c.4..4..3..3..3..6..4..2..2..2..1..3..3..3..3..4..4..3..2..8..
1 4
2 4
3 3
4 3
5 3
6 6
7 4
8 2
9 2
10 2
11 1
12 3
13 3
14 3
15 3
16 4
17 4
18 3
19 2
20 8
21 2
22 2
23 3
24 4
25 3
26 3
27 4
28 2[1] "c.4..4..3..3..3..6..4..2..2..2..1..3..3..3..3..4..4..3..2..8.." c.4..4..3..3..3..6..4..2..2..2..1..3..3..3..3..4..4..3..2..8.. reyes
1 4 4
2 4 4
3 3 3
4 3 3
5 3 3
6 6 6
7 4 4
8 2 2
9 2 2
10 2 2
11 1 1
12 3 3
13 3 3
14 3 3
15 3 3
16 4 4
17 4 4
18 3 3
19 2 2
20 8 8
21 2 2
22 2 2
23 3 3
24 4 4
25 3 3
26 3 3
27 4 4
28 2 2
Attaching package: 'dplyr'The following objects are masked from 'package:stats':
filter, lagThe following objects are masked from 'package:base':
intersect, setdiff, setequal, union c.4..4..3..3..3..6..4..2..2..2..1..3..3..3..3..4..4..3..2..8.. reyes
1 4 4
2 4 4
3 3 3
4 3 3
5 3 3
6 6 6
7 4 4
8 2 2
9 2 2
10 2 2
11 1 1
12 3 3
13 3 3
14 3 3
15 3 3
16 4 4
17 4 4
18 3 3
19 2 2
20 8 8
21 2 2
22 2 2
23 3 3
24 4 4
25 3 3
26 3 3
27 4 4
28 2 2
morethan
1 within
2 within
3 within
4 within
5 within
6 morethantwo
7 within
8 within
9 within
10 within
11 within
12 within
13 within
14 within
15 within
16 within
17 within
18 within
19 within
20 morethantwo
21 within
22 within
23 within
24 within
25 within
26 within
27 within
28 within# A tibble: 2 × 2
morethan count
<chr> <int>
1 morethantwo 2
2 within 26```