stats

Brief

Since mbapy gets it's special parameters passing way in sci-plot field, stats sub-module re-uses some APIs in plot sub-module for processing pandas.dataFrame to wrap some stats APIs' parameters passing way in scipy to work like mbapy.

APIs

1. pca : func, wrap of sklearn.decomposition.PCA

sub-module

df

pandas.dataFrame utils for stats

1. remove_simi: func for remove similar data in a pandas.Series
2. interp: func to make two pandas.Series the same length using numpy.interp
3. ...

reg

regression

1. linear_reg: do linear regression using sklearn.linear_model.LinearRegression
2. ...

test

some test func(using scipy and mostly give a support for mbapy-style data input)

1. get_interval: func to get interval
2. _get_x1_x2: inner tool func: get x1 and x2 from a mbapy-style data input
3. _get_x1_x2_R: inner tool func: get x1 and ... from a mbapy-style data input
4. ttest_1samp: scipy.stats.ttest_1samp
5. ttest_ind: func to make scipy.stats.ttest_ind with scipy.stats.levene
6. ttest_rel: scipy.stats.ttest_rel
7. mannwhitneyu: scipy.stats.mannwhitneyu
8. shapiro: scipy.stats.shapiro
9. pearsonr: scipy.stats.pearsonr
10. _get_observe: inner tool func: get observe table from a mbapy-style data input
11. chi2_contingency: scipy.stats.chi2_contingency
12. fisher_exact: scipy.stats.fisher_exact
13. f_oneway: scipy.stats.f_oneway
14. multicomp_turkeyHSD: do multicomp(turkeyHSD) using statsmodels(pairwise_tukeyhsd)
15. multicomp_dunnett: do multicomp(dunnett) using scipy.stats.dunnett
16. multicomp_bonferroni: do multicomp(bonferroni) using scikit_posthocs
17. ...