皆さん、
2 つのデータ フレーム df1 と df2 を連結またはマージしたいと考えています。私の目標は、列が df1 と df2 の結合である新しいデータ フレームを作成するのと同じくらい簡単です。
例
product=c("p1","p1","p1","p1","p1","p1","p1","p1","p2","p2","p2","p2","p2","p2","p2","p2","p3","p3","p3","p3","p3","p3","p3","p3","p4","p4","p4","p4","p4","p4","p4","p4")
skew=c("b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a","b","b","b","b","a","a","a","a")
version=c(0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2,0.1,0.1,0.2,0.2)
color=c("C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2","C1","C2")
price=c(1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32)
df1 = data.frame(product, skew, version)
df2 = data.frame(product, skew, color, price)
私の願いは、以下のような結果を得ることです。
私はいくつかのオプションを試しました：
#option 1 with cbind
df <- cbind(df1,df2)
これは、データフレームの複製された列「製品」と「スキュー」を返します。
# Option 2, use data.frame
df <- data.frame(df1,df2)
これにより、「製品」と「スキュー」の列が追加されたことを除いて、私が望んでいたものがほとんど得られました。ただし、「.1」という接尾辞が付いているため、重複はありません。
# option 3, use merge which seems to be the way to go
df <- merge(df1,df2)
これは実際にすべてのデータセットからユニオンを作成し、提供された 32 個のうち合計 128 個の観測値を作成したため、マージで何かが欠けていると思います。それがマージの仕組みだと思います。「?merge」を実行し、いくつかのオプションを試しましたが、必要なものを吐き出すことができませんでした。
だから私の質問は：
上記のように df1 と df2 から目的のデータフレームを取得する最良の方法は何ですか?
あなたの助けのために前もってThx！リヤド。
product skew version color price
1 p1 b 0.1 C1 1
2 p1 b 0.1 C2 2
3 p1 b 0.2 C1 3
4 p1 b 0.2 C2 4
5 p1 a 0.1 C1 5
6 p1 a 0.1 C2 6
7 p1 a 0.2 C1 7
8 p1 a 0.2 C2 8
9 p2 b 0.1 C1 9
10 p2 b 0.1 C2 10
11 p2 b 0.2 C1 11
12 p2 b 0.2 C2 12
13 p2 a 0.1 C1 13
14 p2 a 0.1 C2 14
15 p2 a 0.2 C1 15
16 p2 a 0.2 C2 16
17 p3 b 0.1 C1 17
18 p3 b 0.1 C2 18
19 p3 b 0.2 C1 19
20 p3 b 0.2 C2 20
21 p3 a 0.1 C1 21
22 p3 a 0.1 C2 22
23 p3 a 0.2 C1 23
24 p3 a 0.2 C2 24
25 p4 b 0.1 C1 25
26 p4 b 0.1 C2 26
27 p4 b 0.2 C1 27
28 p4 b 0.2 C2 28
29 p4 a 0.1 C1 29
30 p4 a 0.1 C2 30
31 p4 a 0.2 C1 31
32 p4 a 0.2 C2 32