A Fine is a Price.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This notebook looks at the research in the paper [A Fine is a Price](https://rady.ucsd.edu/faculty/directory/gneezy/pub/docs/fine.pdf) by Uri Gneezy and Aldo Rustichini.\n",
    "\n",
    "In this study they experiment on 10 private day-care centres (2 were removed because of incomplete data) in Haifa, Isreal from January to June 1998.\n",
    "Initially there are no penalties for late pickup.\n",
    "From the fifth week to the sixteenth week in the 6 test centres a fine of NIS 10 is charged for pickup at least 10 minutes late, added to their fee of NIS 1400 paid each month.\n",
    "From the seventeenth to the twentieth the fine is removed with no explanation in the test group.\n",
    "\n",
    "The goal of the study is to understand the impact of this fee on pickups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "suppressPackageStartupMessages(library(rstanarm))\n",
    "suppressPackageStartupMessages(library(ggformula))\n",
    "library(tibble)\n",
    "suppressPackageStartupMessages(library(glue))\n",
    "suppressPackageStartupMessages(library(dplyr))\n",
    "library(stringr)\n",
    "library(tidyr)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Set the maximum number of columns and rows to display\n",
    "options(repr.matrix.max.cols=150, repr.matrix.max.rows=200)\n",
    "# Set the default plot size\n",
    "options(repr.plot.width=18, repr.plot.height=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The data is reproduced from Table 1 in the paper\n",
    "\n",
    "> The first column reports the number  of  the  day-care  centers  in  our  study  (the  first  six  are  the  test  group,where a fine was introduced, and the last four are the control group). Thesecond column reports the total number of children in the center. The othercolumns report the number of times per week that parents came late (eachoccurrence of a delay is a separate item). For example, in week 4 day-care center number 3 had nine cases of late-arriving parents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[36m──\u001b[39m \u001b[1m\u001b[1mColumn specification\u001b[1m\u001b[22m \u001b[36m────────────────────────────────────────────────────────────────────────────────────────────────\u001b[39m\n",
      "cols(\n",
      "  .default = col_double(),\n",
      "  condition = \u001b[31mcol_character()\u001b[39m\n",
      ")\n",
      "\u001b[36mℹ\u001b[39m Use \u001b[30m\u001b[47m\u001b[30m\u001b[47m`spec()`\u001b[47m\u001b[30m\u001b[49m\u001b[39m for the full column specifications.\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "df_raw <- readr::read_csv('data/gneezy_fine_price.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A spec_tbl_df: 10 × 23</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>condition</th><th scope=col>centre_id</th><th scope=col>children</th><th scope=col>1</th><th scope=col>2</th><th scope=col>3</th><th scope=col>4</th><th scope=col>5</th><th scope=col>6</th><th scope=col>7</th><th scope=col>⋯</th><th scope=col>11</th><th scope=col>12</th><th scope=col>13</th><th scope=col>14</th><th scope=col>15</th><th scope=col>16</th><th scope=col>17</th><th scope=col>18</th><th scope=col>19</th><th scope=col>20</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>⋯</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>Test   </td><td> 1</td><td>37</td><td> 8</td><td> 8</td><td> 7</td><td> 6</td><td> 8</td><td> 9</td><td> 9</td><td>⋯</td><td>15</td><td>13</td><td>14</td><td>16</td><td>14</td><td>15</td><td>16</td><td>13</td><td>15</td><td>17</td></tr>\n",
