get_matrix.RdExtract methylation or coverage matrices
get_matrix(m, type = "M", add_loci = FALSE, in_granges = FALSE)
| m |
|
|---|---|
| type | can be |
| add_loci | Default FALSE. If TRUE adds CpG position info to the matrix and returns as a data.table |
| in_granges | Do you want the outcome in |
Coverage or Methylation matrix
Takes methrix object and returns user specified methylation or coverage matrix
#> C1 C2 N1 N2 #> [1,] 0.1538462 0.28571429 0.5555556 0.30000000 #> [2,] NA 0.50000000 0.0000000 NA #> [3,] 0.5555556 0.70000000 0.3333333 0.80000000 #> [4,] 0.1818182 0.25000000 0.5833333 0.25000000 #> [5,] 0.6666667 1.00000000 0.8823529 0.87500000 #> [6,] 0.8461538 1.00000000 0.8333333 0.92857143 #> [7,] 0.2307692 0.00000000 0.1111111 0.00000000 #> [8,] 0.5714286 1.00000000 0.5714286 1.00000000 #> [9,] 1.0000000 1.00000000 0.8181818 1.00000000 #> [10,] 0.7142857 0.83333333 0.7777778 0.87500000 #> [11,] 0.6666667 0.80000000 0.8000000 0.87500000 #> [12,] 0.1176471 0.22222222 0.0000000 0.60000000 #> [13,] 0.1428571 0.28571429 0.6428571 0.50000000 #> [14,] 0.4000000 0.00000000 1.0000000 1.00000000 #> [15,] 0.5555556 0.27272727 0.8000000 0.71428571 #> [16,] 0.3333333 0.25000000 1.0000000 0.90909091 #> [17,] 0.3333333 0.42857143 1.0000000 1.00000000 #> [18,] 0.0000000 1.00000000 0.5000000 0.00000000 #> [19,] 0.0000000 0.08333333 0.7142857 0.45454545 #> [20,] 0.6666667 0.13333333 1.0000000 0.57142857 #> [21,] 0.4000000 1.00000000 0.8888889 0.57142857 #> [22,] 1.0000000 0.86666667 0.8333333 1.00000000 #> [23,] 0.6666667 0.62500000 0.9375000 0.75000000 #> [24,] NA 0.00000000 1.0000000 0.00000000 #> [25,] 0.0000000 0.00000000 0.7000000 0.62500000 #> [26,] 1.0000000 0.16666667 1.0000000 0.85714286 #> [27,] 0.9230769 0.36363636 0.7500000 0.90909091 #> [28,] 0.6666667 0.12500000 0.8571429 0.87500000 #> [29,] 0.7500000 0.25000000 0.4285714 0.50000000 #> [30,] 0.0000000 0.14285714 1.0000000 0.50000000 #> [31,] 1.0000000 0.28571429 1.0000000 1.00000000 #> [32,] 0.4000000 1.00000000 0.6000000 1.00000000 #> [33,] 0.6666667 0.50000000 1.0000000 1.00000000 #> [34,] 0.1818182 0.37500000 0.7222222 0.76923077 #> [35,] 0.9090909 0.75000000 1.0000000 0.75000000 #> [36,] 0.8333333 1.00000000 0.7272727 0.69230769 #> [37,] NA 0.00000000 1.0000000 0.75000000 #> [38,] 1.0000000 0.55555556 1.0000000 1.00000000 #> [39,] 0.8750000 0.90000000 1.0000000 1.00000000 #> [40,] 0.8888889 0.75000000 1.0000000 1.00000000 #> [41,] 1.0000000 1.00000000 0.6000000 1.00000000 #> [42,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [43,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [44,] 1.0000000 0.77777778 1.0000000 1.00000000 #> [45,] 1.0000000 1.00000000 0.3333333 1.00000000 #> [46,] 0.8333333 0.45454545 0.5000000 0.75000000 #> [47,] 1.0000000 0.75000000 0.8333333 1.00000000 #> [48,] 1.0000000 1.00000000 0.8571429 0.88888889 #> [49,] 1.0000000 1.00000000 0.8571429 1.00000000 #> [50,] 1.0000000 0.87500000 1.0000000 1.00000000 #> [51,] 1.0000000 0.66666667 0.9090909 1.00000000 #> [52,] 0.6000000 0.00000000 0.5714286 0.75000000 #> [53,] 0.8888889 0.72727273 0.2500000 1.00000000 #> [54,] 1.0000000 0.60000000 1.0000000 1.00000000 #> [55,] 0.6666667 0.71428571 1.0000000 0.75000000 #> [56,] 1.0000000 0.77777778 1.0000000 0.60000000 #> [57,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [58,] 0.7142857 0.28571429 0.6666667 1.00000000 #> [59,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [60,] 1.0000000 0.60000000 1.0000000 0.71428571 #> [61,] 1.0000000 1.00000000 1.0000000 0.77777778 #> [62,] 0.6363636 0.40000000 0.8000000 0.80000000 #> [63,] 0.8750000 0.33333333 1.0000000 1.00000000 #> [64,] 1.0000000 1.00000000 0.6666667 