diff --git a/tableone.ipynb b/tableone.ipynb index 6b3aa38..236f7d3 100644 --- a/tableone.ipynb +++ b/tableone.ipynb @@ -435,7 +435,7 @@ "data": { "image/png": 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"text/plain": [ - "" + "" ] }, "metadata": {}, @@ -466,7 +466,7 @@ "data": { "image/png": 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\n", "text/plain": [ - "" + "" ] }, "metadata": {}, @@ -539,7 +539,7 @@ " 1000\n", " \n", " \n", - " Age, median (IQR)\n", + " Age, median [Q1,Q3]\n", " \n", " 0\n", " 68.00 [53.00,79.00]\n", @@ -599,19 +599,19 @@ "
[1] Warning, Hartigan's Dip Test reports possible multimodal distributions for: Age, SysABP, Height.
[2] Warning, Tukey test indicates far outliers in: Height.
[3] Warning, test for normality reports non-normal distributions for: Age, SysABP, Height, Weight.
" ], "text/plain": [ - " isnull overall\n", - "variable level \n", - "n 1000\n", - "Age, median (IQR) 0 68.00 [53.00,79.00]\n", - "SysABP, mean (SD) 291 114.25 (40.16)\n", - "Height, mean (SD) 475 170.09 (22.06)\n", - "Weight, mean (SD) 302 82.93 (23.83)\n", - "ICU, n (%) CCU 0 162 (16.2)\n", - " CSRU 202 (20.2)\n", - " MICU 380 (38.0)\n", - " SICU 256 (25.6)\n", - "mortality, n (%) 0 0 864 (86.4)\n", - " 1 136 (13.6)\n", + " isnull overall\n", + "variable level \n", + "n 1000\n", + "Age, median [Q1,Q3] 0 68.00 [53.00,79.00]\n", + "SysABP, mean (SD) 291 114.25 (40.16)\n", + "Height, mean (SD) 475 170.09 (22.06)\n", + "Weight, mean (SD) 302 82.93 (23.83)\n", + "ICU, n (%) CCU 0 162 (16.2)\n", + " CSRU 202 (20.2)\n", + " MICU 380 (38.0)\n", + " SICU 256 (25.6)\n", + "mortality, n (%) 0 0 864 (86.4)\n", + " 1 136 (13.6)\n", "[1] Warning, Hartigan's Dip Test reports possible multimodal distributions for: Age, SysABP, Height.\n", "[2] Warning, Tukey test indicates far outliers in: Height.\n", "[3] Warning, test for normality reports non-normal distributions for: Age, SysABP, Height, Weight." @@ -738,7 +738,7 @@ " 136\n", " \n", " \n", - " Age, median (IQR)\n", + " Age, median [Q1,Q3]\n", " \n", " 0\n", " 66.00 [52.75,78.00]\n", @@ -808,20 +808,20 @@ "
[1] Warning, Hartigan's Dip Test reports possible multimodal distributions for: Age, Height, SysABP.
[2] Warning, Tukey test indicates far outliers in: Height, SysABP.
[3] Warning, test for normality reports non-normal distributions for: Age, Height, SysABP, Weight.
" ], "text/plain": [ - " Grouped by death \n", - " isnull 0 1\n", - "variable level \n", - "n 864 136\n", - "Age, median (IQR) 0 66.00 [52.75,78.00] 75.00 [62.00,83.00]\n", - "SysABP, mean (SD) 291 115.36 (38.34) 107.57 (49.43)\n", - "Height, mean (SD) 475 170.33 (23.22) 168.51 (11.31)\n", - "Weight, mean (SD) 302 83.04 (23.58) 82.29 (25.40)\n", - "ICU, n (%) CCU 0 137 (15.86) 25 (18.38)\n", - " CSRU 194 (22.45) 8 (5.88)\n", - " MICU 318 (36.81) 62 (45.59)\n", - " SICU 215 (24.88) 41 (30.15)\n", - "death, n (%) 0 0 864 (100.0) \n", - " 1 136 (100.0)\n", + " Grouped by death \n", + " isnull 0 1\n", + "variable level \n", + "n 864 136\n", + "Age, median [Q1,Q3] 0 66.00 [52.75,78.00] 75.00 [62.00,83.00]\n", + "SysABP, mean (SD) 291 115.36 (38.34) 107.57 (49.43)\n", + "Height, mean (SD) 475 170.33 (23.22) 168.51 (11.31)\n", + "Weight, mean (SD) 302 83.04 (23.58) 82.29 (25.40)\n", + "ICU, n (%) CCU 0 137 (15.86) 25 (18.38)\n", + " CSRU 194 (22.45) 8 (5.88)\n", + " MICU 318 (36.81) 62 (45.59)\n", + " SICU 215 (24.88) 41 (30.15)\n", + "death, n (%) 0 0 864 (100.0) \n", + " 1 136 (100.0)\n", "[1] Warning, Hartigan's Dip Test reports possible multimodal distributions for: Age, Height, SysABP.\n", "[2] Warning, Tukey test indicates far outliers in: Height, SysABP.\n", "[3] Warning, test for normality reports non-normal distributions for: Age, Height, SysABP, Weight." @@ -928,7 +928,7 @@ " \n", " \n", " \n", - " Age, median (IQR)\n", + " Age, median [Q1,Q3]\n", " \n", " 0\n", " 66.00 [52.75,78.00]\n", @@ -1018,20 +1018,20 @@ "
[1] Warning, Hartigan's Dip Test reports possible multimodal distributions for: Age, Height, SysABP.
