Barton
df = data.table::fread("1 112.75 41.75
2 111.75 41.75
3 111.25 41.75
4 117.25 41.25
5 116.75 41.25
6 116.25 41.25
7 115.75 41.25
8 113.75 41.25
9 111.25 41.25
10 110.25 41.25
11 119.75 40.75
12 115.75 40.75
13 112.25 40.75
14 111.25 40.75
15 110.75 40.75
16 110.25 40.75
17 109.75 40.75
18 115.75 40.25
19 115.25 40.25
20 112.75 40.25
21 111.75 40.25
22 111.25 40.25
23 110.25 40.25
24 109.25 40.25
25 112.75 39.75
26 112.25 39.75
27 111.75 39.75
28 111.25 39.75
29 110.75 39.75
30 109.75 39.75
31 109.25 39.75
32 113.75 39.25
33 112.25 39.25
34 110.75 39.25
35 110.25 39.25
36 109.75 39.25
37 110.75 38.75
38 110.25 38.75
39 109.75 38.75
40 109.75 38.25
41 109.25 38.25
42 109.25 37.75
43 107.75 37.75
44 107.25 37.75
45 108.75 37.25
46 107.25 37.25
47 116.25 40.25
48 116.75 39.75
49 116.25 39.75
50 115.75 39.75
51 116.25 39.25
52 115.75 39.25
53 115.25 39.25
54 116.75 38.75
55 115.25 38.75
56 114.75 38.75
57 114.25 38.75
58 116.25 38.25
59 78.75 31.25
60 78.75 33.75
61 100.25 38.75
62 100.75 38.25
63 100.25 38.25
64 99.25 38.25
65 100.75 37.75
66 100.25 37.75
67 99.75 37.75
68 99.25 37.75
69 103.25 37.25
70 102.25 37.25
71 101.25 37.25
72 99.75 37.25
73 99.25 37.25
74 98.75 37.25
75 98.75 36.75
76 97.25 36.75
77 96.75 36.25
78 96.25 35.75
79 94.25 35.25
80 93.75 35.25
81 84.25 35.25
1 100.25 38.75
2 100.75 38.25
3 100.25 38.25
4 99.25 38.25
5 100.75 37.75
6 100.25 37.75
7 99.75 37.75
8 99.25 37.75
9 103.25 37.25
10 102.25 37.25
11 101.25 37.25
12 99.75 37.25
13 99.25 37.25
14 98.75 37.25
15 98.75 36.75
16 97.25 36.75
17 96.75 36.25
18 96.25 35.75
19 94.25 35.25
20 93.75 35.25
21 84.25 35.25
22 83.75 35.25
23 81.25 35.25
24 81.25 34.75
25 80.75 34.75
26 80.25 34.75
27 81.75 34.25
28 81.25 34.25
29 80.75 34.25
30 80.25 34.25
31 80.75 33.75
32 79.75 33.75
33 79.25 33.75
34 103.75 33.25
35 103.25 33.25
36 103.75 32.75
37 103.25 32.75
38 102.75 32.75
39 103.25 32.25
40 102.25 32.25
41 79.25 31.75
42 78.75 31.75
43 112.75 39.25
44 111.25 39.25
45 113.75 38.75
46 111.25 38.75
47 114.25 38.25
48 110.75 38.25
49 110.25 38.25
50 110.25 37.75
51 109.75 37.75
52 110.25 37.25
53 109.25 37.25
54 108.25 37.25
55 107.75 37.25
56 101.75 37.25
57 108.75 36.75
58 108.25 36.75
59 107.75 36.75
60 107.25 36.75
61 103.25 36.75
62 102.75 36.75
63 102.25 36.75
64 108.75 36.25
65 107.75 36.25
66 104.25 36.25
67 103.75 36.25
68 107.25 35.75
69 103.25 35.75
70 104.25 35.25
71 104.75 34.75
72 109.25 34.25
73 108.75 34.25
74 104.25 31.75
75 103.75 31.25")
df2 = df[, -1]
duplicated(df2)
#> [1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [12] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [23] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [34] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [45] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [56] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [67] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [78] FALSE FALSE FALSE FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [89] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
#> [100] TRUE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [111] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [122] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [144] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
#> [155] FALSE FALSE
<sup>Created on 2018-12-13 by the reprex package (v0.2.1)</sup>