현재 statamanager-kr은 manager.py 내에서 정해진 방식에 따라 분석이 진행되도록 코딩되어 있습니다.
현재 의도한 대로 기능은 잘 작동하고 버그가 거의 다 잡힌 것으로 보이지만, 각 기능을 업데이트하거나 수정함에 있어 다소 불편한 점이 있습니다.

그래서 더 많은 통계분석 기능이 추가되기 전에 미리 손을 보려고 합니다.
따라서 업데이트가 다소 지연될 수 있습니다. 양해해주세요!

Currently, statamanager-kr is coded so that the analysis proceeds in a prescribed manner within manager.py.
While it currently functions as intended and seems to be mostly bug-free, there are some inconveniences with updating or fixing each feature.

So I want to get my hands dirty before adding more statistical analysis features.
As a result, updates may be delayed a bit. Thanks for your patience!

I've been exploring your package and appreciate its capabilities. However, I encountered a couple of issues that I would like to bring to your attention:

1. The use of index_col="name" as suggested in the Quickstart guide does not work with the provided testdata/testdf.csv. It functions correctly when I switch to another variable, such as "id".

2. The bar plot generated by the command sm.progress(method='ttest_ind', vars='age', group_vars='sex').figure() appears misaligned. Is there a specific version of the plotting library that I should be using to ensure proper alignment?

Hi!
nice software you have there. I will use this issue to keep track of problems I found on the way to use it.

• the differences to pengouin are mentioned in the paper, but I would also add them to the readme under "related software" with a brief discussion of strengths of each
• a compatible python version should be provided. I'm running my tests with python 3.12 current version
• clarification: "with df that have a structure of WIDE-RANGE. " => is WIDE-RANGE the same as a tidy dataframe in R?
• while the errormessage is generally good (it tells me what I need to do), I don't understand why I need to specify an index for the DF.
• Search sm.howtouse("fgiure") for the function to draw pictures and graphs! => typo in figure
• in the howtouse() output it would be nice to get an example how to actual use a method, e.g. something like sm.progress(method = 'ttest_ind', vars = 'age', group_vars = 'sex').figure() - (not for every method, just one general example to get an idea how to use it)
• if I define an id="species", I cannot use it anymore as grouping variable
• if I specify more than 2 groups in ttest_ind, I get a very cryptic error AxisError: axismust be an integer, a tuple of integers, orNone.
• typo: Indenpendent in howtouse
• if I run ttest_rel I get a KeyError: 's' if I use the wrong call syntax (which is impossible to find out from the REPL/jupyter notebook, you have to look into the actual manual).
• automated testing: While in the docs in notion there are some printed comparisons against e.g. scipy, it is not clear whether these are run automatically (I didnt find the code for the documentation), or whether the author checked each for equivalence
• in a spot-check I saw that the cohen's d calculation was implemented by the author, but I cannot confirm that there exists a test for these functions.
• The JOSS Part " Community guidelines: Are there clear guidelines for third parties wishing to 1) Contribute to the software 2) Report issues or problems with the software 3) Seek support" is not completed as of now (or I missed it)

I will continue later, but the unittesting is really important, especially in a stats-package

Linking back to (openjournals/joss-reviews/issues/6642)