tests/testthat/_snaps/clean_dt.md
In kapsner/PCRBiasCorrection: Correct Bias in DNA Methylation Analyses
test normal function of file import of type 1
Code
round(table_prep(exp_type_1[["dat"]]), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 12.6 4.9 5.8
2: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 85.4 88.7 86.2
3: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 100.0 97.0 91.3
4: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6
5: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7
6: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5
7: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7
8: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2
9: 2.5 11.6 6.7 8.5 7.4 7.0 4.8 10.2 4.7 7.0
10: 16.8 31.5 22.2 23.4 20.5 23.0 14.1 21.7 18.6 21.3
11: 22.8 20.7 19.3 31.2 23.7 20.2 17.4 22.7 19.0 21.9
12: NA NA NA NA 35.2 38.4 31.0 35.3 29.1 33.8
13: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6
14: 45.7 62.0 47.5 57.6 46.6 50.7 35.1 48.3 46.0 48.8
15: 45.3 51.2 47.5 51.5 44.9 48.0 35.0 54.6 46.6 47.2
16: 2.6 10.1 4.3 7.7 4.4 7.1 2.3 10.5 2.6 5.7
17: 49.6 61.1 45.2 53.8 49.0 61.1 28.0 79.2 30.2 50.8
18: 49.5 56.9 49.6 57.1 34.4 44.2 39.4 51.6 49.5 48.0
19: 62.7 77.4 63.0 73.9 63.6 69.4 53.0 72.8 70.5 67.4
20: 8.7 11.8 8.9 13.1 9.9 11.2 7.7 15.3 7.5 10.4
21: 8.3 16.6 14.0 16.0 12.2 9.5 8.7 13.9 8.3 11.9
22: 23.1 25.9 22.9 25.2 22.2 24.6 18.0 30.2 22.2 23.8
23: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 24.7 22.2
24: 19.2 25.9 19.0 23.2 18.2 21.9 10.8 28.3 10.7 19.7
25: 30.0 36.0 31.0 32.3 28.3 32.2 23.4 32.4 33.9 31.1
26: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 34.8 34.5
27: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7
28: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1
29: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2
30: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9
31: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3
32: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7
33: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6
34: 2.3 10.7 4.2 8.4 5.8 7.1 2.0 7.5 3.2 5.7
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
Code
round(table_prep(exp_type_1), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 12.6 4.9 5.8
2: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 85.4 88.7 86.2
3: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 100.0 97.0 91.3
4: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6
5: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7
6: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5
7: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7
8: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2
9: 2.5 11.6 6.7 8.5 7.4 7.0 4.8 10.2 4.7 7.0
10: 16.8 31.5 22.2 23.4 20.5 23.0 14.1 21.7 18.6 21.3
11: 22.8 20.7 19.3 31.2 23.7 20.2 17.4 22.7 19.0 21.9
12: NA NA NA NA 35.2 38.4 31.0 35.3 29.1 33.8
13: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6
14: 45.7 62.0 47.5 57.6 46.6 50.7 35.1 48.3 46.0 48.8
15: 45.3 51.2 47.5 51.5 44.9 48.0 35.0 54.6 46.6 47.2
16: 2.6 10.1 4.3 7.7 4.4 7.1 2.3 10.5 2.6 5.7
17: 49.6 61.1 45.2 53.8 49.0 61.1 28.0 79.2 30.2 50.8
18: 49.5 56.9 49.6 57.1 34.4 44.2 39.4 51.6 49.5 48.0
19: 62.7 77.4 63.0 73.9 63.6 69.4 53.0 72.8 70.5 67.4
20: 8.7 11.8 8.9 13.1 9.9 11.2 7.7 15.3 7.5 10.4
21: 8.3 16.6 14.0 16.0 12.2 9.5 8.7 13.9 8.3 11.9
22: 23.1 25.9 22.9 25.2 22.2 24.6 18.0 30.2 22.2 23.8
23: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 24.7 22.2
24: 19.2 25.9 19.0 23.2 18.2 21.9 10.8 28.3 10.7 19.7
25: 30.0 36.0 31.0 32.3 28.3 32.2 23.4 32.4 33.9 31.1
26: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 34.8 34.5
27: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7
28: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1
29: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2
30: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9
31: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3