       "\t<tr><td>Test   </td><td> 2</td><td>35</td><td> 6</td><td> 7</td><td> 3</td><td> 5</td><td> 2</td><td>11</td><td>14</td><td>⋯</td><td>10</td><td>14</td><td>14</td><td>16</td><td>12</td><td>17</td><td>14</td><td>10</td><td>14</td><td>15</td></tr>\n",
       "\t<tr><td>Test   </td><td> 3</td><td>35</td><td> 8</td><td> 9</td><td> 8</td><td> 9</td><td> 3</td><td> 5</td><td>15</td><td>⋯</td><td>20</td><td>18</td><td>25</td><td>22</td><td>27</td><td>19</td><td>20</td><td>23</td><td>23</td><td>22</td></tr>\n",
       "\t<tr><td>Test   </td><td> 4</td><td>34</td><td>10</td><td> 3</td><td>14</td><td> 9</td><td> 6</td><td>24</td><td> 8</td><td>⋯</td><td>25</td><td>18</td><td>23</td><td>22</td><td>24</td><td>17</td><td>15</td><td>23</td><td>25</td><td>18</td></tr>\n",
       "\t<tr><td>Test   </td><td> 5</td><td>33</td><td>13</td><td>12</td><td> 9</td><td>13</td><td>15</td><td>10</td><td>27</td><td>⋯</td><td>24</td><td>32</td><td>29</td><td>29</td><td>26</td><td>31</td><td>26</td><td>35</td><td>29</td><td>28</td></tr>\n",
       "\t<tr><td>Test   </td><td> 6</td><td>28</td><td> 5</td><td> 8</td><td> 7</td><td> 5</td><td> 5</td><td> 9</td><td>12</td><td>⋯</td><td>14</td><td>13</td><td>10</td><td>15</td><td>14</td><td>16</td><td> 6</td><td>12</td><td>17</td><td>13</td></tr>\n",
       "\t<tr><td>Control</td><td> 7</td><td>35</td><td> 7</td><td>10</td><td>12</td><td> 6</td><td> 4</td><td>13</td><td> 7</td><td>⋯</td><td> 3</td><td> 5</td><td> 6</td><td>13</td><td> 7</td><td> 4</td><td> 7</td><td>10</td><td> 4</td><td> 6</td></tr>\n",
       "\t<tr><td>Control</td><td> 8</td><td>34</td><td>12</td><td> 9</td><td>14</td><td>18</td><td>10</td><td>11</td><td> 6</td><td>⋯</td><td> 7</td><td>12</td><td> 9</td><td> 9</td><td>17</td><td> 8</td><td> 5</td><td>11</td><td> 8</td><td>13</td></tr>\n",
       "\t<tr><td>Control</td><td> 9</td><td>34</td><td> 3</td><td> 4</td><td> 9</td><td> 3</td><td> 3</td><td> 5</td><td> 9</td><td>⋯</td><td> 6</td><td> 6</td><td> 9</td><td> 4</td><td> 9</td><td> 2</td><td> 3</td><td> 8</td><td> 3</td><td> 5</td></tr>\n",
       "\t<tr><td>Control</td><td>10</td><td>32</td><td>15</td><td>13</td><td>13</td><td>12</td><td>10</td><td> 9</td><td>15</td><td>⋯</td><td>17</td><td>12</td><td>13</td><td>11</td><td>14</td><td>17</td><td>12</td><td> 9</td><td>15</td><td>13</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A spec\\_tbl\\_df: 10 × 23\n",
       "\\begin{tabular}{lllllllllllllllllllll}\n",
       " condition & centre\\_id & children & 1 & 2 & 3 & 4 & 5 & 6 & 7 & ⋯ & 11 & 12 & 13 & 14 & 15 & 16 & 17 & 18 & 19 & 20\\\\\n",
