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update: all notebooks
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huangziwei committed Dec 18, 2024
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34 changes: 17 additions & 17 deletions examples/B1-Fisher-1993.ipynb

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30 changes: 15 additions & 15 deletions examples/B2-Zar-2010.ipynb

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48 changes: 24 additions & 24 deletions examples/B3-Pewsey-2014.ipynb

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12 changes: 6 additions & 6 deletions examples/T0-utils.ipynb
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"name": "stdout",
"output_type": "stream",
"text": [
"Last updated: 2024-12-11 11:51:35CET\n",
"Last updated: 2024-12-18 16:54:33CET\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.10.13\n",
"IPython version : 8.29.0\n",
"Python version : 3.12.8\n",
"IPython version : 8.30.0\n",
"\n",
"pycircstat2: 0.1.6\n",
"numpy : 2.1.3\n",
"numpy : 2.2.0\n",
"pycircstat2: 0.1.7\n",
"\n",
"Watermark: 2.5.0\n",
"\n"
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.12.8"
},
"orig_nbformat": 4
},
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14 changes: 7 additions & 7 deletions examples/T1-descriptive-statistics.ipynb
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"median 279.0 247.5 245.0 \n",
"mean 280.8 248.7 247.6 \n",
"95% median CI [245. 315.] [229. 277.] [229. 267.] \n",
"95% bootstrap mean CI [263.1 298.7] [218. 264.8] [231. 260.2] \n",
"95% bootstrap mean CI [264.7 299.2] [225.6 269.1] [227.5 257.7] \n",
"95% large-sample mean CI - - [232.7 262.5] \n"
]
}
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"name": "stdout",
"output_type": "stream",
"text": [
"Last updated: 2024-12-06 14:57:57CET\n",
"Last updated: 2024-12-18 16:54:42CET\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.10.13\n",
"IPython version : 8.29.0\n",
"Python version : 3.12.8\n",
"IPython version : 8.30.0\n",
"\n",
"numpy : 2.1.3\n",
"pycircstat2: 0.1.6\n",
"numpy : 2.2.0\n",
"pycircstat2: 0.1.7\n",
"\n",
"Watermark: 2.5.0\n",
"\n"
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.12.8"
},
"orig_nbformat": 4
},
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14 changes: 7 additions & 7 deletions examples/T2-hypothesis-testing.ipynb
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},
{
"cell_type": "code",
"execution_count": 2,
"execution_count": null,
"metadata": {},
"outputs": [
{
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"name": "stdout",
"output_type": "stream",
"text": [
"Last updated: 2024-12-06 14:58:46CET\n",
"Last updated: 2024-12-18 16:54:54CET\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.10.13\n",
"IPython version : 8.29.0\n",
"Python version : 3.12.8\n",
"IPython version : 8.30.0\n",
"\n",
"pycircstat2: 0.1.6\n",
"numpy : 2.1.3\n",
"numpy : 2.2.0\n",
"pycircstat2: 0.1.7\n",
"\n",
"Watermark: 2.5.0\n",
"\n"
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.13"
"version": "3.12.8"
},
"orig_nbformat": 4
},
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46 changes: 23 additions & 23 deletions examples/T3-circular-models.ipynb

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10 changes: 5 additions & 5 deletions examples/T4-regression.ipynb
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{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x11c76eed0>"
"<matplotlib.legend.Legend at 0x122301f40>"
]
},
"execution_count": 6,
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"name": "stdout",
"output_type": "stream",
"text": [
"Last updated: 2024-12-18 16:43:43CET\n",
"Last updated: 2024-12-18 16:55:17CET\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.12.8\n",
"IPython version : 8.30.0\n",
"\n",
"pycircstat2: 0.1.6\n",
"pycircstat2: 0.1.7\n",
"\n",
"pycircstat2: 0.1.6\n",
"matplotlib : 3.10.0\n",
"pandas : 2.2.3\n",
"numpy : 2.2.0\n",
"matplotlib : 3.10.0\n",
"pycircstat2: 0.1.7\n",
"\n",
"Watermark: 2.5.0\n",
"\n"
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