From eb9dc86ebdefd5f52040ba15d1e2374a43ed2e78 Mon Sep 17 00:00:00 2001
From: aschleg <aaron@aaronschlegel.me>
Date: Mon, 10 Aug 2020 11:50:29 -0700
Subject: [PATCH] updates to readme, some finalish changes to waldwolf test,
 update docs

---
 README.md                                     |  1 +
 ...pothetical.nonparametric.VanDerWaerden.rst | 22 +++++++++++++++++++
 hypothetical/nonparametric.py                 |  5 ++---
 3 files changed, 25 insertions(+), 3 deletions(-)
 create mode 100644 docs/source/generated/hypothetical.nonparametric.VanDerWaerden.rst

diff --git a/README.md b/README.md
index c157cb8..6e036de 100644
--- a/README.md
+++ b/README.md
@@ -75,6 +75,7 @@ python setup.py install
 * Mann-Whitney (two sample nonparametric variant of t-test)
 * Mood's Median test
 * One-sample Runs Test
+* Wald-Wolfowitz Two-Sample Runs Test
 * Sign test of consistent differences between observation pairs
 * Wald-Wolfowitz Two-Sample Runs test
 * Wilcoxon Rank Sum Test (one sample nonparametric variant of paired and one-sample t-test)
diff --git a/docs/source/generated/hypothetical.nonparametric.VanDerWaerden.rst b/docs/source/generated/hypothetical.nonparametric.VanDerWaerden.rst
new file mode 100644
index 0000000..20d689a
--- /dev/null
+++ b/docs/source/generated/hypothetical.nonparametric.VanDerWaerden.rst
@@ -0,0 +1,22 @@
+hypothetical.nonparametric.VanDerWaerden
+========================================
+
+.. currentmodule:: hypothetical.nonparametric
+
+.. autoclass:: VanDerWaerden
+
+   
+   .. automethod:: __init__
+
+   
+   .. rubric:: Methods
+
+   .. autosummary::
+   
+      ~VanDerWaerden.__init__
+   
+   
+
+   
+   
+   
\ No newline at end of file
diff --git a/hypothetical/nonparametric.py b/hypothetical/nonparametric.py
index b8aa728..8412afa 100644
--- a/hypothetical/nonparametric.py
+++ b/hypothetical/nonparametric.py
@@ -1799,10 +1799,9 @@ def __init__(self, x, y, continuity=True):
     def _test(self):
         a = pd.DataFrame({'a': list(np.repeat('A', len(self.x))), 'b': self.x})
         b = pd.DataFrame({'a': list(np.repeat('B', len(self.y))), 'b': self.y})
-        c = a.append(b)
-        d = c.sort_values('b')['a']
+        c = a.append(b).sort_values('b')['a']
 
-        r = count_runs(d)[1]
+        r = count_runs(c)[1]
         r_range = np.arange(2, r + 1)
         evens = r_range[r_range % 2 == 0]
         odds = r_range[r_range % 2 != 0]