       " <chr> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & ⋯ & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t Test    &  1 & 37 &  8 &  8 &  7 &  6 &  8 &  9 &  9 & ⋯ & 15 & 13 & 14 & 16 & 14 & 15 & 16 & 13 & 15 & 17\\\\\n",
       "\t Test    &  2 & 35 &  6 &  7 &  3 &  5 &  2 & 11 & 14 & ⋯ & 10 & 14 & 14 & 16 & 12 & 17 & 14 & 10 & 14 & 15\\\\\n",
       "\t Test    &  3 & 35 &  8 &  9 &  8 &  9 &  3 &  5 & 15 & ⋯ & 20 & 18 & 25 & 22 & 27 & 19 & 20 & 23 & 23 & 22\\\\\n",
       "\t Test    &  4 & 34 & 10 &  3 & 14 &  9 &  6 & 24 &  8 & ⋯ & 25 & 18 & 23 & 22 & 24 & 17 & 15 & 23 & 25 & 18\\\\\n",
       "\t Test    &  5 & 33 & 13 & 12 &  9 & 13 & 15 & 10 & 27 & ⋯ & 24 & 32 & 29 & 29 & 26 & 31 & 26 & 35 & 29 & 28\\\\\n",
       "\t Test    &  6 & 28 &  5 &  8 &  7 &  5 &  5 &  9 & 12 & ⋯ & 14 & 13 & 10 & 15 & 14 & 16 &  6 & 12 & 17 & 13\\\\\n",
       "\t Control &  7 & 35 &  7 & 10 & 12 &  6 &  4 & 13 &  7 & ⋯ &  3 &  5 &  6 & 13 &  7 &  4 &  7 & 10 &  4 &  6\\\\\n",
       "\t Control &  8 & 34 & 12 &  9 & 14 & 18 & 10 & 11 &  6 & ⋯ &  7 & 12 &  9 &  9 & 17 &  8 &  5 & 11 &  8 & 13\\\\\n",
       "\t Control &  9 & 34 &  3 &  4 &  9 &  3 &  3 &  5 &  9 & ⋯ &  6 &  6 &  9 &  4 &  9 &  2 &  3 &  8 &  3 &  5\\\\\n",
       "\t Control & 10 & 32 & 15 & 13 & 13 & 12 & 10 &  9 & 15 & ⋯ & 17 & 12 & 13 & 11 & 14 & 17 & 12 &  9 & 15 & 13\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A spec_tbl_df: 10 × 23\n",
       "\n",
       "| condition &lt;chr&gt; | centre_id &lt;dbl&gt; | children &lt;dbl&gt; | 1 &lt;dbl&gt; | 2 &lt;dbl&gt; | 3 &lt;dbl&gt; | 4 &lt;dbl&gt; | 5 &lt;dbl&gt; | 6 &lt;dbl&gt; | 7 &lt;dbl&gt; | ⋯ ⋯ | 11 &lt;dbl&gt; | 12 &lt;dbl&gt; | 13 &lt;dbl&gt; | 14 &lt;dbl&gt; | 15 &lt;dbl&gt; | 16 &lt;dbl&gt; | 17 &lt;dbl&gt; | 18 &lt;dbl&gt; | 19 &lt;dbl&gt; | 20 &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Test    |  1 | 37 |  8 |  8 |  7 |  6 |  8 |  9 |  9 | ⋯ | 15 | 13 | 14 | 16 | 14 | 15 | 16 | 13 | 15 | 17 |\n",
       "| Test    |  2 | 35 |  6 |  7 |  3 |  5 |  2 | 11 | 14 | ⋯ | 10 | 14 | 14 | 16 | 12 | 17 | 14 | 10 | 14 | 15 |\n",
       "| Test    |  3 | 35 |  8 |  9 |  8 |  9 |  3 |  5 | 15 | ⋯ | 20 | 18 | 25 | 22 | 27 | 19 | 20 | 23 | 23 | 22 |\n",
       "| Test    |  4 | 34 | 10 |  3 | 14 |  9 |  6 | 24 |  8 | ⋯ | 25 | 18 | 23 | 22 | 24 | 17 | 15 | 23 | 25 | 18 |\n",
       "| Test    |  5 | 33 | 13 | 12 |  9 | 13 | 15 | 10 | 27 | ⋯ | 24 | 32 | 29 | 29 | 26 | 31 | 26 | 35 | 29 | 28 |\n",
       "| Test    |  6 | 28 |  5 |  8 |  7 |  5 |  5 |  9 | 12 | ⋯ | 14 | 13 | 10 | 15 | 14 | 16 |  6 | 12 | 17 | 13 |\n",
       "| Control |  7 | 35 |  7 | 10 | 12 |  6 |  4 | 13 |  7 | ⋯ |  3 |  5 |  6 | 13 |  7 |  4 |  7 | 10 |  4 |  6 |\n",
       "| Control |  8 | 34 | 12 |  9 | 14 | 18 | 10 | 11 |  6 | ⋯ |  7 | 12 |  9 |  9 | 17 |  8 |  5 | 11 |  8 | 13 |\n",
       "| Control |  9 | 34 |  3 |  4 |  9 |  3 |  3 |  5 |  9 | ⋯ |  6 |  6 |  9 |  4 |  9 |  2 |  3 |  8 |  3 |  5 |\n",
       "| Control | 10 | 32 | 15 | 13 | 13 | 12 | 10 |  9 | 15 | ⋯ | 17 | 12 | 13 | 11 | 14 | 17 | 12 |  9 | 15 | 13 |\n",
       "\n"
      ],
      "text/plain": [
       "   condition centre_id children 1  2  3  4  5  6  7  ⋯ 11 12 13 14 15 16 17 18\n",
