November 2019
Intermediate to advanced
472 pages
9h 23m
Japanese
Content preview from Rグラフィックスクックブック 第2版 ―ggplot2によるグラフ作成のレシピ集
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273
11
章
ファセット
データを視覚化する便利なテクニックとしてグループごとに並べて描画する方法があります。これに
よりグループ間の比較がしやすくなります。
ggplot2
で実現するには、離散値変数を
x
位置、色、形な
どのエステティック属性にマッピングするのが
1
つの方法です。もう
1
つの方法は各グループごとにサ
ブプロットを作り、それらを並べます。
この種のプロットは格子状（トレリス、
Trellis
）表示として知られており、
lattice
パッケージや
ggplot2
パッケージで実装されています。
ggplot2
ではファセットと呼ばれています。この章ではファ
セットの使い方を説明します。
レシピ
11.1
ファセットを使いデータをサブプロットに分割する
問題
データの部分集合を別のパネルにプロットしたい。
解決策
facet_grid()
または
facet_wrap()
を使い、分割に利用する変数を指定します。
facet_grid()
では垂直方向と水平方向のサブパネルにデータを分割するための変数をそれぞれ指定
できます（図11-1）。
#
基本プロットを作成
mpg_plot <- ggplot(mpg, aes(x = displ, y = hwy)) +
geom_point()
#
垂直方向パネルに
drv
で分割
mpg_plot +
facet_grid(drv ~ .)
274
11
章 ファセット
#
水平方向パネルに
cyl
で分割
mpg_plot +
facet_grid(. ~ cyl)
# drv
（垂直方向）と
cyl ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.