Nothing
Code
list(df1, df2, df3, df4)
Output
[[1]]
# A tibble: 150 x 5
rowid Petal.Length Petal.Width Sepal.Length Sepal.Width
<int> <dbl> <dbl> <dbl> <dbl>
1 1 1.4 0.2 5.1 3.5
2 2 1.4 0.2 4.9 3
3 3 1.3 0.2 4.7 3.2
4 4 1.5 0.2 4.6 3.1
5 5 1.4 0.2 5 3.6
6 6 1.7 0.4 5.4 3.9
7 7 1.4 0.3 4.6 3.4
8 8 1.5 0.2 5 3.4
9 9 1.4 0.2 4.4 2.9
10 10 1.5 0.1 4.9 3.1
# ... with 140 more rows
[[2]]
# A tibble: 32 x 3
rowid am wt
<int> <fct> <dbl>
1 1 0 3.22
2 2 0 3.44
3 3 0 3.46
4 4 0 3.57
5 5 0 3.19
6 6 0 3.15
7 7 0 3.44
8 8 0 3.44
9 9 0 4.07
10 10 0 3.73
# ... with 22 more rows
[[3]]
# A tibble: 88 x 5
rowid HDHF HDLF LDHF LDLF
<int> <dbl> <dbl> <dbl> <dbl>
1 1 10 9 6 6
2 3 10 10 10 5
3 4 9 6 9 6
4 5 8.5 5.5 6.5 3
5 6 3 7.5 0.5 2
6 7 10 10 10 10
7 8 10 9 10 10
8 9 10 6 9.5 9.5
9 11 0 0 2.5 0
10 12 10 8.5 7.5 9.5
# ... with 78 more rows
[[4]]
# A tibble: 51 x 3
rowid vore brainwt
<int> <fct> <dbl>
1 3 carni 0.07
2 4 carni 0.0108
3 5 carni 0.0256
4 7 carni 0.325
5 9 carni 0.0125
6 12 carni 0.157
7 17 carni 0.0175
8 18 carni 0.0445
9 19 carni 0.0504
10 21 herbi 0.423
# ... with 41 more rows
Code
list(df1, df2, df3, df4)
Output
[[1]]
# A tibble: 600 x 3
rowid condition value
<int> <fct> <dbl>
1 1 Petal.Length 1.4
2 1 Petal.Width 0.2
3 1 Sepal.Length 5.1
4 1 Sepal.Width 3.5
5 2 Petal.Length 1.4
6 2 Petal.Width 0.2
7 2 Sepal.Length 4.9
8 2 Sepal.Width 3
9 3 Petal.Length 1.3
10 3 Petal.Width 0.2
# ... with 590 more rows
[[2]]
# A tibble: 32 x 3
rowid am wt
<int> <fct> <dbl>
1 1 0 3.22
2 2 0 3.44
3 3 0 3.46
4 4 0 3.57
5 5 0 3.19
6 6 0 3.15
7 7 0 3.44
8 8 0 3.44
9 9 0 4.07
10 10 0 3.73
# ... with 22 more rows
[[3]]
# A tibble: 352 x 3
rowid condition desire
<int> <fct> <dbl>
1 1 HDHF 10
2 1 HDLF 9
3 1 LDHF 6
4 1 LDLF 6
5 3 HDHF 10
6 3 HDLF 10
7 3 LDHF 10
8 3 LDLF 5
9 4 HDHF 9
10 4 HDLF 6
# ... with 342 more rows
[[4]]
# A tibble: 51 x 3
rowid vore brainwt
<int> <fct> <dbl>
1 3 carni 0.07
2 4 carni 0.0108
3 5 carni 0.0256
4 7 carni 0.325
5 9 carni 0.0125
6 12 carni 0.157
7 17 carni 0.0175
8 18 carni 0.0445
9 19 carni 0.0504
10 21 herbi 0.423
# ... with 41 more rows
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