32: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7
33: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6
34: 2.3 10.7 4.2 8.4 5.8 7.1 2.0 7.5 3.2 5.7
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
Code
round(table_prep(exp_type_1), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 12.6 4.9 5.8
2: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 85.4 88.7 86.2
3: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 100.0 97.0 91.3
4: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6
5: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7
6: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5
7: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7
8: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2
9: 2.5 11.6 6.7 8.5 7.4 7.0 4.8 10.2 4.7 7.0
10: 16.8 31.5 22.2 23.4 20.5 23.0 14.1 21.7 18.6 21.3
11: 22.8 20.7 19.3 31.2 23.7 20.2 17.4 22.7 19.0 21.9
12: NA NA NA NA 35.2 38.4 31.0 35.3 29.1 33.8
13: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6
14: 45.7 62.0 47.5 57.6 46.6 50.7 35.1 48.3 46.0 48.8
15: 45.3 51.2 47.5 51.5 44.9 48.0 35.0 54.6 46.6 47.2
16: 2.6 10.1 4.3 7.7 4.4 7.1 2.3 10.5 2.6 5.7
17: 49.6 61.1 45.2 53.8 49.0 61.1 28.0 79.2 30.2 50.8
18: 49.5 56.9 49.6 57.1 34.4 44.2 39.4 51.6 49.5 48.0
19: 62.7 77.4 63.0 73.9 63.6 69.4 53.0 72.8 70.5 67.4
20: 8.7 11.8 8.9 13.1 9.9 11.2 7.7 15.3 7.5 10.4
21: 8.3 16.6 14.0 16.0 12.2 9.5 8.7 13.9 8.3 11.9
22: 23.1 25.9 22.9 25.2 22.2 24.6 18.0 30.2 22.2 23.8
23: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 24.7 22.2
24: 19.2 25.9 19.0 23.2 18.2 21.9 10.8 28.3 10.7 19.7
25: 30.0 36.0 31.0 32.3 28.3 32.2 23.4 32.4 33.9 31.1
26: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 34.8 34.5
27: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7
28: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1
29: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2
30: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9
31: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3
32: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7
33: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6
34: 2.3 10.7 4.2 8.4 5.8 7.1 2.0 7.5 3.2 5.7
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
Code
round(table_prep(cal_type_1), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 12.6 4.9 5.8
2: 2.5 11.6 6.7 8.5 7.4 7.0 4.8 10.2 4.7 7.0
3: 2.6 10.1 4.3 7.7 4.4 7.1 2.3 10.5 2.6 5.7
4: 2.3 10.7 4.2 8.4 5.8 7.1 2.0 7.5 3.2 5.7
5: 3.1 7.6 4.8 4.5 6.0 4.6 2.6 12.5 3.2 5.4
6: 8.7 11.8 8.9 13.1 9.9 11.2 7.7 15.3 7.5 10.4
7: 8.3 16.6 14.0 16.0 12.2 9.5 8.7 13.9 8.3 11.9
8: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6
9: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 24.7 22.2
10: 19.2 25.9 19.0 23.2 18.2 21.9 10.8 28.3 10.7 19.7
11: 16.8 31.5 22.2 23.4 20.5 23.0 14.1 21.7 18.6 21.3
12: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7
13: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5
14: 22.8 20.7 19.3 31.2 23.7 20.2 17.4 22.7 19.0 21.9
15: 23.1 25.9 22.9 25.2 22.2 24.6 18.0 30.2 22.2 23.8
16: 30.0 36.0 31.0 32.3 28.3 32.2 23.4 32.4 33.9 31.1
17: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7
18: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2
19: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 34.8 34.5
20: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7
21: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1
22: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6
23: 49.6 61.1 45.2 53.8 49.0 61.1 28.0 79.2 30.2 50.8
24: 45.7 62.0 47.5 57.6 46.6 50.7 35.1 48.3 46.0 48.8
25: 49.5 56.9 49.6 57.1 34.4 44.2 39.4 51.6 49.5 48.0
26: 45.3 51.2 47.5 51.5 44.9 48.0 35.0 54.6 46.6 47.2
27: 51.3 65.0 49.1 62.0 49.2 61.1 40.9 58.3 54.7 54.6
28: 62.7 77.4 63.0 73.9 63.6 69.4 53.0 72.8 70.5 67.4
29: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2
30: 53.1 64.6 55.0 52.4 52.5 57.7 43.6 63.7 55.4 55.3
31: 55.0 64.9 56.8 60.0 53.5 60.4 30.6 82.8 35.1 55.5
