March 2018
Intermediate to advanced
528 pages
13h 2m
Portuguese (Portugal, Brazil)
Content preview from R para Data Science
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412 | Capítulo 20: Muitos Modelos compurrr e broom
#> 4 Angola Africa <tibble [12 × 4]>
#> 5 Argentina Americas <tibble [12 × 4]>
#> 6 Australia Oceania <tibble [12 × 4]>
#> # ... with 136 more rows
Você também pode usá-la em um data frame desagrupado, especificando quais colunas
você quer aninhar:
gapminder %>%
nest( year:gdpPercap )
#> # A tibble: 142 ×
3
#> country continent data
#> <fctr> <fctr> <list>
#> 1 Afghanistan Asia <tibble [12 × 4]>
#> 2 Albania Europe <tibble [12 × 4]>
#> 3 Algeria Africa <tibble [12 × 4]>
#> 4 Angola Africa <tibble [12 × 4]>
#> 5 Argentina Americas <tibble [12 × 4]>
#> 6 Australia Oceania <tibble [12 × 4]>
#> # ... with ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.