informative error for identical values

Author: Jacobluke-

dabest/_bootstrap_tools.py

@@ -113,8 +113,10 @@ def __init__(
                     wilcoxonresult = wilcoxon(x1, x2)[1]
                 except ValueError as e:
                     warnings.warn("Wilcoxon test could not be performed. This might be due "
-                      "to identical values under the same group. "
-                      "Details: {}".format(e))
+                    "to no variability in the difference of the paired groups. \n"
+                    "Error: {}\n"
+                    "For detailed information, please refer to https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.wilcoxon.html "
+                    .format(e))
             mannwhitneyresult = "NIL"
 
             # Turns data into array, then tuple.

dabest/_delta_objects.py

@@ -555,7 +555,7 @@ def __repr__(self, header=True, sigfig=3):
         bs = bs1 + bs2
 
         pval_def1 = "Any p-value reported is the probability of observing the" + \
-                    "effect size (or greater),\nassuming the null hypothesis of" + \
+                    "effect size (or greater),\nassuming the null hypothesis of " + \
                     "zero difference is true."
         pval_def2 = "\nFor each p-value, 5000 reshuffles of the " + \
                     "control and test labels were performed."

dabest/_effsize_objects.py

@@ -219,7 +219,7 @@ def __repr__(self, show_resample_count=True, define_pval=True, sigfig=3):
 
         pval_def1 = (
             "Any p-value reported is the probability of observing the"
-            + "effect size (or greater),\nassuming the null hypothesis of"
+            + "effect size (or greater),\nassuming the null hypothesis of "
             + "zero difference is true."
         )
         pval_def2 = (
@@ -335,8 +335,10 @@ def _perform_statistical_test(self):
                 self.__statistic_wilcoxon = wilcoxon.statistic
             except ValueError as e:
                 warnings.warn("Wilcoxon test could not be performed. This might be due "
-                  "to identical values under the same group. "
-                  "Details: {}".format(e))
+                    "to no variability in the difference of the paired groups. \n"
+                    "Error: {}\n"
+                    "For detailed information, please refer to https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.wilcoxon.html "
+                    .format(e))
 
             if self.__effect_size != "median_diff":
                 # Paired Student's t-test.

nbs/API/bootstrap.ipynb

@@ -161,8 +161,10 @@
     "                    wilcoxonresult = wilcoxon(x1, x2)[1]\n",
     "                except ValueError as e:\n",
     "                    warnings.warn(\"Wilcoxon test could not be performed. This might be due \"\n",
-    "                      \"to identical values under the same group. \"\n",
-    "                      \"Details: {}\".format(e))\n",
+    "                    \"to no variability in the difference of the paired groups. \\n\"\n",
+    "                    \"Error: {}\\n\"\n",
+    "                    \"For detailed information, please refer to https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.wilcoxon.html \"\n",
+    "                    .format(e))\n",
     "            mannwhitneyresult = \"NIL\"\n",
     "\n",
     "            # Turns data into array, then tuple.\n",

nbs/API/delta_objects.ipynb

@@ -697,7 +697,7 @@
     "        bs = bs1 + bs2\n",
     "\n",
     "        pval_def1 = \"Any p-value reported is the probability of observing the\" + \\\n",
-    "                    \"effect size (or greater),\\nassuming the null hypothesis of\" + \\\n",
+    "                    \"effect size (or greater),\\nassuming the null hypothesis of \" + \\\n",
     "                    \"zero difference is true.\"\n",
     "        pval_def2 = \"\\nFor each p-value, 5000 reshuffles of the \" + \\\n",
     "                    \"control and test labels were performed.\"\n",

nbs/API/effsize_objects.ipynb

@@ -281,7 +281,7 @@
     "\n",
     "        pval_def1 = (\n",
     "            \"Any p-value reported is the probability of observing the\"\n",
-    "            + \"effect size (or greater),\\nassuming the null hypothesis of\"\n",
+    "            + \"effect size (or greater),\\nassuming the null hypothesis of \"\n",
     "            + \"zero difference is true.\"\n",
     "        )\n",
     "        pval_def2 = (\n",
@@ -397,8 +397,10 @@
     "                self.__statistic_wilcoxon = wilcoxon.statistic\n",
     "            except ValueError as e:\n",
     "                warnings.warn(\"Wilcoxon test could not be performed. This might be due \"\n",
-    "                  \"to identical values under the same group. \"\n",
-    "                  \"Details: {}\".format(e))\n",
+    "                    \"to no variability in the difference of the paired groups. \\n\"\n",
+    "                    \"Error: {}\\n\"\n",
+    "                    \"For detailed information, please refer to https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.wilcoxon.html \"\n",
+    "                    .format(e))\n",
     "\n",
     "            if self.__effect_size != \"median_diff\":\n",
     "                # Paired Student's t-test.\n",