0.88888889 #> [65,] 1.0000000 0.50000000 1.0000000 1.00000000 #> [66,] 0.8000000 0.25000000 0.7142857 0.83333333 #> [67,] 0.8888889 0.71428571 0.8888889 1.00000000 #> [68,] 0.7777778 0.50000000 0.9090909 1.00000000 #> [69,] 0.2000000 0.25000000 1.0000000 0.50000000 #> [70,] 1.0000000 0.60000000 1.0000000 0.87500000 #> [71,] 0.2857143 0.20000000 0.4285714 0.57142857 #> [72,] 0.0000000 0.33333333 0.5000000 1.00000000 #> [73,] NA 0.00000000 NA 0.75000000 #> [74,] 0.0000000 0.00000000 1.0000000 1.00000000 #> [75,] 0.2000000 0.00000000 1.0000000 1.00000000 #> [76,] 0.2000000 0.16666667 1.0000000 1.00000000 #> [77,] 0.2857143 0.28571429 1.0000000 1.00000000 #> [78,] 0.5000000 0.62500000 1.0000000 1.00000000 #> [79,] 0.7500000 0.70000000 0.3333333 0.75000000 #> [80,] 0.0000000 0.40000000 0.0000000 0.75000000 #> [81,] 0.0000000 0.37500000 0.0000000 0.83333333 #> [82,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [83,] 1.0000000 1.00000000 0.8333333 1.00000000 #> [84,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [85,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [86,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [87,] 1.0000000 0.72727273 1.0000000 1.00000000 #> [88,] 1.0000000 0.85714286 0.8000000 1.00000000 #> [89,] 0.6666667 0.60000000 0.6000000 NA #> [90,] 1.0000000 0.25000000 1.0000000 1.00000000 #> [91,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [92,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [93,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [94,] 1.0000000 0.00000000 0.3333333 NA #> [95,] 1.0000000 1.00000000 0.5000000 0.50000000 #> [96,] 1.0000000 1.00000000 1.0000000 0.75000000 #> [97,] 1.0000000 1.00000000 1.0000000 0.80000000 #> [98,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [99,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [100,] 0.5000000 1.00000000 1.0000000 0.66666667 #> [101,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [102,] 1.0000000 NA 1.0000000 NA #> [103,] 1.0000000 0.33333333 1.0000000 1.00000000 #> [104,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [105,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [106,] 1.0000000 0.75000000 1.0000000 1.00000000 #> [107,] 1.0000000 1.00000000 1.0000000 0.75000000 #> [108,] 0.7500000 1.00000000 1.0000000 1.00000000 #> [109,] 1.0000000 0.87500000 1.0000000 NA #> [110,] NA 1.00000000 1.0000000 0.66666667 #> [111,] NA 1.00000000 1.0000000 1.00000000 #> [112,] NA 1.00000000 1.0000000 1.00000000 #> [113,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [114,] 1.0000000 1.00000000 0.6666667 0.50000000 #> [115,] 0.5000000 0.50000000 1.0000000 1.00000000 #> [116,] 1.0000000 1.00000000 1.0000000 0.50000000 #> [117,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [118,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [119,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [120,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [121,] 1.0000000 0.75000000 1.0000000 1.00000000 #> [122,] 0.3750000 0.00000000 0.2000000 0.50000000 #> [123,] 1.0000000 1.00000000 0.8571429 0.60000000 #> [124,] 0.4000000 0.00000000 0.6666667 0.50000000 #> [125,] 0.8333333 0.50000000 0.0000000 0.50000000 #> [126,] 1.0000000 0.50000000 1.0000000 1.00000000 #> [127,] 0.8750000 0.50000000 0.8571429 1.00000000 #> [128,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [129,] 1.0000000 1.00000000 1.0000000 0.83333333 #> [130,] 1.0000000 0.80000000 1.0000000 0.91666667 #> [131,] 0.5000000 0.33333333 1.0000000 1.00000000 #> [132,] 1.0000000 1.00000000 0.2500000 1.00000000 #> [133,] 0.5000000 1.00000000 1.0000000 0.66666667 #> [134,] 0.7500000 0.70000000 1.0000000 0.85714286 #> [135,] 