32: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9
33: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3
34: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7
35: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6
36: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 85.4 88.7 86.2
37: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 100.0 97.0 91.3
38: 92.9 99.3 86.2 93.0 84.6 88.4 71.6 100.0 100.0 90.7
39: 92.6 100.0 82.8 95.0 77.8 99.3 65.9 92.7 92.9 88.8
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
test normal function of file import of type 2
Code
round(table_prep(exp_type_2), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6 9
2: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7 9
3: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5 9
4: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7 9
5: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2 9
6: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2 9
7: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9 9
8: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3 9
9: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7 9
10: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6 9
11: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 NA 21.9 8
12: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 NA NA 5.0 7
13: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 NA NA 86.0 7
14: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 NA NA 89.2 7
15: 2.5 11.6 6.7 8.5 7.4 NA NA NA NA 7.3 5
16: 16.8 31.5 22.2 23.4 20.5 NA NA NA NA 22.9 5
17: 22.8 20.7 19.3 31.2 23.7 NA NA NA NA 23.5 5
18: 35.2 38.4 31.0 35.3 29.1 NA NA NA NA 33.8 5
19: 38.9 47.7 37.8 42.1 39.5 NA NA NA NA 41.2 5
20: 45.7 62.0 47.5 57.6 46.6 NA NA NA NA 51.9 5
21: 45.3 51.2 47.5 51.5 44.9 NA NA NA NA 48.1 5
22: 2.3 10.7 4.2 8.4 NA NA NA NA NA 6.4 4
23: 19.2 25.9 19.0 NA NA NA NA NA NA 21.3 3
24: 30.0 36.0 31.0 NA NA NA NA NA NA 32.3 3
25: 33.7 35.3 34.7 NA NA NA NA NA NA 34.5 3
26: 39.3 47.0 39.0 NA NA NA NA NA NA 41.8 3
27: 35.4 36.1 35.2 NA NA NA NA NA NA 35.5 3
28: 2.6 10.1 NA NA NA NA NA NA NA 6.3 2
29: 49.6 61.1 NA NA NA NA NA NA NA 55.4 2
30: 49.5 56.9 NA NA NA NA NA NA NA 53.2 2
31: 62.7 77.4 NA NA NA NA NA NA NA 70.0 2
32: 8.7 NA NA NA NA NA NA NA NA 8.7 1
33: 8.3 NA NA NA NA NA NA NA NA 8.3 1
34: 23.1 NA NA NA NA NA NA NA NA 23.1 1
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
Code
round(table_prep(exp_type_2), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6 9
2: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7 9
3: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5 9
4: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7 9
5: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2 9
6: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2 9
7: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9 9
8: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3 9
9: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7 9
10: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6 9
11: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 NA 21.9 8
12: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 NA NA 5.0 7
13: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 NA NA 86.0 7
14: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 NA NA 89.2 7
15: 2.5 11.6 6.7 8.5 7.4 NA NA NA NA 7.3 5
16: 16.8 31.5 22.2 23.4 20.5 NA NA NA NA 22.9 5
17: 22.8 20.7 19.3 31.2 23.7 NA NA NA NA 23.5 5
18: 35.2 38.4 31.0 35.3 29.1 NA NA NA NA 33.8 5
19: 38.9 47.7 37.8 42.1 39.5 NA NA NA NA 41.2 5
20: 45.7 62.0 47.5 57.6 46.6 NA NA NA NA 51.9 5
21: 45.3 51.2 47.5 51.5 44.9 NA NA NA NA 48.1 5
22: 2.3 10.7 4.2 8.4 NA NA NA NA NA 6.4 4
23: 19.2 25.9 19.0 NA NA NA NA NA NA 21.3 3
24: 30.0 36.0 31.0 NA NA NA NA NA NA 32.3 3
25: 33.7 35.3 34.7 NA NA NA NA NA NA 34.5 3
26: 39.3 47.0 39.0 NA NA NA NA NA NA 41.8 3
27: 35.4 36.1 35.2 NA NA NA NA NA NA 35.5 3
28: 2.6 10.1 NA NA NA NA NA NA NA 6.3 2
