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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150
6
章 データ分布の要約
一方カーネル密度推定は帯域幅を選択して推定する推定値です。
ヒストグラムと同じように、頻度の折れ線グラフでもビン幅をコントロールすることができます（図
6-15右）。
ggplot(faithful, aes(x = waiting)) +
geom_freqpoly(binwidth = 4)
図6-15 左：頻度の折れ線グラフ 右：広いビン幅を設定した頻度の折れ線グラフ
もしくは、ビン幅を直接設定する代わりに、
x
の分布範囲を指定したビンの数で分割することもでき
ます。
# 15
のビンに分割する
binsize <- diff(range(faithful$waiting))/15
ggplot(faithful, aes(x = waiting)) +
geom_freqpoly(binwidth = binsize)
関連項目
ヒストグラムは、同じ情報を折れ線ではなく棒グラフで表示します。「レシピ6.1 基本的なヒストグ
ラムを作成する」を参照してください。
レシピ
6.6
基本的な箱ひげ図を作成する
問題
箱ひげ図を作成したい。
レシピ
6.6
基本的な箱ひげ図を作成する
151
解決策
geom_boxplot()
を使い、連続値変数を
y
に、離散値変数を
x
にマッピングします（図 6-1 ...
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