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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Recent changes to stats</title><link>https://sourceforge.net/p/ba-py/wiki/stats/</link><description>Recent changes to stats</description><atom:link href="https://sourceforge.net/p/ba-py/wiki/stats/feed" rel="self"/><language>en</language><lastBuildDate>Sun, 28 Apr 2024 12:51:26 -0000</lastBuildDate><atom:link href="https://sourceforge.net/p/ba-py/wiki/stats/feed" rel="self" type="application/rss+xml"/><item><title>stats modified by BHM-Bob G</title><link>https://sourceforge.net/p/ba-py/wiki/stats/</link><description>&lt;div class="markdown_content"&gt;&lt;h1 id="brief"&gt;Brief&lt;/h1&gt;
&lt;p&gt;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.&lt;/p&gt;
&lt;h1 id="apis"&gt;APIs&lt;/h1&gt;
&lt;ol&gt;
&lt;li&gt;pca : func, wrap of sklearn.decomposition.PCA&lt;/li&gt;
&lt;/ol&gt;
&lt;h1 id="sub-module"&gt;sub-module&lt;/h1&gt;
&lt;h3 id="df"&gt;&lt;a class="" href="/p/ba-py/wiki/stats%20df/"&gt;df&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;pandas.dataFrame utils for stats&lt;/em&gt;&lt;br/&gt;
1. remove_simi: func for remove similar data in a pandas.Series&lt;br/&gt;
2. interp: func to make two pandas.Series the same length using numpy.interp&lt;br/&gt;
3. ...&lt;/p&gt;
&lt;h3 id="reg"&gt;&lt;a class="" href="/p/ba-py/wiki/stats%20reg/"&gt;reg&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;regression&lt;/em&gt;&lt;br/&gt;
1. linear_reg: do linear regression using sklearn.linear_model.LinearRegression&lt;br/&gt;
2. ...&lt;/p&gt;
&lt;h3 id="test"&gt;&lt;a class="" href="/p/ba-py/wiki/stats%20test/"&gt;test&lt;/a&gt;&lt;/h3&gt;
&lt;p&gt;&lt;em&gt;some test func(using scipy and mostly give a support for mbapy-style data input)&lt;/em&gt;&lt;br/&gt;
1. get_interval: func to get interval&lt;br/&gt;
2. _get_x1_x2: inner tool func: get x1 and x2 from a mbapy-style data input&lt;br/&gt;
3. _get_x1_x2_R: inner tool func: get x1 and ... from a mbapy-style data input&lt;br/&gt;
4. ttest_1samp: scipy.stats.ttest_1samp&lt;br/&gt;
5. ttest_ind: func to make scipy.stats.ttest_ind with scipy.stats.levene&lt;br/&gt;
6. ttest_rel: scipy.stats.ttest_rel&lt;br/&gt;
7. mannwhitneyu: scipy.stats.mannwhitneyu&lt;br/&gt;
8. shapiro: scipy.stats.shapiro&lt;br/&gt;
9. pearsonr: scipy.stats.pearsonr&lt;br/&gt;
10. _get_observe: inner tool func: get observe table from a mbapy-style data input&lt;br/&gt;
11. chi2_contingency: scipy.stats.chi2_contingency&lt;br/&gt;
12. fisher_exact: scipy.stats.fisher_exact&lt;br/&gt;
13. f_oneway: scipy.stats.f_oneway&lt;br/&gt;
14. multicomp_turkeyHSD: do multicomp(turkeyHSD) using statsmodels(pairwise_tukeyhsd)&lt;br/&gt;
15. multicomp_dunnett: do multicomp(dunnett) using scipy.stats.dunnett&lt;br/&gt;
16. multicomp_bonferroni: do multicomp(bonferroni) using scikit_posthocs&lt;br/&gt;
17. ...&lt;/p&gt;&lt;/div&gt;</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">BHM-Bob G</dc:creator><pubDate>Sun, 28 Apr 2024 12:51:26 -0000</pubDate><guid>https://sourceforge.net84493681ca37c89a93b83d4b97842cfb7569b0f1</guid></item></channel></rss>