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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106
5
章 散布図
図5-21 左：各グループに対してLOESSをフィットさせたもの 右：外挿直線をフィットさせたもの
heightweight
データセットを使ったこの例では、
stat_smooth()
のデフォルト設定（
LOESS
を使用
し、外挿はなし）のほうが線形モデルで外挿を行うよりも適しています。なぜなら、人間は線形には成
長しませんし、いつまでも成長するわけではないからです。
レシピ
5.7
既存のモデルをフィットさせる
問題
データセットに対する既存のモデルを作成していて、そのモデルをフィットさせた線を表示したい。
解決策
通常、フィットさせたモデルの線を重ねて表示する一番簡単な方法は、「レシピ5.6 回帰モデルの
直線をフィットさせる」で紹介した
stat_smooth()
関数を使うことです。しかし、独自にモデルを作成
し、それをグラフに表示したい場合があります。これによって、他の計算に使っているモデルが、目の
前に表示しているものと同じであることを確認できるようになります。
この例では、
heightIn
を予測するために
ageYear
を用い、さらに
lm()
を使った
2
次式のモデルを構
築します。その後、
predict()
関数を使い、
ageYear
の値の範囲から
heightIn
の予測値を見つけます。
library(gcookbook) # heightweight
データセットを使うために
gcookbook
を読み込む
model <- lm(heightIn ~ ageYear + I(ageYear^2), ...
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