October 2017
Intermediate to advanced
480 pages
9h 49m
Japanese
Content preview from Rではじめるデータサイエンス
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366
20
章
purrr
と
broom
による多数のモデル
#> # 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 136 more row
s
どの列を入れ子にしたいか指定して、グループ化していないデータフレームにも使うことができま
す。
gapminder %>%
nest(year:gdpPercap[TK17])
#> # 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 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.