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<!DOCTYPE html>
<html lang="" xml:lang="">
<head>
<title>xaringan-slides-example.utf8.md</title>
<meta charset="utf-8" />
<link href="libs/remark-css/default.css" rel="stylesheet" />
<link href="libs/remark-css/default-fonts.css" rel="stylesheet" />
</head>
<body>
<textarea id="source">
<style type="text/css">
.remark-slide-content {
padding-top: 10px;
padding-left: 10px;
padding-right: 10px;
padding-bottom: 10px;
}
.remark-code, .remark-inline-code { font-family: 'Source Code Pro', 'Lucida Console', Monaco, monospace;
font-size: 60%;
}
</style>
.pull-left[
```r
gapminder
```
]
.pull-right[
```
## # A tibble: 1,704 x 6
## country continent year lifeExp pop gdpPercap
## <fct> <fct> <int> <dbl> <int> <dbl>
## 1 Afghanistan Asia 1952 28.8 8425333 779.
## 2 Afghanistan Asia 1957 30.3 9240934 821.
## 3 Afghanistan Asia 1962 32.0 10267083 853.
## 4 Afghanistan Asia 1967 34.0 11537966 836.
## 5 Afghanistan Asia 1972 36.1 13079460 740.
## 6 Afghanistan Asia 1977 38.4 14880372 786.
## 7 Afghanistan Asia 1982 39.9 12881816 978.
## 8 Afghanistan Asia 1987 40.8 13867957 852.
## 9 Afghanistan Asia 1992 41.7 16317921 649.
## 10 Afghanistan Asia 1997 41.8 22227415 635.
## # ... with 1,694 more rows
```
]
---
.pull-left[
<code class ='r hljs remark-code'>gapminder %>% <br>&nbsp;&nbsp;<span style='background-color:#ffff7f'>group_by</span>(country, continent) %>% <br>&nbsp;&nbsp;<span style='background-color:#ffff7f'>nest</span>()</code>
]
.pull-right[
```
## # A tibble: 142 x 3
## # Groups: country, continent [710]
## country continent data
## <fct> <fct> <list>
## 1 Afghanistan Asia <tibble [12 x 4]>
## 2 Albania Europe <tibble [12 x 4]>
## 3 Algeria Africa <tibble [12 x 4]>
## 4 Angola Africa <tibble [12 x 4]>
## 5 Argentina Americas <tibble [12 x 4]>
## 6 Australia Oceania <tibble [12 x 4]>
## 7 Austria Europe <tibble [12 x 4]>
## 8 Bahrain Asia <tibble [12 x 4]>
## 9 Bangladesh Asia <tibble [12 x 4]>
## 10 Belgium Europe <tibble [12 x 4]>
## # ... with 132 more rows
```
]
---
.pull-left[
<code class ='r hljs remark-code'>gapminder %>% <br>&nbsp;&nbsp;group_by(country, continent) %>% <br>&nbsp;&nbsp;nest() %>% <br>&nbsp;&nbsp;<span style='background-color:#ffff7f'>mutate</span>(model = map(data, <br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;~lm(lifeExp ~ year, data = .x)),<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;results = map(model, broom::glance))</code>
]
.pull-right[
```
## # A tibble: 142 x 5
## # Groups: country, continent [710]
## country continent data model results
## <fct> <fct> <list> <list> <list>
## 1 Afghanistan Asia <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 2 Albania Europe <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 3 Algeria Africa <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 4 Angola Africa <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 5 Argentina Americas <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 6 Australia Oceania <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 7 Austria Europe <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 8 Bahrain Asia <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 9 Bangladesh Asia <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## 10 Belgium Europe <tibble [12 x 4]> <lm> <tibble [1 x 11]>
## # ... with 132 more rows
```
]
---
.pull-left[
<code class ='r hljs remark-code'>gapminder %>% <br>&nbsp;&nbsp;group_by(country, continent) %>% <br>&nbsp;&nbsp;nest() %>% <br>&nbsp;&nbsp;mutate(model = map(data, <br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;~lm(lifeExp ~ year, data = .x)),<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;results = map(model, broom::glance)) %>% <br>&nbsp;&nbsp;<span style='background-color:#ffff7f'>unnest</span>(results)</code>
]
.pull-right[
```
## # A tibble: 142 x 15
## # Groups: country, continent [710]
## country continent data model r.squared adj.r.squared sigma statistic
## <fct> <fct> <lis> <lis> <dbl> <dbl> <dbl> <dbl>
## 1 Afghan~ Asia <tib~ <lm> 0.948 0.942 1.22 181.
## 2 Albania Europe <tib~ <lm> 0.911 0.902 1.98 102.
## 3 Algeria Africa <tib~ <lm> 0.985 0.984 1.32 662.
## 4 Angola Africa <tib~ <lm> 0.888 0.877 1.41 79.1
## 5 Argent~ Americas <tib~ <lm> 0.996 0.995 0.292 2246.
## 6 Austra~ Oceania <tib~ <lm> 0.980 0.978 0.621 481.
## 7 Austria Europe <tib~ <lm> 0.992 0.991 0.407 1261.
## 8 Bahrain Asia <tib~ <lm> 0.967 0.963 1.64 291.
## 9 Bangla~ Asia <tib~ <lm> 0.989 0.988 0.977 930.
## 10 Belgium Europe <tib~ <lm> 0.995 0.994 0.293 1822.
## # ... with 132 more rows, and 7 more variables: p.value <dbl>, df <int>,
## # logLik <dbl>, AIC <dbl>, BIC <dbl>, deviance <dbl>, df.residual <int>
```
]
---
.pull-left[
<code class ='r hljs remark-code'>gapminder %>% <br>&nbsp;&nbsp;group_by(country, continent) %>% <br>&nbsp;&nbsp;nest() %>% <br>&nbsp;&nbsp;mutate(model = map(data, <br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;~lm(lifeExp ~ year, data = .x)),<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;results = map(model, broom::glance)) %>% <br>&nbsp;&nbsp;unnest(results) %>% <br>&nbsp;&nbsp;<span style='background-color:#ffff7f'>ggplot</span>(aes(x = continent, y = r.squared)) +<br>&nbsp;&nbsp;<span style='background-color:#ffff7f'>ggbeeswarm::geom_quasirandom</span>()</code>
]
.pull-right[
<!-- -->
]
</textarea>
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