29: 49.6 61.1 NA NA NA NA NA NA NA 55.4 2
30: 49.5 56.9 NA NA NA NA NA NA NA 53.2 2
31: 62.7 77.4 NA NA NA NA NA NA NA 70.0 2
32: 8.7 NA NA NA NA NA NA NA NA 8.7 1
33: 8.3 NA NA NA NA NA NA NA NA 8.3 1
34: 23.1 NA NA NA NA NA NA NA NA 23.1 1
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
Code
round(table_prep(exp_type_2), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6 9
2: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7 9
3: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5 9
4: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7 9
5: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2 9
6: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2 9
7: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9 9
8: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3 9
9: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7 9
10: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6 9
11: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 NA 21.9 8
12: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 NA NA 5.0 7
13: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 NA NA 86.0 7
14: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 NA NA 89.2 7
15: 2.5 11.6 6.7 8.5 7.4 NA NA NA NA 7.3 5
16: 16.8 31.5 22.2 23.4 20.5 NA NA NA NA 22.9 5
17: 22.8 20.7 19.3 31.2 23.7 NA NA NA NA 23.5 5
18: 35.2 38.4 31.0 35.3 29.1 NA NA NA NA 33.8 5
19: 38.9 47.7 37.8 42.1 39.5 NA NA NA NA 41.2 5
20: 45.7 62.0 47.5 57.6 46.6 NA NA NA NA 51.9 5
21: 45.3 51.2 47.5 51.5 44.9 NA NA NA NA 48.1 5
22: 2.3 10.7 4.2 8.4 NA NA NA NA NA 6.4 4
23: 19.2 25.9 19.0 NA NA NA NA NA NA 21.3 3
24: 30.0 36.0 31.0 NA NA NA NA NA NA 32.3 3
25: 33.7 35.3 34.7 NA NA NA NA NA NA 34.5 3
26: 39.3 47.0 39.0 NA NA NA NA NA NA 41.8 3
27: 35.4 36.1 35.2 NA NA NA NA NA NA 35.5 3
28: 2.6 10.1 NA NA NA NA NA NA NA 6.3 2
29: 49.6 61.1 NA NA NA NA NA NA NA 55.4 2
30: 49.5 56.9 NA NA NA NA NA NA NA 53.2 2
31: 62.7 77.4 NA NA NA NA NA NA NA 70.0 2
32: 8.7 NA NA NA NA NA NA NA NA 8.7 1
33: 8.3 NA NA NA NA NA NA NA NA 8.3 1
34: 23.1 NA NA NA NA NA NA NA NA 23.1 1
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
Code
round(table_prep(cal_type_2), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 NA NA 40.2 7
2: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 NA NA 33.5 7
3: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 NA NA 39.3 7
4: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 NA NA 39.3 7
5: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 NA NA 34.3 7
6: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1 9
7: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7 9
8: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6 9
9: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6 9
10: 35.4 36.1 35.2 38.4 31.0 NA NA NA NA 35.2 5
11: 39.3 47.0 39.0 41.9 41.6 NA NA NA NA 41.8 5
12: 33.7 35.3 34.7 36.8 31.4 NA NA NA NA 34.4 5
13: 35.4 36.1 35.2 38.4 31.0 NA NA NA NA 35.2 5
14: 38.9 47.7 NA NA NA NA NA NA NA 43.3 2
15: 39.3 47.0 NA NA NA NA NA NA NA 43.2 2
16: 35.4 36.1 NA NA NA NA NA NA NA 35.7 2
17: 38.9 NA NA NA NA NA NA NA NA 38.9 1
18: 42.1 NA NA NA NA NA NA NA NA 42.1 1
19: 38.4 NA NA NA NA NA NA NA NA 38.4 1
20: 42.1 NA NA NA NA NA NA NA NA 42.1 1
21: 38.4 NA NA NA NA NA NA NA NA 38.4 1
22: 41.9 NA NA NA NA NA NA NA NA 41.9 1
23: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 NA 42.8 8
24: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 NA 34.5 8
25: 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 NA 40.8 8
26: 37.8 42.1 39.5 NA NA NA NA NA NA 39.8 3
27: 35.2 38.4 31.0 NA NA NA NA NA NA 34.8 3
28: 35.2 38.4 31.0 NA NA NA NA NA NA 34.8 3
29: 39.0 41.9 41.6 NA NA NA NA NA NA 40.8 3
30: 34.7 36.8 31.4 NA NA NA NA NA NA 34.3 3
31: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6 9
32: 33.7 35.3 34.7 36.8 37.8 42.1 39.5 43.7 31.9 37.3 9
33: 35.4 36.1 35.2 38.4 NA NA NA NA NA 36.3 4
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
