algorithm_minmax_TRUE_re.md
In rBiasCorrection: Correct Bias in DNA Methylation Analyses

algorithm test, type 1, minmax = TRUE selection_method = RelError

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