       "1  Test       1        37        8  8  7  6  8  9  9 ⋯ 15 13 14 16 14 15 16 13\n",
       "2  Test       2        35        6  7  3  5  2 11 14 ⋯ 10 14 14 16 12 17 14 10\n",
       "3  Test       3        35        8  9  8  9  3  5 15 ⋯ 20 18 25 22 27 19 20 23\n",
       "4  Test       4        34       10  3 14  9  6 24  8 ⋯ 25 18 23 22 24 17 15 23\n",
       "5  Test       5        33       13 12  9 13 15 10 27 ⋯ 24 32 29 29 26 31 26 35\n",
       "6  Test       6        28        5  8  7  5  5  9 12 ⋯ 14 13 10 15 14 16  6 12\n",
       "7  Control    7        35        7 10 12  6  4 13  7 ⋯  3  5  6 13  7  4  7 10\n",
       "8  Control    8        34       12  9 14 18 10 11  6 ⋯  7 12  9  9 17  8  5 11\n",
       "9  Control    9        34        3  4  9  3  3  5  9 ⋯  6  6  9  4  9  2  3  8\n",
       "10 Control   10        32       15 13 13 12 10  9 15 ⋯ 17 12 13 11 14 17 12  9\n",
       "   19 20\n",
       "1  15 17\n",
       "2  14 15\n",
       "3  23 22\n",
       "4  25 18\n",
       "5  29 28\n",
       "6  17 13\n",
       "7   4  6\n",
       "8   8 13\n",
       "9   3  5\n",
       "10 15 13"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_raw"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table class=\"dataframe\">\n",
       "<caption>A tibble: 6 × 8</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>condition</th><th scope=col>centre_id</th><th scope=col>children</th><th scope=col>week</th><th scope=col>late</th><th scope=col>fine</th><th scope=col>after_fine</th><th scope=col>p</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;fct&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;lgl&gt;</th><th scope=col>&lt;dbl&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>Test</td><td>1</td><td>37</td><td>1</td><td>8</td><td>FALSE</td><td>FALSE</td><td>0.04324324</td></tr>\n",
       "\t<tr><td>Test</td><td>1</td><td>37</td><td>2</td><td>8</td><td>FALSE</td><td>FALSE</td><td>0.04324324</td></tr>\n",
       "\t<tr><td>Test</td><td>1</td><td>37</td><td>3</td><td>7</td><td>FALSE</td><td>FALSE</td><td>0.03783784</td></tr>\n",
       "\t<tr><td>Test</td><td>1</td><td>37</td><td>4</td><td>6</td><td>FALSE</td><td>FALSE</td><td>0.03243243</td></tr>\n",
       "\t<tr><td>Test</td><td>1</td><td>37</td><td>5</td><td>8</td><td> TRUE</td><td>FALSE</td><td>0.04324324</td></tr>\n",
       "\t<tr><td>Test</td><td>1</td><td>37</td><td>6</td><td>9</td><td> TRUE</td><td>FALSE</td><td>0.04864865</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 6 × 8\n",
       "\\begin{tabular}{llllllll}\n",
       " condition & centre\\_id & children & week & late & fine & after\\_fine & p\\\\\n",
       " <chr> & <fct> & <dbl> & <int> & <dbl> & <lgl> & <lgl> & <dbl>\\\\\n",
       "\\hline\n",
       "\t Test & 1 & 37 & 1 & 8 & FALSE & FALSE & 0.04324324\\\\\n",
       "\t Test & 1 & 37 & 2 & 8 & FALSE & FALSE & 0.04324324\\\\\n",
       "\t Test & 1 & 37 & 3 & 7 & FALSE & FALSE & 0.03783784\\\\\n",
       "\t Test & 1 & 37 & 4 & 6 & FALSE & FALSE & 0.03243243\\\\\n",
       "\t Test & 1 & 37 & 5 & 8 &  TRUE & FALSE & 0.04324324\\\\\n",
       "\t Test & 1 & 37 & 6 & 9 &  TRUE & FALSE & 0.04864865\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 6 × 8\n",