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test normal function of file import of type 1
Code
round(table_prep(exp_type_1[["dat"]]), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 12.6 4.9 5.8
2: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 85.4 88.7 86.2
3: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 100.0 97.0 91.3
4: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6
5: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7
6: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5
7: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7
8: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2
9: 2.5 11.6 6.7 8.5 7.4 7.0 4.8 10.2 4.7 7.0
10: 16.8 31.5 22.2 23.4 20.5 23.0 14.1 21.7 18.6 21.3
11: 22.8 20.7 19.3 31.2 23.7 20.2 17.4 22.7 19.0 21.9
12: NA NA NA NA 35.2 38.4 31.0 35.3 29.1 33.8
13: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6
14: 45.7 62.0 47.5 57.6 46.6 50.7 35.1 48.3 46.0 48.8
15: 45.3 51.2 47.5 51.5 44.9 48.0 35.0 54.6 46.6 47.2
16: 2.6 10.1 4.3 7.7 4.4 7.1 2.3 10.5 2.6 5.7
17: 49.6 61.1 45.2 53.8 49.0 61.1 28.0 79.2 30.2 50.8
18: 49.5 56.9 49.6 57.1 34.4 44.2 39.4 51.6 49.5 48.0
19: 62.7 77.4 63.0 73.9 63.6 69.4 53.0 72.8 70.5 67.4
20: 8.7 11.8 8.9 13.1 9.9 11.2 7.7 15.3 7.5 10.4
21: 8.3 16.6 14.0 16.0 12.2 9.5 8.7 13.9 8.3 11.9
22: 23.1 25.9 22.9 25.2 22.2 24.6 18.0 30.2 22.2 23.8
23: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 24.7 22.2
24: 19.2 25.9 19.0 23.2 18.2 21.9 10.8 28.3 10.7 19.7
25: 30.0 36.0 31.0 32.3 28.3 32.2 23.4 32.4 33.9 31.1
26: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 34.8 34.5
27: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7
28: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1
29: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2
30: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9
31: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3
32: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7
33: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6
34: 2.3 10.7 4.2 8.4 5.8 7.1 2.0 7.5 3.2 5.7
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
Code
round(table_prep(exp_type_1), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 12.6 4.9 5.8
2: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 85.4 88.7 86.2
3: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 100.0 97.0 91.3
4: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6
5: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7
6: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5
7: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7
8: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2
9: 2.5 11.6 6.7 8.5 7.4 7.0 4.8 10.2 4.7 7.0
10: 16.8 31.5 22.2 23.4 20.5 23.0 14.1 21.7 18.6 21.3
11: 22.8 20.7 19.3 31.2 23.7 20.2 17.4 22.7 19.0 21.9
12: NA NA NA NA 35.2 38.4 31.0 35.3 29.1 33.8
13: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6
14: 45.7 62.0 47.5 57.6 46.6 50.7 35.1 48.3 46.0 48.8
15: 45.3 51.2 47.5 51.5 44.9 48.0 35.0 54.6 46.6 47.2
16: 2.6 10.1 4.3 7.7 4.4 7.1 2.3 10.5 2.6 5.7
17: 49.6 61.1 45.2 53.8 49.0 61.1 28.0 79.2 30.2 50.8
18: 49.5 56.9 49.6 57.1 34.4 44.2 39.4 51.6 49.5 48.0
19: 62.7 77.4 63.0 73.9 63.6 69.4 53.0 72.8 70.5 67.4
20: 8.7 11.8 8.9 13.1 9.9 11.2 7.7 15.3 7.5 10.4
21: 8.3 16.6 14.0 16.0 12.2 9.5 8.7 13.9 8.3 11.9
22: 23.1 25.9 22.9 25.2 22.2 24.6 18.0 30.2 22.2 23.8
23: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 24.7 22.2
24: 19.2 25.9 19.0 23.2 18.2 21.9 10.8 28.3 10.7 19.7
25: 30.0 36.0 31.0 32.3 28.3 32.2 23.4 32.4 33.9 31.1
26: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 34.8 34.5
27: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7
28: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1
29: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2
30: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9
31: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3
32: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7