1.0000000 0.61538462 0.7500000 1.00000000 #> [136,] 1.0000000 0.85714286 1.0000000 0.85714286 #> [137,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [138,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [139,] 1.0000000 1.00000000 1.0000000 0.60000000 #> [140,] 1.0000000 1.00000000 1.0000000 0.80000000 #> [141,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [142,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [143,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [144,] 1.0000000 0.75000000 1.0000000 0.75000000 #> [145,] 0.8333333 0.83333333 1.0000000 0.75000000 #> [146,] 1.0000000 1.00000000 0.6666667 0.66666667 #> [147,] 1.0000000 1.00000000 0.7500000 1.00000000 #> [148,] 1.0000000 0.80000000 1.0000000 0.83333333 #> [149,] 0.4000000 0.85714286 0.7500000 0.81818182 #> [150,] 1.0000000 1.00000000 1.0000000 0.85714286 #> [151,] 0.8571429 0.90000000 1.0000000 1.00000000 #> [152,] 0.5000000 1.00000000 0.5000000 1.00000000 #> [153,] 0.6666667 1.00000000 1.0000000 1.00000000 #> [154,] 0.5000000 0.60000000 1.0000000 0.66666667 #> [155,] 0.8333333 0.50000000 0.5000000 0.60000000 #> [156,] 1.0000000 1.00000000 0.8181818 0.87500000 #> [157,] 1.0000000 1.00000000 0.8000000 0.85714286 #> [158,] 1.0000000 0.87500000 0.7857143 1.00000000 #> [159,] 1.0000000 1.00000000 0.7777778 1.00000000 #> [160,] 1.0000000 0.83333333 0.8461538 1.00000000 #> [161,] 1.0000000 0.80000000 0.7500000 0.88888889 #> [162,] 1.0000000 0.60000000 0.7500000 0.87500000 #> [163,] 0.7500000 0.75000000 0.8181818 0.87500000 #> [164,] 0.6666667 0.66666667 0.7500000 0.66666667 #> [165,] 1.0000000 0.20000000 1.0000000 1.00000000 #> [166,] 1.0000000 0.50000000 1.0000000 1.00000000 #> [167,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [168,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [169,] 0.6666667 0.00000000 0.2500000 0.40000000 #> [170,] 0.6666667 1.00000000 0.7500000 1.00000000 #> [171,] 0.8571429 1.00000000 0.8333333 0.00000000 #> [172,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [173,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [174,] 1.0000000 0.42857143 0.7500000 1.00000000 #> [175,] 0.6000000 0.50000000 0.7142857 1.00000000 #> [176,] 1.0000000 0.00000000 0.8750000 1.00000000 #> [177,] 1.0000000 0.71428571 1.0000000 1.00000000 #> [178,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [179,] 1.0000000 0.90909091 1.0000000 0.75000000 #> [180,] 1.0000000 0.75000000 0.6666667 0.75000000 #> [181,] 1.0000000 0.77777778 1.0000000 0.66666667 #> [182,] NA 0.60000000 1.0000000 0.50000000 #> [183,] 0.7500000 0.00000000 1.0000000 0.85714286 #> [184,] 0.5000000 0.00000000 0.0000000 0.54545455 #> [185,] 0.4000000 0.90000000 0.2000000 0.83333333 #> [186,] 0.2500000 0.88888889 0.3333333 0.50000000 #> [187,] 0.0000000 0.00000000 0.0000000 0.20000000 #> [188,] 0.6666667 0.75000000 0.2000000 0.50000000 #> [189,] 0.5000000 1.00000000 0.5000000 0.83333333 #> [190,] 0.3333333 0.83333333 0.5000000 0.60000000 #> [191,] 0.3333333 0.75000000 0.7500000 0.66666667 #> [192,] 1.0000000 NA 0.7500000 0.66666667 #> [193,] 1.0000000 1.00000000 0.7500000 1.00000000 #> [194,] 0.6666667 1.00000000 0.6666667 0.33333333 #> [195,] 0.0000000 0.50000000 0.5714286 0.40000000 #> [196,] 0.0000000 0.00000000 0.0000000 NA #> [197,] 0.6666667 0.00000000 0.2727273 0.80000000 #> [198,] NA 0.50000000 0.0000000 0.50000000 #> [199,] NA 0.66666667 0.2000000 0.50000000 #> [200,] 1.0000000 0.75000000 0.4545455 0.50000000 #> [201,] 0.0000000 0.80000000 0.4545455 0.50000000 #> [202,] 0.1428571 0.60000000 0.3750000 0.00000000 #> [203,] 0.0000000 0.22222222 0.0000000 0.00000000 #> [204,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [205,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [206,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [207,] NA 0.20000000 NA 1.00000000 #> [208,] 0.0000000 0.00000000 NA 0.00000000 #> [209,] NA 0.00000000 NA 0.00000000 #> [210,] 0.2000000 0.00000000 0.2500000 0.00000000 #> [211,] 0.3333333 0.00000000 0.0000000 0.33333333 #> [212,] 0.1428571 0.00000000 0.0000000 0.00000000 #> [213,] 0.3333333 0.00000000 0.0000000 0.00000000 #> [214,] 0.3333333 0.00000000 0.0000000 0.00000000 #> [215,] 0.2000000 0.00000000 0.0000000 0.00000000 #> [216,] 0.2500000 NA 0.0000000 0.00000000 #> [217,] 1.0000000 0.00000000 0.0000000 0.00000000 #> [218,] 1.0000000 0.00000000 0.0000000 0.00000000 #> [219,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [220,] 0.2500000 0.50000000 0.0000000 0.14285714 #> [221,] 0.2500000 0.33333333 0.0000000 0.00000000 #> [222,] 0.2500000 0.00000000 0.0000000 0.00000000 #> [223,] 0.2500000 0.50000000 0.0000000 0.08333333 #> [224,] 0.2500000 0.50000000 0.3333333 0.00000000 #> [225,] 1.0000000 0.33333333 1.0000000 0.08333333 #> [226,] 0.5000000 0.33333333 0.0000000 0.00000000 #> [227,] 0.5000000 0.50000000 0.0000000 0.00000000 #> [228,] 0.0000000 1.00000000 0.0000000 0.00000000 #> [229,] 0.5000000 0.00000000 0.0000000 0.00000000 #> [230,] 0.6666667 0.00000000 0.0000000 0.00000000 #> [231,] 0.0000000 0.00000000 NA NA #> [232,] 0.3333333 0.00000000 0.0000000 0.00000000 #> [233,] 0.5000000 0.00000000 0.0000000 0.00000000 #> [234,] NA 0.00000000 NA 0.00000000 #> [235,] NA 0.00000000 0.0000000 NA #> [236,] NA 0.00000000 0.0000000 0.00000000 #> [237,] NA NA 0.0000000 0.00000000 #> [238,] NA NA 0.0000000 NA #> [239,] NA 0.00000000 0.0000000 0.00000000 #> [240,] NA 0.00000000 0.0000000 0.00000000 #> [241,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [242,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [243,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [244,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [245,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [246,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [247,] 0.5000000 0.00000000 0.0000000 0.00000000 #> [248,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [249,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [250,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [251,] 0.0000000 NA 0.0000000 0.00000000 #> [252,] 0.0000000 NA NA 0.00000000 #> [253,] 0.0000000 NA NA 0.00000000 #> [254,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [255,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [256,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [257,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [258,] 0.2000000 0.00000000 0.0000000 0.00000000 #> [259,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [260,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [261,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [262,] 0.1428571 NA 0.0000000 0.00000000 #> [263,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [264,] NA 0.50000000 0.0000000 0.00000000 #> [265,] NA 0.00000000 0.0000000 0.00000000 #> [266,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [267,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [268,] 0.0000000 0.33333333 0.0000000 0.00000000 #> [269,] 0.0000000 0.33333333 0.0000000 0.00000000 #> [270,] 0.0000000 NA 0.0000000 0.33333333 #> [271,] 0.0000000 NA 0.0000000 0.00000000 #> [272,] 0.0000000 NA 0.0000000 0.00000000 #> [273,] 0.0000000 NA 0.0000000 0.00000000 #> [274,] 0.0000000 NA 0.0000000 0.00000000 #> [275,] 0.0000000 NA 0.0000000 0.00000000 #> [276,] NA NA 0.0000000 0.00000000 #> [277,] NA NA 0.0000000 0.00000000 #> [278,] NA 0.00000000 0.0000000 NA #> [279,] 0.0000000 0.50000000 0.0000000 NA #> [280,] 0.0000000 0.20000000 NA 0.00000000 #> [281,] 0.0000000 0.00000000 NA 0.00000000 #> [282,] 0.2500000 0.40000000 0.0000000 0.00000000 #> [283,] 0.2000000 0.16666667 0.0000000 0.00000000 #> [284,] 0.4000000 0.00000000 0.0000000 0.00000000 #> [285,] 0.2500000 0.00000000 0.0000000 0.00000000 #> [286,] 0.2000000 0.00000000 0.0000000 0.00000000 #> [287,] 0.0000000 1.00000000 0.0000000 0.00000000 #> [288,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [289,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [290,] 1.0000000 NA 0.0000000 0.00000000 #> [291,] 1.0000000 0.00000000 0.0000000 0.00000000 #> [292,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [293,] 1.0000000 1.00000000 0.0000000 0.00000000 #> [294,] 0.5000000 0.00000000 0.0000000 0.00000000 #> [295,] 0.5000000 0.00000000 0.0000000 0.00000000 #> [296,] 0.0000000 0.33333333 NA 0.00000000 #> [297,] 0.0000000 0.00000000 NA NA #> [298,] NA 0.00000000 NA 0.00000000 #> [299,] 1.0000000 NA 0.0000000 0.00000000 #> [300,] 0.0000000 NA 0.0000000 0.00000000 #> [301,] 0.5000000 0.00000000 0.0000000 0.00000000 #> [302,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [303,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [304,] 0.0000000 0.00000000 0.0000000 0.50000000 #> [305,] 0.5000000 0.00000000 0.0000000 NA #> [306,] 0.6666667 0.25000000 0.0000000 0.00000000 #> [307,] 0.6666667 0.25000000 0.0000000 0.00000000 #> [308,] 1.0000000 0.66666667 0.0000000 0.00000000 #> [309,] 1.0000000 0.66666667 0.0000000 0.00000000 #> [310,] 1.0000000 0.66666667 0.0000000 0.00000000 #> [311,] 1.0000000 1.00000000 0.0000000 0.00000000 #> [312,] NA 1.00000000 0.0000000 0.00000000 #> [313,] NA 0.50000000 0.0000000 0.33333333 #> [314,] NA NA 0.0000000 0.00000000 #> [315,] NA NA 0.0000000 0.00000000 #> [316,] NA NA 0.0000000 0.00000000 #> [317,] 0.0000000 NA 0.0000000 0.16666667 #> [318,] 0.0000000 1.00000000 0.0000000 0.00000000 #> [319,] 0.0000000 1.00000000 0.0000000 0.00000000 #> [320,] 0.4000000 1.00000000 0.0000000 0.00000000 #> [321,] 0.5000000 1.00000000 1.0000000 0.00000000 #> [322,] 0.6666667 NA 0.0000000 0.00000000 #> [323,] 0.5000000 NA NA 0.00000000 #> [324,] 0.0000000 NA NA 0.00000000 #> [325,] 1.0000000 NA NA 0.00000000 #> [326,] 1.0000000 NA NA 0.00000000 #> [327,] 1.0000000 NA 0.0000000 0.00000000 #> [328,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [329,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [330,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [331,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [332,] 0.0000000 0.00000000 0.5000000 0.00000000 #> [333,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [334,] 1.0000000 0.00000000 0.0000000 0.00000000 #> [335,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [336,] NA 0.00000000 0.5000000 0.00000000 #> [337,] 1.0000000 0.50000000 0.0000000 0.25000000 #> [338,] 1.0000000 1.00000000 0.0000000 0.25000000 #> [339,] 1.0000000 1.00000000 0.2000000 0.12500000 #> [340,] 1.0000000 0.33333333 0.2500000 0.50000000 #> [341,] 1.0000000 0.33333333 0.0000000 0.75000000 #> [342,] 0.6666667 0.33333333 0.0000000 0.25000000 #> [343,] 0.5000000 0.00000000 NA 0.00000000 #> [344,] 0.7500000 0.00000000 0.0000000 0.00000000 #> [345,] 0.2500000 0.00000000 0.0000000 0.00000000 #> [346,] 0.3333333 0.00000000 0.0000000 0.00000000 #> [347,] 0.3333333 0.50000000 0.0000000 0.00000000 #> [348,] 0.3333333 0.25000000 0.0000000 0.00000000 #> [349,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [350,] 0.6666667 1.00000000 0.0000000 0.00000000 #> [351,] 0.6666667 1.00000000 0.0000000 0.00000000 #> [352,] 0.5000000 0.60000000 0.0000000 0.00000000 #> [353,] 0.3333333 0.83333333 0.0000000 0.00000000 #> [354,] 0.8181818 0.85714286 0.0000000 0.00000000 #> [355,] 0.9000000 1.00000000 0.0000000 0.00000000 #> [356,] 0.8888889 1.00000000 0.0000000 0.00000000 #> [357,] 0.5454545 0.50000000 0.1111111 0.00000000 #> [358,] 0.5454545 0.66666667 0.1666667 0.00000000 #> [359,] 0.7500000 0.33333333 0.3333333 0.33333333 #> [360,] 0.3333333 0.66666667 0.1428571 0.00000000 #> [361,] 0.3333333 0.50000000 0.1428571 0.00000000 #> [362,] 1.0000000 0.66666667 0.1250000 0.60000000 #> [363,] 0.8333333 0.66666667 0.0000000 0.25000000 #> [364,] 0.7500000 0.55555556 0.0000000 0.25000000 #> [365,] 0.7500000 0.50000000 0.0000000 0.25000000 #> [366,] 0.6666667 0.11111111 0.0000000 0.00000000 #> [367,] NA 1.00000000 0.0000000 0.00000000 #> [368,] NA 1.00000000 0.0000000 0.25000000 #> [369,] NA 1.00000000 0.3333333 0.20000000 #> [370,] NA 1.00000000 0.0000000 0.20000000 #> [371,] 0.5000000 0.50000000 0.4285714 0.12500000 #> [372,] NA 1.00000000 0.3333333 0.00000000 #> [373,] NA 0.50000000 0.6666667 0.00000000 #> [374,] NA NA 0.6666667 0.00000000 #> [375,] NA NA NA 1.00000000 #> [376,] NA NA NA 1.00000000 #> [377,] NA NA 0.0000000 NA #> [378,] NA NA NA 0.00000000 #> [379,] 0.0000000 0.33333333 0.2000000 0.00000000 #> [380,] 0.0000000 0.14285714 0.4000000 0.20000000 #> [381,] 0.0000000 0.30769231 0.2000000 0.00000000 #> [382,] 0.0000000 0.18750000 0.0000000 0.08333333 #> [383,] 0.0000000 0.73333333 0.1666667 0.22222222 #> [384,] 0.1428571 0.83333333 0.4285714 0.20000000 #> [385,] 0.1666667 0.90000000 0.2500000 0.00000000 #> [386,] 0.4285714 1.00000000 0.3333333 0.00000000 #> [387,] 0.0000000 0.42857143 0.6000000 0.00000000 #> [388,] 0.1666667 0.50000000 0.5000000 0.07692308 #> [389,] 0.1428571 0.28571429 0.0000000 0.00000000 #> [390,] 0.1000000 0.14285714 0.4444444 0.14285714 #> [391,] 0.0000000 0.66666667 0.2000000 0.33333333 #> [392,] 0.2500000 0.66666667 0.2000000 0.12500000 #> [393,] 0.3333333 0.00000000 0.2222222 0.75000000 #> [394,] 0.2500000 0.00000000 0.2307692 1.00000000 #> [395,] 0.0000000 0.14285714 0.2000000 0.00000000 #> [396,] 0.0000000 0.14285714 0.4000000 0.00000000 #> [397,] 0.0000000 0.11111111 0.4615385 0.00000000 #> [398,] 1.0000000 0.66666667 1.0000000 1.00000000 #> [399,] 0.7500000 0.66666667 0.8750000 0.55555556 #> [400,] 0.4000000 1.00000000 1.0000000 0.50000000 #> [401,] 1.0000000 1.00000000 1.0000000 0.40000000 #> [402,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [403,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [404,] 0.8571429 0.83333333 0.8888889 1.00000000 #> [405,] 1.0000000 1.00000000 0.0000000 0.66666667 #> [406,] 0.0000000 0.11111111 0.5000000 0.66666667 #> [407,] 0.0000000 0.50000000 0.7500000 0.33333333 #> [408,] 0.0000000 0.27272727 0.2000000 0.41666667 #> [409,] 0.4000000 0.00000000 0.2500000 0.75000000 #> [410,] 0.5000000 0.50000000 0.8333333 1.00000000 #> [411,] 0.0000000 1.00000000 0.0000000 0.77777778 #> [412,] 1.0000000 0.75000000 0.8571429 1.00000000 #> [413,] 1.0000000 0.60000000 1.0000000 0.75000000 #> [414,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [415,] 1.0000000 1.00000000 0.0000000 1.00000000 #> [416,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [417,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [418,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [419,] 0.0000000 0.33333333 0.5000000 0.66666667 #> [420,] 0.7500000 0.22222222 0.9166667 0.25000000 #> [421,] 1.0000000 0.27272727 0.7777778 0.90000000 #> [422,] 0.2500000 0.54545455 0.5714286 1.00000000 #> [423,] 0.0000000 0.66666667 0.5000000 1.00000000 #> [424,] 0.0000000 0.37500000 0.0000000 0.00000000 #> [425,] 0.2000000 0.28571429 0.4285714 0.00000000 #> [426,] 0.2500000 0.11111111 0.3636364 0.20000000 #> [427,] 0.0000000 0.10000000 0.5000000 0.63636364 #> [428,] 0.5000000 0.46153846 0.7857143 0.62500000 #> [429,] 0.8000000 0.30000000 0.8750000 0.87500000 #> [430,] 0.8000000 0.00000000 0.6666667 1.00000000 #> [431,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [432,] 1.0000000 1.00000000 1.0000000 0.80000000 #> [433,] 0.7500000 0.88888889 1.0000000 1.00000000 #> [434,] 0.0000000 0.66666667 NA 0.60000000 #> [435,] 0.6000000 0.25000000 0.6000000 0.75000000 #> [436,] 1.0000000 0.66666667 1.0000000 1.00000000 #> [437,] 0.0000000 0.00000000 1.0000000 0.90909091 #> [438,] 0.5000000 0.33333333 1.0000000 1.00000000 #> [439,] 0.7500000 0.25000000 1.0000000 0.66666667 #> [440,] 0.2500000 0.66666667 0.5000000 0.75000000 #> [441,] 0.6000000 0.33333333 0.0000000 0.80000000 #> [442,] 1.0000000 0.16666667 0.7500000 1.00000000 #> [443,] 1.0000000 0.20000000 1.0000000 1.00000000 #> [444,] 0.5000000 0.81818182 1.0000000 0.63636364 #> [445,] 1.0000000 0.88888889 1.0000000 1.00000000 #> [446,] 0.5000000 0.36363636 1.0000000 0.62500000 #> [447,] 0.8000000 0.44444444 1.0000000 1.00000000 #> [448,] 0.6666667 0.09090909 1.0000000 1.00000000 #> [449,] 0.2500000 0.20000000 0.6666667 0.66666667 #> [450,] 0.1428571 0.20000000 0.8000000 0.60000000 #> [451,] 0.5000000 0.77777778 1.0000000 1.00000000 #> [452,] 1.0000000 1.00000000 1.0000000 0.75000000 #> [453,] 1.0000000 0.87500000 1.0000000 1.00000000 #> [454,] NA 0.75000000 0.7500000 0.66666667 #> [455,] NA 1.00000000 0.6666667 0.80000000 #> [456,] 0.5000000 0.75000000 0.6250000 0.83333333 #> [457,] 1.0000000 0.44444444 0.8571429 0.81818182 #> [458,] 1.0000000 1.00000000 0.9166667 1.00000000 #> [459,] 0.7272727 0.20000000 0.8000000 0.80000000 #> [460,] 0.1666667 0.16666667 0.2500000 0.25000000 #> [461,] 0.5000000 0.25000000 1.0000000 0.75000000 #> [462,] 0.8000000 0.00000000 1.0000000 0.75000000 #> [463,] 1.0000000 1.00000000 0.6666667 1.00000000 #> [464,] 0.0000000 0.00000000 0.0000000 0.00000000 #> [465,] 1.0000000 0.50000000 0.0000000 NA #> [466,] 0.0000000 0.33333333 0.0000000 0.00000000 #> [467,] 0.0000000 0.00000000 0.0000000 1.00000000 #> [468,] 0.0000000 0.25000000 0.2857143 0.00000000 #> [469,] 0.3333333 0.00000000 1.0000000 1.00000000 #> [470,] 1.0000000 0.80000000 1.0000000 NA #> [471,] 1.0000000 0.83333333 1.0000000 NA #> [472,] 1.0000000 0.16666667 1.0000000 0.50000000 #> [473,] 0.1250000 0.22222222 0.2857143 0.66666667 #> [474,] 0.1428571 0.30000000 0.3750000 0.66666667 #> [475,] 0.3000000 0.00000000 0.4285714 1.00000000 #> [476,] 0.1000000 0.00000000 0.5000000 0.90000000 #> [477,] 0.2727273 0.20000000 0.6666667 0.60000000 #> [478,] 0.3333333 0.00000000 1.0000000 1.00000000 #> [479,] 0.5000000 0.00000000 1.0000000 1.00000000 #> [480,] 1.0000000 0.00000000 0.6666667 1.00000000 #> [481,] 0.2500000 0.00000000 0.2500000 0.50000000 #> [482,] 1.0000000 0.33333333 1.0000000 0.87500000 #> [483,] 1.0000000 0.25000000 1.0000000 1.00000000 #> [484,] 0.9285714 0.50000000 0.7777778 1.00000000 #> [485,] 1.0000000 0.28571429 0.7142857 0.88888889 #> [486,] 1.0000000 0.50000000 1.0000000 0.85714286 #> [487,] 0.1428571 0.25000000 0.8571429 0.75000000 #> [488,] 0.9090909 0.00000000 1.0000000 0.90000000 #> [489,] 0.8571429 0.80000000 0.7142857 1.00000000 #> [490,] 1.0000000 0.33333333 0.7500000 0.66666667 #> [491,] 0.2500000 0.00000000 0.5000000 0.00000000 #> [492,] 1.0000000 0.81818182 0.9166667 1.00000000 #> [493,] 1.0000000 0.90000000 0.7777778 1.00000000 #> [494,] 1.0000000 0.09090909 0.5714286 0.85714286 #> [495,] 0.7142857 0.62500000 1.0000000 1.00000000 #> [496,] 0.8888889 