented

Hi @gra-minardi!

This issue has been addressed previously and resolved in the latest version that is available on the development branch.

You may update your version of dabestr to the development version via:

devtools::install_github(repo = "ACCLAB/dabestr", ref = "dev")

You may also see the issue thread regarding the same issue here: #154.

Hope this helps :)

gra-minardi commented

Its works fine! Thanks a lot!

  • 😄1