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added code to compare models

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---
title: "Testing SAVE SDRC v2.1 Data"
subtitle: ""
author: "Ben Anderson (University of Otago)"
date: 'Last run at: `r Sys.time()`'
output:
bookdown::html_document2:
code_folding: hide
fig_caption: yes
number_sections: yes
self_contained: no
toc: yes
toc_depth: 3
toc_float: yes
bibliography: '`r path.expand("~/bibliography.bib")`'
---
```{r setup, include=FALSE}
# change default
knitr::opts_chunk$set(echo = TRUE)
# Log compile time:
startTime <- proc.time()
library(spatialec)
myPackages <- c(
"data.table", # data munching
"foreign", # loading STATA
"here", # easy path management - https://speakerdeck.com/jennybc/zen-and-the-art-of-workflow-maintenance?slide=49
"lubridate" # date time functions
)
spatialec::loadLibraries(myPackages)
projRoot <- here::here()
iPath <- "/Users/ben/University of Southampton/SAVE - Documents/WP2-Customer-Model/SDRC-v2.1/sim/data/input/"
oPath <- "/Users/ben/University of Southampton/SAVE - Documents/WP2-Customer-Model/SDRC-v2.1/sim/data/output/"
tuPath <- "/Users/ben/Data/UK_TU_2000/processed/"
```
# Report Purpose
Test SAVE SDRC v2.1 data (input & output)
# Input
## ONS TU 2000 data files
Check diary:
```{r checkTUdiary}
onsTU2000f <- paste0(tuPath,"diary_data_8_long_v1.0.dta")
df <- foreign::read.dta(onsTU2000f)
dt <- data.table::as.data.table(df)
message("N individuals: ", uniqueN(dt$serial))
message("Months covered: ")
dt[, month := lubridate::month(s_datetime)]
dt[, .(nRespondents = uniqueN(serial)), keyby = .(month)]
```
Check constraints file:
```{r checkTUcons}
onsTU2000f <- paste0(tuPath,"ONS-2000-TU-simfile_hh_constraints_v3.2.dta")
df <- foreign::read.dta(onsTU2000f)
dt <- data.table::as.data.table(df)
print(table(dt$c_nearners, dt$region, useNA = "always"))
message("N households: ", uniqueN(dt$hhidn))
```
## Sim input files
```{r simInput}
ifiles <- c("ONS-TU-wtdh_ug-2000-v3m1-siminput.txt",
"ONS_TU_wtdh_ug_2000_weekdays_winter_v3m1_siminput.txt",
"ONS_TU_wtdh_ug_2000_weekends_winter_v3m1_siminput.txt",
"ONS_TU_wtdh_ug_2000_weekdays_summer_v3m1_siminput.txt",
"ONS_TU_wtdh_ug_2000_weekends_summer_v3m1_siminput.txt")
for(f in ifiles){
message("Testing: ", f)
dt <- data.table::fread(paste0(iPath, f))
names(dt)
uniqueN(dt$hhid_numeric)
uniqueN(dt$region)
message("Regional totals: ", f)
t <- addmargins(table(dt$wmm_const_gender,dt$region))
print(t)
}
```
# Output
Just survey data as output:
```{r simOutput}
ofiles <- c("ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_simoutput.txt")
for(f in ofiles){
message("Testing: ", f)
dt <- data.table::fread(paste0(oPath, f))
message("N zones: ", uniqueN(dt$V1)) # <- actually zonecode
message("Mean n hhs: ", mean(dt$Num_hh))
message("Min n hhs: ", min(dt$Num_hh))
message("Max n hhs: ", max(dt$Num_hh))
}
```
With TU data results:
```{r simOutputTU}
# with TU data & weights
ofiles <- c("ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_winter_simoutput-simoutput-v3m1.csv.gz")
for(f in ofiles){
message("Testing: ", f)
dt <- data.table::fread(paste0(oPath, f))
message("N zones: ", uniqueN(dt$zonecode)) # <- actually zonecode
message("N regions:")
print(table(dt$region))
message("N households: ", uniqueN(dt$hh_id))
message("Mean weight: ", mean(dt$weight))
message("Min weight: ", min(dt$weight))
message("Max weight: ", max(dt$weight))
}
```
Weights files:
```{r simOutputWts}