       "\n",
       "| condition &lt;chr&gt; | centre_id &lt;fct&gt; | children &lt;dbl&gt; | week &lt;int&gt; | late &lt;dbl&gt; | fine &lt;lgl&gt; | after_fine &lt;lgl&gt; | p &lt;dbl&gt; |\n",
       "|---|---|---|---|---|---|---|---|\n",
       "| Test | 1 | 37 | 1 | 8 | FALSE | FALSE | 0.04324324 |\n",
       "| Test | 1 | 37 | 2 | 8 | FALSE | FALSE | 0.04324324 |\n",
       "| Test | 1 | 37 | 3 | 7 | FALSE | FALSE | 0.03783784 |\n",
       "| Test | 1 | 37 | 4 | 6 | FALSE | FALSE | 0.03243243 |\n",
       "| Test | 1 | 37 | 5 | 8 |  TRUE | FALSE | 0.04324324 |\n",
       "| Test | 1 | 37 | 6 | 9 |  TRUE | FALSE | 0.04864865 |\n",
       "\n"
      ],
      "text/plain": [
       "  condition centre_id children week late fine  after_fine p         \n",
       "1 Test      1         37       1    8    FALSE FALSE      0.04324324\n",
       "2 Test      1         37       2    8    FALSE FALSE      0.04324324\n",
       "3 Test      1         37       3    7    FALSE FALSE      0.03783784\n",
       "4 Test      1         37       4    6    FALSE FALSE      0.03243243\n",
       "5 Test      1         37       5    8     TRUE FALSE      0.04324324\n",
       "6 Test      1         37       6    9     TRUE FALSE      0.04864865"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df <- df_raw %>%\n",
    "pivot_longer(\"1\":\"20\", names_to=\"week\", values_to=\"late\") %>%\n",
    "mutate(centre_id = as.factor(centre_id),\n",
    "       week = as.integer(week),\n",
    "       fine = (condition == 'Test') & (week >= 5) & (week <= 16),\n",
    "       after_fine = (condition == 'Test') & (week >= 17),\n",
    "       p = late / (children * 5) # Assume all children have 5 days of care; not clear in article\n",
    "      )\n",
    "\n",
    "df %>% head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visually the results are quite clear - it often takes a week or two to see any impact, but then the uplift on centres that impose a fine is dramatic, and the after the fine is removed the condition continues."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACHAAAAWgCAIAAACzR7HRAAAACXBIWXMAABJ0AAASdAHeZh94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\nSUVORK5CYII=",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 720,
       "width": 1080
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df %>% \n",
    "gf_line(late ~ week | centre_id, col=~fine, group=~centre_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Linear Modelling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "linear_fit <- stan_glm(late ~ centre_id + as.factor(week) + fine + after_fine, data=df, refresh=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The centres have quite different numbers of children-absent days; as you would expect.\n",
    "It's not immedately obvious whether the test and experimental group are distinguishable.\n",
    "\n",
    "The weeks 5, 6 and 17 appear to have a lower numbers of children absences.\n",
    "\n",
    "However the largest factors are, by far, whether a fine was imposed.\n",
    "After taking into account all the other factors the fine increases the number of late pickups by 9 per week (s.d. 1) and after the fine it's 12 per week.\n",
    "\n",
    "Given that the average befor intervention was between 3 and 15 this is a very significant increase.\n",
    "\n",
    "Note that we're using 31 parameters on 200 data points, so there is serious risk of overfitting here."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "stan_glm\n",
      " family:       gaussian [identity]\n",
      " formula:      late ~ centre_id + as.factor(week) + fine + after_fine\n",
      " observations: 200\n",
      " predictors:   31\n",
      "------\n",
      "                  Median MAD_SD\n",
      "(Intercept)        4.7    1.5  \n",
      "centre_id2        -1.0    1.2  \n",
      "centre_id3         4.2    1.2  \n",
      "centre_id4         5.3    1.3  \n",
      "centre_id5        11.0    1.2  \n",
      "centre_id6        -0.5    1.2  \n",
      "centre_id7         3.3    1.6  \n",
      "centre_id8         6.9    1.6  \n",
      "centre_id9         1.1    1.6  \n",
      "centre_id10        8.8    1.6  \n",
      "as.factor(week)2  -0.3    1.7  \n",
      "as.factor(week)3   1.0    1.7  \n",
      "as.factor(week)4   0.0    1.7  \n",
      "as.factor(week)5  -7.5    1.9  \n",
      "as.factor(week)6  -3.4    1.9  \n",
      "as.factor(week)7  -1.8    1.9  \n",
      "as.factor(week)8   0.6    1.9  \n",
      "as.factor(week)9   1.7    1.9  \n",
      "as.factor(week)10 -1.3    1.9  \n",
      "as.factor(week)11  0.1    2.0  \n",
      "as.factor(week)12  0.3    1.9  \n",
      "as.factor(week)13  1.2    1.9  \n",
      "as.factor(week)14  1.7    1.9  \n",
      "as.factor(week)15  2.4    1.9  \n",
      "as.factor(week)16  0.6    1.9  \n",
      "as.factor(week)17 -3.6    2.0  \n",
      "as.factor(week)18 -0.6    2.0  \n",
      "as.factor(week)19 -0.6    2.0  \n",
      "as.factor(week)20 -1.0    1.9  \n",
      "fineTRUE           9.1    1.4  \n",
      "after_fineTRUE    12.3    1.7  \n",
      "\n",
      "Auxiliary parameter(s):\n",
      "      Median MAD_SD\n",
      "sigma 3.8    0.2   \n",
      "\n",
      "------\n",
      "* For help interpreting the printed output see ?print.stanreg\n",
      "* For info on the priors used see ?prior_summary.stanreg\n"
     ]
    }
   ],
   "source": [
    "print(linear_fit)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\n",
       "Computed from 4000 by 200 log-likelihood matrix\n",
       "\n",
       "         Estimate   SE\n",
       "elpd_loo   -569.2 12.6\n",
       "p_loo        30.4  3.6\n",
       "looic      1138.3 25.1\n",
       "------\n",
       "Monte Carlo SE of elpd_loo is 0.2.\n",
       "\n",
       "Pareto k diagnostic values:\n",
       "                         Count Pct.    Min. n_eff\n",
       "(-Inf, 0.5]   (good)     196   98.0%   418       \n",
       " (0.5, 0.7]   (ok)         4    2.0%   104       \n",
       "   (0.7, 1]   (bad)        0    0.0%   <NA>      \n",
       "   (1, Inf)   (very bad)   0    0.0%   <NA>      \n",
       "\n",
       "All Pareto k estimates are ok (k < 0.7).\n",
       "See help('pareto-k-diagnostic') for details."