33: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6
34: 2.3 10.7 4.2 8.4 5.8 7.1 2.0 7.5 3.2 5.7
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
Code
round(table_prep(exp_type_1), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 12.6 4.9 5.8
2: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 85.4 88.7 86.2
3: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 100.0 97.0 91.3
4: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6
5: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7
6: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5
7: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7
8: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2
9: 2.5 11.6 6.7 8.5 7.4 7.0 4.8 10.2 4.7 7.0
10: 16.8 31.5 22.2 23.4 20.5 23.0 14.1 21.7 18.6 21.3
11: 22.8 20.7 19.3 31.2 23.7 20.2 17.4 22.7 19.0 21.9
12: NA NA NA NA 35.2 38.4 31.0 35.3 29.1 33.8
13: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6
14: 45.7 62.0 47.5 57.6 46.6 50.7 35.1 48.3 46.0 48.8
15: 45.3 51.2 47.5 51.5 44.9 48.0 35.0 54.6 46.6 47.2
16: 2.6 10.1 4.3 7.7 4.4 7.1 2.3 10.5 2.6 5.7
17: 49.6 61.1 45.2 53.8 49.0 61.1 28.0 79.2 30.2 50.8
18: 49.5 56.9 49.6 57.1 34.4 44.2 39.4 51.6 49.5 48.0
19: 62.7 77.4 63.0 73.9 63.6 69.4 53.0 72.8 70.5 67.4
20: 8.7 11.8 8.9 13.1 9.9 11.2 7.7 15.3 7.5 10.4
21: 8.3 16.6 14.0 16.0 12.2 9.5 8.7 13.9 8.3 11.9
22: 23.1 25.9 22.9 25.2 22.2 24.6 18.0 30.2 22.2 23.8
23: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 24.7 22.2
24: 19.2 25.9 19.0 23.2 18.2 21.9 10.8 28.3 10.7 19.7
25: 30.0 36.0 31.0 32.3 28.3 32.2 23.4 32.4 33.9 31.1
26: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 34.8 34.5
27: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7
28: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1
29: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2
30: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9
31: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3
32: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7
33: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6
34: 2.3 10.7 4.2 8.4 5.8 7.1 2.0 7.5 3.2 5.7
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
Code
round(table_prep(cal_type_1), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 12.6 4.9 5.8
2: 2.5 11.6 6.7 8.5 7.4 7.0 4.8 10.2 4.7 7.0
3: 2.6 10.1 4.3 7.7 4.4 7.1 2.3 10.5 2.6 5.7
4: 2.3 10.7 4.2 8.4 5.8 7.1 2.0 7.5 3.2 5.7
5: 3.1 7.6 4.8 4.5 6.0 4.6 2.6 12.5 3.2 5.4
6: 8.7 11.8 8.9 13.1 9.9 11.2 7.7 15.3 7.5 10.4
7: 8.3 16.6 14.0 16.0 12.2 9.5 8.7 13.9 8.3 11.9
8: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6
9: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 24.7 22.2
10: 19.2 25.9 19.0 23.2 18.2 21.9 10.8 28.3 10.7 19.7
11: 16.8 31.5 22.2 23.4 20.5 23.0 14.1 21.7 18.6 21.3
12: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7
13: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5
14: 22.8 20.7 19.3 31.2 23.7 20.2 17.4 22.7 19.0 21.9
15: 23.1 25.9 22.9 25.2 22.2 24.6 18.0 30.2 22.2 23.8
16: 30.0 36.0 31.0 32.3 28.3 32.2 23.4 32.4 33.9 31.1
17: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7
18: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2
19: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 34.8 34.5
20: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7
21: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1
22: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6
23: 49.6 61.1 45.2 53.8 49.0 61.1 28.0 79.2 30.2 50.8
24: 45.7 62.0 47.5 57.6 46.6 50.7 35.1 48.3 46.0 48.8
25: 49.5 56.9 49.6 57.1 34.4 44.2 39.4 51.6 49.5 48.0
26: 45.3 51.2 47.5 51.5 44.9 48.0 35.0 54.6 46.6 47.2
27: 51.3 65.0 49.1 62.0 49.2 61.1 40.9 58.3 54.7 54.6
28: 62.7 77.4 63.0 73.9 63.6 69.4 53.0 72.8 70.5 67.4
29: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2
30: 53.1 64.6 55.0 52.4 52.5 57.7 43.6 63.7 55.4 55.3
31: 55.0 64.9 56.8 60.0 53.5 60.4 30.6 82.8 35.1 55.5
32: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9