[2] Warning, Tukey test indicates far outliers in: Height, SysABP.
[3] Warning, test for normality reports non-normal distributions for: Age, Height, SysABP, Weight.
" ], "text/plain": [ - " Grouped by death \n", - " isnull 0 1 pval ptest\n", - "variable level \n", - "n 864 136 \n", - "Age, median (IQR) 0 66.00 [52.75,78.00] 75.00 [62.00,83.00] <0.001 Kruskal-Wallis\n", - "SysABP, mean (SD) 291 115.36 (38.34) 107.57 (49.43) 0.134 Two Sample T-test\n", - "Height, mean (SD) 475 170.33 (23.22) 168.51 (11.31) 0.304 Two Sample T-test\n", - "Weight, mean (SD) 302 83.04 (23.58) 82.29 (25.40) 0.782 Two Sample T-test\n", - "ICU, n (%) CCU 0 137 (15.86) 25 (18.38) <0.001 Chi-squared\n", - " CSRU 194 (22.45) 8 (5.88) \n", - " MICU 318 (36.81) 62 (45.59) \n", - " SICU 215 (24.88) 41 (30.15) \n", - "death, n (%) 0 0 864 (100.0) <0.001 Chi-squared\n", - " 1 136 (100.0) \n", + " Grouped by death \n", + " isnull 0 1 pval ptest\n", + "variable level \n", + "n 864 136 \n", + "Age, median [Q1,Q3] 0 66.00 [52.75,78.00] 75.00 [62.00,83.00] <0.001 Kruskal-Wallis\n", + "SysABP, mean (SD) 291 115.36 (38.34) 107.57 (49.43) 0.134 Two Sample T-test\n", + "Height, mean (SD) 475 170.33 (23.22) 168.51 (11.31) 0.304 Two Sample T-test\n", + "Weight, mean (SD) 302 83.04 (23.58) 82.29 (25.40) 0.782 Two Sample T-test\n", + "ICU, n (%) CCU 0 137 (15.86) 25 (18.38) <0.001 Chi-squared\n", + " CSRU 194 (22.45) 8 (5.88) \n", + " MICU 318 (36.81) 62 (45.59) \n", + " SICU 215 (24.88) 41 (30.15) \n", + "death, n (%) 0 0 864 (100.0) <0.001 Chi-squared\n", + " 1 136 (100.0) \n", "[1] Warning, Hartigan's Dip Test reports possible multimodal distributions for: Age, Height, SysABP.\n", "[2] Warning, Tukey test indicates far outliers in: Height, SysABP.\n", "[3] Warning, test for normality reports non-normal distributions for: Age, Height, SysABP, Weight." diff --git a/tableone.py b/tableone.py index 3b8767a..9b75a03 100644 --- a/tableone.py +++ b/tableone.py @@ -67,7 +67,7 @@ class TableOne(object): Add remarks on the appropriateness of the summary measures and the statistical tests (default: True). label_suffix : bool, optional - Append summary type (e.g. "mean (SD); median (IQR), n (%); ") to the + Append summary type (e.g. "mean (SD); median [Q1,Q3], n (%); ") to the row label (default: False). Attributes @@ -795,7 +795,7 @@ def _create_row_labels(self): if self._label_suffix: for k in labels.keys(): if k in self._nonnormal: - labels[k] = "{}, {}".format(labels[k],"median (IQR)") + labels[k] = "{}, {}".format(labels[k],"median [Q1,Q3]") elif k in self._categorical: labels[k] = "{}, {}".format(labels[k],"n (%)") else: