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

algorithm test, type 1, minmax = FALSE 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_h CpG#6_h CpG#7_h CpG#8_h CpG#9_h
        <num>   <num>   <num>   <num>   <num>   <num>   <num>   <num>   <num>
   1:    79.9    76.7    74.9    76.3    72.8    79.3    78.3    73.0    81.0
   2:    29.8    31.0    27.7    28.3    26.4    30.2    25.5    27.8    26.6
   3:    41.7    42.7    41.9    43.4    44.3    41.8    47.4    34.9    45.7
   4:    57.5    58.9    55.8    58.5    53.5    56.8    58.3    59.2    57.0
   5:     9.2     5.0     8.0    10.3    10.0     8.9    11.7     9.6     6.8
   6:    21.8    20.2    24.1    22.2    22.9    18.7    25.4    19.4    22.9
   7:    23.1    17.8    26.2    27.1    25.9    29.9    29.4    38.6    38.9
   8:    45.5    40.9    44.1    41.8    42.8    42.8    44.6    44.8    43.7
   9:    85.7    86.0    85.8    85.7    88.9    86.8    86.0    84.9    88.0
  10:     0.0     3.1     0.0     2.4     2.3     1.5     0.0     0.0     0.0
      row_means_h
            <num>
   1:        77.1
   2:        28.4
   3:        42.5
   4:        57.3
   5:         8.8
   6:        21.8
   7:        28.7
   8:        43.4
   9:        86.4
  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   1.1   0.5   0.0   2.4   0.1   0.0   2.8   0.0       0.3
  2:  12.2  11.4  10.8  12.5  10.2  11.9  10.2   9.3  10.5      11.0
  3:  24.5  26.2  25.5  24.3  24.0  26.5  24.6  25.5  26.9      25.4
  4:  38.2  35.1  36.5  38.1  37.3  35.3  37.8  34.0  36.8      36.5
  5:  52.3  47.7  50.8  48.6  50.9  50.1  53.6  51.8  52.0      50.7
  6:  65.5  67.1  64.9  67.7  62.4  65.0  65.9  64.7  64.9      65.3
  7:  75.0  75.8  77.6  74.2  76.4  73.7  75.7  78.4  74.6      75.5
  8:  81.5  84.4  80.4  82.9  86.2  87.1  79.4  81.3  84.5      83.2
  9: 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0     100.0