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`modelsummary` regression tables in a Jupyter notebook
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"id": "22675799", | |
"metadata": {}, | |
"source": [ | |
"The `modelsummary` package for `R` can produce regression tables in Jupyter notebook. This feature is only available in the development version on Github, but will be released as part of version 0.7.1." | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "c0731878", | |
"metadata": {}, | |
"source": [ | |
"First we load the package and set the default output format to \"jupyter\":" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"id": "aa039596", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"library(modelsummary)\n", | |
"options(modelsummary_default = \"jupyter\")" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "26f7ff06", | |
"metadata": {}, | |
"source": [ | |
"Then we estimate the model and draw a table:" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "ca7c08c7", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/html": [ | |
"<table class=\"table\" style=\"width: auto !important; margin-left: auto; margin-right: auto;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <th style=\"text-align:left;\"> </th>\n", | |
" <th style=\"text-align:center;\"> Model 1 </th>\n", | |
" <th style=\"text-align:center;\"> Model 2 </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
"<tbody>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> (Intercept) </td>\n", | |
" <td style=\"text-align:center;\"> 324.082 </td>\n", | |
" <td style=\"text-align:center;\"> 278.515 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> </td>\n", | |
" <td style=\"text-align:center;\"> (27.433) </td>\n", | |
" <td style=\"text-align:center;\"> (55.415) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> mpg </td>\n", | |
" <td style=\"text-align:center;\"> -8.830 </td>\n", | |
" <td style=\"text-align:center;\"> -9.985 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> </td>\n", | |
" <td style=\"text-align:center;\"> (1.310) </td>\n", | |
" <td style=\"text-align:center;\"> (1.792) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> drat </td>\n", | |
" <td style=\"text-align:center;\"> </td>\n", | |
" <td style=\"text-align:center;\"> 19.126 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> </td>\n", | |
" <td style=\"text-align:center;\"> </td>\n", | |
" <td style=\"text-align:center;\"> (20.198) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> Num.Obs. </td>\n", | |
" <td style=\"text-align:center;\"> 32 </td>\n", | |
" <td style=\"text-align:center;\"> 32 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> R2 </td>\n", | |
" <td style=\"text-align:center;\"> 0.602 </td>\n", | |
" <td style=\"text-align:center;\"> 0.614 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> R2 Adj. </td>\n", | |
" <td style=\"text-align:center;\"> 0.589 </td>\n", | |
" <td style=\"text-align:center;\"> 0.588 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> AIC </td>\n", | |
" <td style=\"text-align:center;\"> 336.9 </td>\n", | |
" <td style=\"text-align:center;\"> 337.9 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> BIC </td>\n", | |
" <td style=\"text-align:center;\"> 341.3 </td>\n", | |
" <td style=\"text-align:center;\"> 343.7 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> Log.Lik. </td>\n", | |
" <td style=\"text-align:center;\"> -165.428 </td>\n", | |
" <td style=\"text-align:center;\"> -164.940 </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <td style=\"text-align:left;\"> F </td>\n", | |
" <td style=\"text-align:center;\"> 45.460 </td>\n", | |
" <td style=\"text-align:center;\"> 23.100 </td>\n", | |
" </tr>\n", | |
"</tbody>\n", | |
"</table>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"mod <- list(\n", | |
" lm(hp ~ mpg, mtcars),\n", | |
" lm(hp ~ mpg + drat, mtcars))\n", | |
"\n", | |
"\n", | |
"modelsummary(mod)" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "R", | |
"language": "R", | |
"name": "ir" | |
}, | |
"language_info": { | |
"codemirror_mode": "r", | |
"file_extension": ".r", | |
"mimetype": "text/x-r-source", | |
"name": "R", | |
"pygments_lexer": "r", | |
"version": "4.0.4" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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