Automatically store/load data in a tidy, efficient way.
Project description
PhD-utils
For people that have to compute and store a large variety of data and/or perform statistical inference.
Keep your files tidy!
Don't spend time creating directories, deciding filenames, saving, loading, etc. Decorators savefig & savedata will do it for you with optimal compression. More info at the tidypath repository.
Estimate confidence intervals
The module utils.resample allows calls to the resample R package.
- Provides CI and permutation tests.
- CIs can account narrowness bias, skewness and other errors in CI estimation, as indicated in the article
Numba-accelerated permutation tests
Subpackage utils.stats.tests.permutation.
- Faster permutation tests for the means and medians.
- Includes paired and block-paired cases.
- Schemes for adding other statistics in a numba-compatible way:
_permutation_test_2sample_paired,_permutation_test_2sample_paired_blockand_permutation_test_2sample_not_pairedfunctions.
Demo
Please check the example notebook.
Documentation
Install
-
For the R compatible installation first install R:
conda install -c conda-forge r r-essentials r-base -
Install with dependencies:
pip install phdu[dependencies]Where
dependenciescan beall(recommended),r(needed forresampleto work),statsmodels,matplotliborplotly.
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