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "loo_linear <- loo(linear_fit)\n",
    "loo_linear"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The residuals look a little larger at high values than at low - I suspect a logarithmic or proportional model would do better."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACHAAAAWgCAMAAAAL+9a0AAADAFBMVEUAAAABAQECAgIDAwME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\nAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 720,
       "width": 1080
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df %>%\n",
    "modelr::add_predictions(linear_fit) %>%\n",
    "mutate(resid = pred - late) %>%\n",
    "gf_point(resid ~ pred)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The fits look pretty good, but we can see especially in centres 3, 4, 5 and 6 the initial fit is a little loose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAACHAAAAWgCAMAAAAL+9a0AAADAFBMVEUAAAABAQECAgIDAwME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\nIHIEBwAAiNz/AYcJ0TX0jPcoAAAAAElFTkSuQmCC",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 720,
       "width": 1080
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df %>% \n",
    "modelr::add_predictions(linear_fit) %>%\n",
    "gf_point(late ~ week | centre_id) %>%\n",
    "gf_line(pred ~ week | centre_id)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding interactions\n",
    "\n",
    "Visually it appears there's a couple of weeks for the effect to burn in.\n",
    "Let's see if we can capture this with an interaction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message in center_x(x, sparse):\n",
      "“Dropped empty interaction levels: as.factor(week)2:fineTRUE, as.factor(week)3:fineTRUE, as.factor(week)4:fineTRUE, as.factor(week)17:fineTRUE, as.factor(week)18:fineTRUE, as.factor(week)19:fineTRUE, as.factor(week)20:fineTRUE”\n",
      "Warning message:\n",
      "“There were 8 divergent transitions after warmup. See\n",
      "http://mc-stan.org/misc/warnings.html#divergent-transitions-after-warmup\n",
      "to find out why this is a problem and how to eliminate them.”\n",
      "Warning message:\n",
      "“There were 1000 transitions after warmup that exceeded the maximum treedepth. Increase max_treedepth above 15. See\n",
      "http://mc-stan.org/misc/warnings.html#maximum-treedepth-exceeded”\n",
      "Warning message:\n",
      "“There were 3 chains where the estimated Bayesian Fraction of Missing Information was low. See\n",
      "http://mc-stan.org/misc/warnings.html#bfmi-low”\n",
      "Warning message:\n",
      "“Examine the pairs() plot to diagnose sampling problems\n",
      "”\n",
      "Warning message:\n",
      "“The largest R-hat is 5.75, indicating chains have not mixed.\n",
      "Running the chains for more iterations may help. See\n",
      "http://mc-stan.org/misc/warnings.html#r-hat”\n",
      "Warning message:\n",
      "“Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable.\n",
      "Running the chains for more iterations may help. See\n",
      "http://mc-stan.org/misc/warnings.html#bulk-ess”\n",
      "Warning message:\n",
      "“Tail Effective Samples Size (ESS) is too low, indicating posterior variances and tail quantiles may be unreliable.\n",
      "Running the chains for more iterations may help. See\n",
      "http://mc-stan.org/misc/warnings.html#tail-ess”\n",
      "Warning message:\n",
      "“Markov chains did not converge! Do not analyze results!”\n"
     ]
    }
   ],
   "source": [
    "linear_interact_fit <- stan_glm(late ~ centre_id + as.factor(week) * fine + after_fine, data=df, refresh=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "stan_glm\n",
       " family:       gaussian [identity]\n",
       " formula:      late ~ centre_id + as.factor(week) * fine + after_fine\n",