# weights
wfiles <- c("ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_winter_simoutput_weights.dta",
"ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_summer_simoutput_weights.dta")
for(f in wfiles){
message("Testing: ", f)
wf <- paste0(oPath,f)
df <- foreign::read.dta(wf)
dt <- data.table::as.data.table(df)
message("N households: ", uniqueN(dt$hh_id))
message("Mean weight: ", mean(dt$weight))
message("Min weight: ", min(dt$weight))
message("Max weight: ", max(dt$weight))
}
```
# References
\ No newline at end of file
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<h1 class="title toc-ignore">Testing SAVE SDRC v2.1 Data</h1>
<h4 class="author">Ben Anderson (University of Otago)</h4>
<h4 class="date">Last run at: 2019-06-18 08:52:43</h4>
</div>
<div id="report-purpose" class="section level1">
<h1><span class="header-section-number">1</span> Report Purpose</h1>
<p>Test SAVE SDRC v2.1 data (input &amp; output)</p>
</div>
<div id="input" class="section level1">
<h1><span class="header-section-number">2</span> Input</h1>
<div id="ons-tu-2000-data-files" class="section level2">
<h2><span class="header-section-number">2.1</span> ONS TU 2000 data files</h2>
<p>Check diary:</p>
<pre class="r"><code>onsTU2000f &lt;- paste0(tuPath,&quot;diary_data_8_long_v1.0.dta&quot;)
df &lt;- foreign::read.dta(onsTU2000f)
dt &lt;- data.table::as.data.table(df)
message(&quot;N individuals: &quot;, uniqueN(dt$serial))</code></pre>
<pre><code>## N individuals: 20981</code></pre>
<pre class="r"><code>message(&quot;Months covered: &quot;)</code></pre>
<pre><code>## Months covered:</code></pre>
<pre class="r"><code>dt[, month := lubridate::month(s_datetime)]
dt[, .(nRespondents = uniqueN(serial)), keyby = .(month)]</code></pre>
<pre><code>## month nRespondents
## 1: 1 1482
## 2: 2 1847
## 3: 3 1351
## 4: 4 1572
## 5: 5 2143
## 6: 6 1855
## 7: 7 2516
## 8: 8 2507
## 9: 9 2143
## 10: 10 1483
## 11: 11 1628
## 12: 12 1033</code></pre>
<p>Check constraints file:</p>
<pre class="r"><code>onsTU2000f &lt;- paste0(tuPath,&quot;ONS-2000-TU-simfile_hh_constraints_v3.2.dta&quot;)
df &lt;- foreign::read.dta(onsTU2000f)
dt &lt;- data.table::as.data.table(df)
print(table(dt$c_nearners, dt$region, useNA = &quot;always&quot;))</code></pre>
<pre><code>##
## NE NW Y&amp;H EM WM EoE L SE SW Wa Sc NI &lt;NA&gt;
## 0 110 221 185 158 169 174 141 216 186 126 226 38 3
## 1 88 187 171 176 133 167 197 212 174 95 155 30 6
## 2 54 161 123 150 109 169 94 220 165 65 150 38 2
## 3 7 40 49 27 27 37 23 53 34 15 34 9 3
## &lt;NA&gt; 38 105 71 78 58 44 115 91 63 58 53 31 0</code></pre>
<pre class="r"><code>message(&quot;N households: &quot;, uniqueN(dt$hhidn))</code></pre>
<pre><code>## N households: 6407</code></pre>
</div>
<div id="sim-input-files" class="section level2">
<h2><span class="header-section-number">2.2</span> Sim input files</h2>
<pre class="r"><code>ifiles &lt;- c(&quot;ONS-TU-wtdh_ug-2000-v3m1-siminput.txt&quot;,
&quot;ONS_TU_wtdh_ug_2000_weekdays_winter_v3m1_siminput.txt&quot;,
&quot;ONS_TU_wtdh_ug_2000_weekends_winter_v3m1_siminput.txt&quot;,
&quot;ONS_TU_wtdh_ug_2000_weekdays_summer_v3m1_siminput.txt&quot;,
&quot;ONS_TU_wtdh_ug_2000_weekends_summer_v3m1_siminput.txt&quot;)
for(f in ifiles){
message(&quot;Testing: &quot;, f)
dt &lt;- data.table::fread(paste0(iPath, f))
names(dt)
uniqueN(dt$hhid_numeric)
uniqueN(dt$region)
message(&quot;Regional totals: &quot;, f)
t &lt;- addmargins(table(dt$wmm_const_gender,dt$region))
print(t)
}</code></pre>
