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Statmanager-kr is open-source statistical package for researchers, data scientists, psychologist, studends, and anyone who need statistical analysis. Statmanager-kr aims to be a user-friendly statistical package that can be easily used by people who unfamiliar with programming language.
importpandasaspdfromstatmanagerimportStat_Manager# use your data file instead of 'testdf.csv'df=pd.read_csv('testdf.csv', index_col='id')
sm=Stat_Manager(df, language='eng')
Test Multiple Comparison ttest_ind FWER=0.05 method=bonf alphacSidak=0.02, alphacBonf=0.
group1
group2
stat
pval
pval_corr
reject
fupscore
postscore
0.1866
0.8526
1
FALSE
fupscore
prescore
-1.0849
0.2824
0.8473
FALSE
postscore
prescore
-1.2106
0.231
0.6929
FALSE
Related Software
As mentioned earlier, Statmanager-kr was developed to provide a user-friendly way to perform statistical analysis methods to test hypotheses, even if the researcher is not familiar with programming languages such as Python. As such, a related software that provides similar user-friendly features is Pingouin.
The main difference is that Statmanager-kr was developed with the goal of being a package that can be used by researchers who lack programming knowledge or experience. To this end, rather than implementing independent methods for each analysis, Statmanager-kr is designed to allow users to enter code in the same way at any time to perform statistical analysis and obtain the results. Of course, Pingouin also has user-friendly characteristics, but it is a package that is better suited for users with more programming experience and knowledge than Statmanager-kr. Due to this difference in characteristics, Statmanager-kr does not support the ability to fine-tune analysis methods by adjusting parameters, whereas Pingouin is useful for adjusting parameters to obtain more careful and suitable results.
In conclusion, Statmanager-kr is a good package for researchers who lack programming experience and knowledge and want to see results quickly. Pingouin, on the other hand, is a more suitable package for researchers with more programming experience and knowledge, who need a fine-tuned approach to each analysis method.
How to cite?
For inserting the citations, please use this:
Lee, C., (2024). Statmanager-kr: A User-friendly Statistical Package for Python in Pandas. Journal of Open Source Software, 9(102), 6642, https://doi.org/10.21105/joss.06642