       " observations: 200\n",
       " predictors:   43\n",
       "------\n",
       "                           Median MAD_SD\n",
       "(Intercept)                 -25.2   27.0\n",
       "centre_id2                  -20.5   14.9\n",
       "centre_id3                  -31.8   62.3\n",
       "centre_id4                   15.3   36.1\n",
       "centre_id5                  -26.8   29.8\n",
       "centre_id6                   37.4   39.3\n",
       "centre_id7                  -28.1   98.4\n",
       "centre_id8                  -29.9   19.4\n",
       "centre_id9                   61.1   23.3\n",
       "centre_id10                  40.6   30.7\n",
       "as.factor(week)2             72.2   81.7\n",
       "as.factor(week)3             14.2   86.2\n",
       "as.factor(week)4             29.7   40.6\n",
       "as.factor(week)5            -65.5   25.1\n",
       "as.factor(week)6             20.6    3.2\n",
       "as.factor(week)7            -24.3  129.5\n",
       "as.factor(week)8             30.3   90.4\n",
       "as.factor(week)9             73.4   84.4\n",
       "as.factor(week)10           -95.9   74.5\n",
       "as.factor(week)11            95.1   58.2\n",
       "as.factor(week)12            44.0   71.6\n",
       "as.factor(week)13            63.1   66.2\n",
       "as.factor(week)14           -36.1   71.8\n",
       "as.factor(week)15           -26.6   58.5\n",
       "as.factor(week)16            28.4   89.3\n",
       "as.factor(week)17            74.7   86.2\n",
       "as.factor(week)18            61.4   60.9\n",
       "as.factor(week)19            25.6   55.9\n",
       "as.factor(week)20           115.4    9.9\n",
       "fineTRUE                     -6.7   33.9\n",
       "after_fineTRUE               -7.3   75.7\n",
       "as.factor(week)5:fineTRUE   -66.7   97.9\n",
       "as.factor(week)6:fineTRUE   -24.1  117.6\n",
       "as.factor(week)7:fineTRUE    89.7   24.8\n",
       "as.factor(week)8:fineTRUE     6.6  153.9\n",
       "as.factor(week)9:fineTRUE   112.6   22.7\n",
       "as.factor(week)10:fineTRUE   89.1   84.6\n",
       "as.factor(week)11:fineTRUE  -66.6  128.2\n",
       "as.factor(week)12:fineTRUE -109.9   45.4\n",
       "as.factor(week)13:fineTRUE  -19.0   59.5\n",
       "as.factor(week)14:fineTRUE  -62.9   86.1\n",
       "as.factor(week)15:fineTRUE  -46.2   89.5\n",
       "as.factor(week)16:fineTRUE -133.9   52.9\n",
       "\n",
       "Auxiliary parameter(s):\n",
       "      Median MAD_SD\n",
       "sigma 12.9   11.4  \n",
       "\n",
       "------\n",
       "* For help interpreting the printed output see ?print.stanreg\n",
       "* For info on the priors used see ?prior_summary.stanreg"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "linear_interact_fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.2"
      ],
      "text/latex": [
       "0.2"
      ],
      "text/markdown": [
       "0.2"
      ],
      "text/plain": [
       "[1] 0.2"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "1-.8"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "2.80158521811297"
      ],
      "text/latex": [
       "2.80158521811297"
      ],
      "text/markdown": [
       "2.80158521811297"
      ],
      "text/plain": [
       "[1] 2.801585"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "qnorm(1-(1-0.95)/2) + qnorm(1-(1-0.80))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "0.841621233572914"
      ],
      "text/latex": [
       "0.841621233572914"
      ],
      "text/markdown": [
       "0.841621233572914"
      ],
      "text/plain": [
       "[1] 0.8416212"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": []
  }
 ],
 "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": "3.6.3"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}