<pre><code>## Testing: ONS-TU-wtdh_ug-2000-v3m1-siminput.txt</code></pre>
<pre><code>## Regional totals: ONS-TU-wtdh_ug-2000-v3m1-siminput.txt</code></pre>
<pre><code>##
## 1 2 3 4 5 6 7 8 9 10 11 12 Sum
## 0 34 66 66 65 56 45 59 106 103 41 81 31 753
## 1 24 43 52 36 36 26 46 57 61 14 64 13 472
## Sum 58 109 118 101 92 71 105 163 164 55 145 44 1225</code></pre>
<pre><code>## Testing: ONS_TU_wtdh_ug_2000_weekdays_winter_v3m1_siminput.txt</code></pre>
<pre><code>## Regional totals: ONS_TU_wtdh_ug_2000_weekdays_winter_v3m1_siminput.txt</code></pre>
<pre><code>##
## 1 2 3 4 5 6 7 8 9 10 11 12 Sum
## 0 34 66 66 65 56 45 59 106 103 41 81 31 753
## 1 24 43 52 36 36 26 46 57 61 14 64 13 472
## Sum 58 109 118 101 92 71 105 163 164 55 145 44 1225</code></pre>
<pre><code>## Testing: ONS_TU_wtdh_ug_2000_weekends_winter_v3m1_siminput.txt</code></pre>
<pre><code>## Regional totals: ONS_TU_wtdh_ug_2000_weekends_winter_v3m1_siminput.txt</code></pre>
<pre><code>##
## 1 2 3 4 5 6 7 8 9 10 11 12 Sum
## 0 34 66 64 66 56 44 55 103 103 42 82 32 747
## 1 24 42 51 37 35 25 44 60 61 14 65 13 471
## Sum 58 108 115 103 91 69 99 163 164 56 147 45 1218</code></pre>
<pre><code>## Testing: ONS_TU_wtdh_ug_2000_weekdays_summer_v3m1_siminput.txt</code></pre>
<pre><code>## Regional totals: ONS_TU_wtdh_ug_2000_weekdays_summer_v3m1_siminput.txt</code></pre>
<pre><code>##
## 1 2 3 4 5 6 7 8 9 10 11 12 Sum
## 0 27 122 86 112 48 117 62 140 78 38 114 4 948
## 1 42 59 45 51 30 51 50 60 42 29 55 2 516
## Sum 69 181 131 163 78 168 112 200 120 67 169 6 1464</code></pre>
<pre><code>## Testing: ONS_TU_wtdh_ug_2000_weekends_summer_v3m1_siminput.txt</code></pre>
<pre><code>## Regional totals: ONS_TU_wtdh_ug_2000_weekends_summer_v3m1_siminput.txt</code></pre>
<pre><code>##
## 1 2 3 4 5 6 7 8 9 10 11 12 Sum
## 0 27 118 87 112 50 118 60 141 82 37 113 4 949
## 1 43 57 43 53 33 51 50 57 42 30 57 2 518
## Sum 70 175 130 165 83 169 110 198 124 67 170 6 1467</code></pre>
</div>
</div>
<div id="output" class="section level1">
<h1><span class="header-section-number">3</span> Output</h1>
<p>Just survey data as output:</p>
<pre class="r"><code>ofiles &lt;- c(&quot;ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_simoutput.txt&quot;)
for(f in ofiles){
message(&quot;Testing: &quot;, f)
dt &lt;- data.table::fread(paste0(oPath, f))
message(&quot;N zones: &quot;, uniqueN(dt$V1)) # &lt;- actually zonecode
message(&quot;Mean n hhs: &quot;, mean(dt$Num_hh))
message(&quot;Min n hhs: &quot;, min(dt$Num_hh))
message(&quot;Max n hhs: &quot;, max(dt$Num_hh))
}</code></pre>
<pre><code>## Testing: ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_simoutput.txt</code></pre>
<pre><code>## Warning in data.table::fread(paste0(oPath, f)): Detected 54 column names
## but the data has 55 columns (i.e. invalid file). Added 1 extra default
## column name for the first column which is guessed to be row names or an
## index. Use setnames() afterwards if this guess is not correct, or fix the
## file write command that created the file to create a valid file.</code></pre>
<pre><code>## N zones: 146</code></pre>
<pre><code>## Mean n hhs: 712.616095890411</code></pre>
<pre><code>## Min n hhs: 389.88</code></pre>
<pre><code>## Max n hhs: 1044.51</code></pre>
<p>With TU data results:</p>
<pre class="r"><code># with TU data &amp; weights
ofiles &lt;- c(&quot;ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_winter_simoutput-simoutput-v3m1.csv.gz&quot;)
for(f in ofiles){
message(&quot;Testing: &quot;, f)
