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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308
13
章 さまざまなグラフ
自分で関数を定義することもできます。関数は、引数のはじめに
x
を取り、
y
の値を返すように定義
します。この例では、シグモイド関数を定義します（図13-5）。
myfun <- function(xvar) {
1 / (1 + exp(-xvar + 10))
}
ggplot(data.frame(x = c(0, 20)), aes(x = x)) +
stat_function(fun = myfun)
図13-5 ユーザ定義関数
デフォルトでは、関数は
x
の範囲内に
101
点計算されます。急速に振動する関数をプロットするとき
は、細かい部分が見えなくなります。より詳細な曲線を得るためには、
stat_function(fun=myfun,
n=200)
のように、
stat_function()
の
n
にさらに大きな値を設定します。
関連項目
モデルオブジェクト（
lm
や
glm
など）から予測値をプロットするためには、「レシピ 5.7 既存のモデ
ルをフィットさせる」を参照してください。
レシピ
13.3
関数曲線の下の部分領域に網掛けをする
問題
関数曲線の下の一部の領域に網掛けしたい。
レシピ
13.3
関数曲線の下の部分領域に網掛けをする
309
解決策
プロットしたい関数に対してラップ関数 ...
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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.
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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.