Nothing
Code
round(table_prep(rv$final_results), 1)
Output
CpG#1_h CpG#2_h CpG#3_h CpG#4_h CpG#5_c CpG#6_h CpG#7_h CpG#8_c CpG#9_h
<num> <num> <num> <num> <num> <num> <num> <num> <num>
1: 79.0 76.7 74.5 75.9 73.7 79.2 77.5 74.2 80.5
2: 31.3 31.0 28.4 29.1 28.9 30.2 27.1 30.7 27.8
3: 42.7 42.9 42.6 44.0 46.8 41.9 48.4 38.1 46.3
4: 57.8 59.2 56.3 58.8 55.6 56.9 58.9 61.6 57.2
5: 11.2 4.0 8.0 11.0 10.3 8.8 13.3 9.4 8.6
6: 23.5 20.0 24.7 23.0 25.1 18.7 27.0 21.3 24.2
7: 24.8 17.4 26.9 28.0 28.4 30.0 31.0 41.8 39.6
8: 46.4 41.1 44.8 42.5 45.3 42.9 45.7 47.9 44.3
9: 84.5 85.7 84.7 84.7 88.9 86.6 84.6 84.8 87.3
10: 0.0 2.1 0.0 3.0 0.0 1.4 0.0 0.0 0.0
row_means_h
<num>
1: 76.8
2: 28.8
3: 43.0
4: 57.6
5: 8.9
6: 22.2
7: 29.2
8: 43.9
9: 85.7
10: 0.0
Code
round(table_prep(rv$substitutions), 1)
Output
Null data.table (0 rows and 0 cols)
Code
round(table_prep(rv$fileimport_cal_corrected), 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: 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0
2: 14.1 10.8 10.8 13.2 10.5 11.8 11.8 9.0 12.2 11.2
3: 26.1 26.1 26.1 25.1 26.3 26.5 26.2 28.2 28.1 25.9
4: 39.4 35.2 37.3 38.8 39.9 35.4 39.2 37.2 37.7 37.1
5: 52.9 47.9 51.4 49.1 53.1 50.1 54.4 54.7 52.4 51.2
6: 65.4 67.3 65.0 67.6 64.0 65.0 66.1 66.6 64.9 65.4
7: 74.4 75.7 77.0 73.8 77.1 73.6 75.2 79.1 74.3 75.3
8: 80.6 84.1 79.7 82.0 86.3 87.0 78.6 81.7 83.9 82.7
9: 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
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