dt &lt;- data.table::fread(paste0(oPath, f))
message(&quot;N zones: &quot;, uniqueN(dt$zonecode)) # &lt;- actually zonecode
message(&quot;N regions:&quot;)
print(table(dt$region))
message(&quot;N households: &quot;, uniqueN(dt$hh_id))
message(&quot;Mean weight: &quot;, mean(dt$weight))
message(&quot;Min weight: &quot;, min(dt$weight))
message(&quot;Max weight: &quot;, max(dt$weight))
}</code></pre>
<pre><code>## Testing: ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_winter_simoutput-simoutput-v3m1.csv.gz</code></pre>
<pre><code>## N zones: 146</code></pre>
<pre><code>## N regions:</code></pre>
<pre><code>##
## SE
## 788208</code></pre>
<pre><code>## N households: 162</code></pre>
<pre><code>## Mean weight: 5.35157420376347</code></pre>
<pre><code>## Min weight: 0.01</code></pre>
<pre><code>## Max weight: 196.9</code></pre>
<p>Weights files:</p>
<pre class="r"><code># weights
wfiles &lt;- c(&quot;ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_winter_simoutput_weights.dta&quot;,
&quot;ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_summer_simoutput_weights.dta&quot;)
for(f in wfiles){
message(&quot;Testing: &quot;, f)
wf &lt;- paste0(oPath,f)
df &lt;- foreign::read.dta(wf)
dt &lt;- data.table::as.data.table(df)
message(&quot;N households: &quot;, uniqueN(dt$hh_id))
message(&quot;Mean weight: &quot;, mean(dt$weight))
message(&quot;Min weight: &quot;, min(dt$weight))
message(&quot;Max weight: &quot;, max(dt$weight))
}</code></pre>
<pre><code>## Testing: ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_winter_simoutput_weights.dta</code></pre>
<pre><code>## N households: 162</code></pre>
<pre><code>## Mean weight: 5.35157420795866</code></pre>
<pre><code>## Min weight: 0.00999999977648258</code></pre>
<pre><code>## Max weight: 196.899993896484</code></pre>
<pre><code>## Testing: ONS-TU-2000-Census-2001-wtdh_ug-Southampton-v3m1_weekdays_summer_simoutput_weights.dta</code></pre>
<pre><code>## N households: 197</code></pre>
<pre><code>## Mean weight: 4.56054300435325</code></pre>
<pre><code>## Min weight: 0.00999999977648258</code></pre>
<pre><code>## Max weight: 180.869995117188</code></pre>
</div>
<div id="references" class="section level1">
<h1><span class="header-section-number">4</span> References</h1>
</div>
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analysis/SAVE model/testSAVEData_files/bootstrap-3.3.5/css/cosmo.min.css 0 → 100644
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analysis/SAVE model/testSAVEData_files/bootstrap-3.3.5/css/darkly.min.css 0 → 100644
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analysis/SAVE model/testSAVEData_files/bootstrap-3.3.5/css/flatly.min.css 0 → 100644
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analysis/SAVE model/testSAVEData_files/bootstrap-3.3.5/css/fonts/Lato.ttf 0 → 100644
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analysis/SAVE model/testSAVEData_files/bootstrap-3.3.5/css/fonts/LatoItalic.ttf 0 → 100644
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analysis/SAVE model/testSAVEData_files/bootstrap-3.3.5/css/fonts/NewsCycle.ttf 0 → 100644
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analysis/SAVE model/testSAVEData_files/bootstrap-3.3.5/css/fonts/OpenSans.ttf 0 → 100644
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analysis/SAVE model/testSAVEData_files/bootstrap-3.3.5/css/fonts/OpenSansBoldItalic.ttf 0 → 100644
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