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short_courses/r_functions.ipynb

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@@ -362,9 +362,9 @@
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"- Calculate averages (mean) of different columns in the dataset for each of the BMI categories (e.g. average incidence of diabetes in each of the BMI categories).\n",
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"\n",
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"The code below calculates the averages for each BMI category of three different columns:\n",
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"- `Total_body_fat_pct`: `Total_body_fat_pct`: total body fat percentage\n",
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"- `Diabetes`: `Diabetes`: whether the subject has diabetes (`1`) or not (`0`)\n",
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"- `Total_cholesterol`: `Total_cholesterol`: total cholesterol in blood (mg/dL)\n",
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"- `Total_body_fat_pct`: total body fat percentage\n",
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"- `Diabetes`: whether the subject has diabetes (`1`) or not (`0`)\n",
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"- `Total_cholesterol`: total cholesterol in blood (mg/dL)\n",
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"\n",
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"Later, we will see a way we can write functions to simplify the code."
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