Prepare switch to 0.2.4

docs/changelog.rst

@@ -15,7 +15,7 @@ a. Added :py:func:`pingouin.distance_corr` (distance correlation) function.
 b. :py:func:`pingouin.rm_corr` now requires at least 3 unique subjects (same behavior as the original R package).
 c. The :py:func:`pingouin.pairwise_corr` is faster and returns the number of outlier if a robust correlation is used.
 d. Added support for 2D level in the :py:func:`pingouin.pairwise_corr`. See Jupyter notebooks for examples.
-e. Added support for partial correlation in the :py:func:`pingouin.pairwise_corr`.
+e. Added support for partial correlation in the :py:func:`pingouin.pairwise_corr` function.
 f. Greatly improved execution speed of :py:func:`pingouin.correlation.skipped` function.
 g. Added default random state to compute the Min Covariance Determinant in the :py:func:`pingouin.correlation.skipped` function.
 h. The default number of bootstrap samples for the :py:func:`pingouin.correlation.shepherd` function is now set to 200 (previously 2000) to increase computation speed.
@@ -45,13 +45,13 @@ c. Added support for multiple parallel mediator in :py:func:`pingouin.mediation_
 d. Added support for covariates in :py:func:`pingouin.mediation_analysis`.
 e. Added seed argument to :py:func:`pingouin.mediation_analysis` for reproducible results.
 f. :py:func:`pingouin.mediation_analysis` now returns two-sided p-values computed with a permutation test.
-g. Added :py:func:`pingouin._perm_pval` to compute p-value from a permutation test.
+g. Added :py:func:`pingouin.utils._perm_pval` to compute p-value from a permutation test.
 
 **Bugs and tests**
 
 a. Travis and AppVeyor test for Python 3.5, 3.6 and 3.7.
 b. Better doctest & improved examples for many functions.
-c. Fix bug with :py:func:`pingouin.nonparametric.mad` when axis was not 0.
+c. Fixed bug with :py:func:`pingouin.mad` when axis was not 0.
 
 v0.2.3 (February 2019)
 ----------------------

notebooks/03_EffectSizes.ipynb

@@ -55,7 +55,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x2268e85dd30>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x1a5f677da90>"
       ]
      },
      "execution_count": 2,

notebooks/04_Correlations.ipynb

@@ -772,25 +772,25 @@
        "      <td>shepherd</td>\n",
        "      <td>two-sided</td>\n",
        "      <td>500</td>\n",
-       "      <td>15.0</td>\n",
-       "      <td>-0.32</td>\n",
+       "      <td>16.0</td>\n",
+       "      <td>-0.319</td>\n",
        "      <td>[-0.4, -0.24]</td>\n",
        "      <td>0.102</td>\n",
-       "      <td>0.099</td>\n",
-       "      <td>-0.332</td>\n",
-       "      <td>5.190185e-13</td>\n",
+       "      <td>0.098</td>\n",
+       "      <td>-0.331</td>\n",
+       "      <td>6.790904e-13</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "             X             Y    method       tail    n  outliers     r  \\\n",
-       "0  Neuroticism  Extraversion  shepherd  two-sided  500      15.0 -0.32   \n",
+       "             X             Y    method       tail    n  outliers      r  \\\n",
+       "0  Neuroticism  Extraversion  shepherd  two-sided  500      16.0 -0.319   \n",
        "\n",
        "           CI95%     r2  adj_r2      z         p-unc  power  \n",
-       "0  [-0.4, -0.24]  0.102   0.099 -0.332  5.190185e-13    1.0  "
+       "0  [-0.4, -0.24]  0.102   0.098 -0.331  6.790904e-13    1.0  "
       ]
      },
      "execution_count": 7,

pingouin/__init__.py

@@ -14,4 +14,4 @@
 from .regression import *
 from .plotting import *
 
-__version__ = "0.2.3"
+__version__ = "0.2.4"

setup.py

@@ -15,7 +15,7 @@ def read(fname):
 MAINTAINER_EMAIL = '[email protected]'
 URL = 'https://pingouin-stats.org/index.html'
 DOWNLOAD_URL = 'https://github.com/raphaelvallat/pingouin/'
-VERSION = '0.2.3'
+VERSION = '0.2.4'
 PACKAGE_DATA = {'pingouin.data.icons': ['*.svg']}
 
 INSTALL_REQUIRES = [