33: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3
34: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7
35: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6
36: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 85.4 88.7 86.2
37: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 100.0 97.0 91.3
38: 92.9 99.3 86.2 93.0 84.6 88.4 71.6 100.0 100.0 90.7
39: 92.6 100.0 82.8 95.0 77.8 99.3 65.9 92.7 92.9 88.8
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means
test normal function of file import of type 2
Code
round(table_prep(exp_type_2), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6 9
2: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7 9
3: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5 9
4: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7 9
5: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2 9
6: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2 9
7: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9 9
8: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3 9
9: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7 9
10: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6 9
11: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 NA 21.9 8
12: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 NA NA 5.0 7
13: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 NA NA 86.0 7
14: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 NA NA 89.2 7
15: 2.5 11.6 6.7 8.5 7.4 NA NA NA NA 7.3 5
16: 16.8 31.5 22.2 23.4 20.5 NA NA NA NA 22.9 5
17: 22.8 20.7 19.3 31.2 23.7 NA NA NA NA 23.5 5
18: 35.2 38.4 31.0 35.3 29.1 NA NA NA NA 33.8 5
19: 38.9 47.7 37.8 42.1 39.5 NA NA NA NA 41.2 5
20: 45.7 62.0 47.5 57.6 46.6 NA NA NA NA 51.9 5
21: 45.3 51.2 47.5 51.5 44.9 NA NA NA NA 48.1 5
22: 2.3 10.7 4.2 8.4 NA NA NA NA NA 6.4 4
23: 19.2 25.9 19.0 NA NA NA NA NA NA 21.3 3
24: 30.0 36.0 31.0 NA NA NA NA NA NA 32.3 3
25: 33.7 35.3 34.7 NA NA NA NA NA NA 34.5 3
26: 39.3 47.0 39.0 NA NA NA NA NA NA 41.8 3
27: 35.4 36.1 35.2 NA NA NA NA NA NA 35.5 3
28: 2.6 10.1 NA NA NA NA NA NA NA 6.3 2
29: 49.6 61.1 NA NA NA NA NA NA NA 55.4 2
30: 49.5 56.9 NA NA NA NA NA NA NA 53.2 2
31: 62.7 77.4 NA NA NA NA NA NA NA 70.0 2
32: 8.7 NA NA NA NA NA NA NA NA 8.7 1
33: 8.3 NA NA NA NA NA NA NA NA 8.3 1
34: 23.1 NA NA NA NA NA NA NA NA 23.1 1
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
Code
round(table_prep(exp_type_2), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6 9
2: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7 9
3: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5 9
4: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7 9
5: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2 9
6: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2 9
7: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9 9
8: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3 9
9: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7 9
10: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6 9
11: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 NA 21.9 8
12: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 NA NA 5.0 7
13: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 NA NA 86.0 7
14: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 NA NA 89.2 7
15: 2.5 11.6 6.7 8.5 7.4 NA NA NA NA 7.3 5
16: 16.8 31.5 22.2 23.4 20.5 NA NA NA NA 22.9 5
17: 22.8 20.7 19.3 31.2 23.7 NA NA NA NA 23.5 5
18: 35.2 38.4 31.0 35.3 29.1 NA NA NA NA 33.8 5
19: 38.9 47.7 37.8 42.1 39.5 NA NA NA NA 41.2 5
20: 45.7 62.0 47.5 57.6 46.6 NA NA NA NA 51.9 5
21: 45.3 51.2 47.5 51.5 44.9 NA NA NA NA 48.1 5
22: 2.3 10.7 4.2 8.4 NA NA NA NA NA 6.4 4
23: 19.2 25.9 19.0 NA NA NA NA NA NA 21.3 3
24: 30.0 36.0 31.0 NA NA NA NA NA NA 32.3 3
25: 33.7 35.3 34.7 NA NA NA NA NA NA 34.5 3
26: 39.3 47.0 39.0 NA NA NA NA NA NA 41.8 3
27: 35.4 36.1 35.2 NA NA NA NA NA NA 35.5 3
28: 2.6 10.1 NA NA NA NA NA NA NA 6.3 2
29: 49.6 61.1 NA NA NA NA NA NA NA 55.4 2
