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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272
16
章 ベクトル
1. 入れ子になった集合として次のリストを書きなさい。
a.
list(a, b, list(c, d), list(e, f))
b.
list(list(list(list(list(list(a))))))
2.
tibble
の要素抽出をリストの要素抽出であるかのように行うとどうなるか。リストと
tibble
の
主な相違点は何か。
16.6
属性
ベクトルは、その属性を通じてどのような追加メタデータも含むことができます。属性はどんなオ
ブジェクトにも付加できるベクトルの名前付きリストだと考えることができます。
attr()
で個別属
性値の取得設定ができ、
attributes()
で全部表示できます。
x <- 1:10
attr(x, "greeting")
#> NULL
attr(x, "greeting") <- "Hi!"
attr(x, "farewell") <- "Bye!"
attributes(x)
#> $greeting
#> [1] "Hi!"
#>
#> $farewell
#> [1] "Bye!"
Rの基本的な要素の実装に使われる非常に重要な属性が3 つあります。
●
名前はベクトルの要素の名前に使われる。
●
次元（省略して
dim
）はベクトルが行列や配列のように振る舞うようにする。
●
クラスは、S3オブジェクト指向システムの実装に使う。
名前は既に学びました。次元は本書では行列を使わないので扱いません。ジェネリック関数の動
作を制御するクラスの記述が残って
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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.