30: 49.5 56.9 NA NA NA NA NA NA NA 53.2 2
31: 62.7 77.4 NA NA NA NA NA NA NA 70.0 2
32: 8.7 NA NA NA NA NA NA NA NA 8.7 1
33: 8.3 NA NA NA NA NA NA NA NA 8.3 1
34: 23.1 NA NA NA NA NA NA NA NA 23.1 1
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
Code
round(table_prep(exp_type_2), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 13.8 18.5 8.5 14.2 7.7 18.0 4.9 15.9 11.6 12.6 9
2: 15.1 20.5 19.2 17.8 18.1 19.0 11.7 19.6 18.6 17.7 9
3: 19.1 28.6 16.4 21.6 13.6 21.9 13.1 26.4 14.6 19.5 9
4: 30.1 36.8 30.1 31.3 31.2 32.2 17.5 48.2 18.8 30.7 9
5: 25.1 38.7 29.2 38.5 26.2 31.5 19.6 31.2 22.9 29.2 9
6: 60.6 66.1 60.7 64.5 57.8 60.4 44.3 65.7 61.5 60.2 9
7: 65.6 74.2 60.4 68.9 67.4 81.1 44.6 76.1 63.9 66.9 9
8: 62.8 81.4 63.0 69.8 63.4 74.4 48.4 69.3 72.6 67.3 9
9: 66.7 78.7 61.2 76.6 67.7 77.5 44.5 76.8 68.1 68.7 9
10: 94.2 100.0 88.3 94.4 88.3 92.6 75.5 100.0 100.0 92.6 9
11: 16.5 19.6 19.8 23.9 19.1 24.4 15.1 36.5 NA 21.9 8
12: 4.3 7.9 3.9 4.7 5.4 6.0 3.0 NA NA 5.0 7
13: 92.5 100.0 80.8 90.0 73.6 98.7 66.3 NA NA 86.0 7
14: 92.6 100.0 84.7 100.0 81.9 100.0 65.4 NA NA 89.2 7
15: 2.5 11.6 6.7 8.5 7.4 NA NA NA NA 7.3 5
16: 16.8 31.5 22.2 23.4 20.5 NA NA NA NA 22.9 5
17: 22.8 20.7 19.3 31.2 23.7 NA NA NA NA 23.5 5
18: 35.2 38.4 31.0 35.3 29.1 NA NA NA NA 33.8 5
19: 38.9 47.7 37.8 42.1 39.5 NA NA NA NA 41.2 5
20: 45.7 62.0 47.5 57.6 46.6 NA NA NA NA 51.9 5
21: 45.3 51.2 47.5 51.5 44.9 NA NA NA NA 48.1 5
22: 2.3 10.7 4.2 8.4 NA NA NA NA NA 6.4 4
23: 19.2 25.9 19.0 NA NA NA NA NA NA 21.3 3
24: 30.0 36.0 31.0 NA NA NA NA NA NA 32.3 3
25: 33.7 35.3 34.7 NA NA NA NA NA NA 34.5 3
26: 39.3 47.0 39.0 NA NA NA NA NA NA 41.8 3
27: 35.4 36.1 35.2 NA NA NA NA NA NA 35.5 3
28: 2.6 10.1 NA NA NA NA NA NA NA 6.3 2
29: 49.6 61.1 NA NA NA NA NA NA NA 55.4 2
30: 49.5 56.9 NA NA NA NA NA NA NA 53.2 2
31: 62.7 77.4 NA NA NA NA NA NA NA 70.0 2
32: 8.7 NA NA NA NA NA NA NA NA 8.7 1
33: 8.3 NA NA NA NA NA NA NA NA 8.3 1
34: 23.1 NA NA NA NA NA NA NA NA 23.1 1
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
Code
round(table_prep(cal_type_2), 1)
Output
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
<num> <num> <num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 NA NA 40.2 7
2: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 NA NA 33.5 7
3: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 NA NA 39.3 7
4: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 NA NA 39.3 7
5: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 NA NA 34.3 7
6: 35.4 36.1 35.2 38.4 31.0 35.3 29.1 38.7 36.4 35.1 9
7: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 23.8 40.7 9
8: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6 9
9: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6 9
10: 35.4 36.1 35.2 38.4 31.0 NA NA NA NA 35.2 5
11: 39.3 47.0 39.0 41.9 41.6 NA NA NA NA 41.8 5
12: 33.7 35.3 34.7 36.8 31.4 NA NA NA NA 34.4 5
13: 35.4 36.1 35.2 38.4 31.0 NA NA NA NA 35.2 5
14: 38.9 47.7 NA NA NA NA NA NA NA 43.3 2
15: 39.3 47.0 NA NA NA NA NA NA NA 43.2 2
16: 35.4 36.1 NA NA NA NA NA NA NA 35.7 2
17: 38.9 NA NA NA NA NA NA NA NA 38.9 1
18: 42.1 NA NA NA NA NA NA NA NA 42.1 1
19: 38.4 NA NA NA NA NA NA NA NA 38.4 1
20: 42.1 NA NA NA NA NA NA NA NA 42.1 1
21: 38.4 NA NA NA NA NA NA NA NA 38.4 1
22: 41.9 NA NA NA NA NA NA NA NA 41.9 1
23: 39.3 47.0 39.0 41.9 41.6 43.7 22.8 66.7 NA 42.8 8
24: 33.7 35.3 34.7 36.8 31.4 35.6 27.2 41.0 NA 34.5 8
25: 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 NA 40.8 8
26: 37.8 42.1 39.5 NA NA NA NA NA NA 39.8 3
27: 35.2 38.4 31.0 NA NA NA NA NA NA 34.8 3
28: 35.2 38.4 31.0 NA NA NA NA NA NA 34.8 3
29: 39.0 41.9 41.6 NA NA NA NA NA NA 40.8 3
30: 34.7 36.8 31.4 NA NA NA NA NA NA 34.3 3
31: 38.9 47.7 37.8 42.1 39.5 43.7 31.9 42.4 41.5 40.6 9
32: 33.7 35.3 34.7 36.8 37.8 42.1 39.5 43.7 31.9 37.3 9
33: 35.4 36.1 35.2 38.4 NA NA NA NA NA 36.3 4
CpG#1 CpG#2 CpG#3 CpG#4 CpG#5 CpG#6 CpG#7 CpG#8 CpG#9 row_means CpG_count
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