0.66666667 1.0000000 1.00000000 #> [497,] 0.7500000 0.85714286 0.7500000 1.00000000 #> [498,] 0.8750000 0.60000000 1.0000000 0.88888889 #> [499,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [500,] 1.0000000 0.00000000 0.7500000 1.00000000 #> [501,] 0.4000000 0.00000000 1.0000000 0.50000000 #> [502,] 0.1428571 0.16666667 1.0000000 0.40000000 #> [503,] 0.4285714 0.42857143 0.8181818 1.00000000 #> [504,] 0.5714286 0.75000000 1.0000000 1.00000000 #> [505,] 0.0000000 0.00000000 0.5000000 0.50000000 #> [506,] 0.7272727 0.66666667 0.8333333 0.57142857 #> [507,] 0.7500000 0.71428571 0.8333333 0.88888889 #> [508,] 0.6363636 1.00000000 0.8000000 0.83333333 #> [509,] 0.7500000 0.85714286 0.8750000 0.60000000 #> [510,] 0.4285714 0.00000000 0.7142857 1.00000000 #> [511,] 1.0000000 0.83333333 0.8571429 1.00000000 #> [512,] 0.1666667 0.50000000 0.5000000 1.00000000 #> [513,] 0.3333333 0.66666667 1.0000000 0.80000000 #> [514,] 0.6666667 0.80000000 1.0000000 1.00000000 #> [515,] 1.0000000 1.00000000 0.5000000 1.00000000 #> [516,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [517,] 1.0000000 1.00000000 0.8571429 1.00000000 #> [518,] 1.0000000 0.00000000 1.0000000 1.00000000 #> [519,] 0.0000000 0.50000000 1.0000000 0.75000000 #> [520,] 0.0000000 0.00000000 NA 0.50000000 #> [521,] 0.8333333 0.22222222 0.9090909 0.92307692 #> [522,] 0.0000000 0.25000000 0.0000000 0.57142857 #> [523,] 0.0000000 0.00000000 NA 0.66666667 #> [524,] 0.4285714 0.40000000 0.8888889 0.50000000 #> [525,] 0.6250000 0.30000000 0.5000000 0.16666667 #> [526,] 0.0000000 0.00000000 0.6666667 0.57142857 #> [527,] 0.0000000 0.00000000 0.0000000 0.06250000 #> [528,] 0.2857143 0.25000000 0.6666667 0.80000000 #> [529,] 0.0000000 0.00000000 0.4000000 1.00000000 #> [530,] 0.8888889 0.42857143 0.6666667 1.00000000 #> [531,] 1.0000000 0.66666667 0.0000000 1.00000000 #> [532,] 0.3333333 0.50000000 1.0000000 0.33333333 #> [533,] 0.6666667 1.00000000 0.6666667 1.00000000 #> [534,] 0.7500000 0.50000000 0.5000000 1.00000000 #> [535,] 0.0000000 1.00000000 0.0000000 NA #> [536,] 0.0000000 0.00000000 0.0000000 NA #> [537,] 1.0000000 0.16666667 0.6000000 1.00000000 #> [538,] 0.6000000 0.00000000 0.6666667 0.00000000 #> [539,] 0.5714286 0.75000000 0.8571429 1.00000000 #> [540,] 0.5714286 0.75000000 0.8571429 1.00000000 #> [541,] NA 0.00000000 NA 1.00000000 #> [542,] 0.4285714 0.75000000 0.1250000 0.60000000 #> [543,] 0.3750000 0.63636364 0.7500000 0.50000000 #> [544,] 1.0000000 0.90909091 0.8000000 1.00000000 #> [545,] 1.0000000 0.92307692 1.0000000 1.00000000 #> [546,] 1.0000000 0.33333333 1.0000000 1.00000000 #> [547,] 1.0000000 NA NA NA #> [548,] 0.0000000 NA NA NA #> [549,] 0.0000000 NA NA NA #> [550,] NA NA 0.0000000 NA #> [551,] NA NA 1.0000000 NA #> [552,] NA NA 1.0000000 NA #> [553,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [554,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [555,] 1.0000000 1.00000000 1.0000000 NA #> [556,] NA 1.00000000 NA NA #> [557,] 0.0000000 NA 1.0000000 1.00000000 #> [558,] 1.0000000 NA 1.0000000 1.00000000 #> [559,] 1.0000000 0.80000000 1.0000000 1.00000000 #> [560,] 1.0000000 1.00000000 1.0000000 0.87500000 #> [561,] 1.0000000 1.00000000 0.8750000 1.00000000 #> [562,] 1.0000000 1.00000000 0.9166667 1.00000000 #> [563,] 0.6666667 0.00000000 1.0000000 NA #> [564,] NA 1.00000000 NA NA #> [565,] NA 1.00000000 NA NA #> [566,] 1.0000000 1.00000000 NA NA #> [567,] 0.5714286 0.50000000 0.0000000 1.00000000 #> [568,] 0.5000000 0.22222222 0.5000000 1.00000000 #> [569,] 0.6666667 0.25000000 0.4000000 0.75000000 #> [570,] 1.0000000 0.18181818 1.0000000 1.00000000 #> [571,] 0.7272727 0.11111111 0.9166667 0.37500000 #> [572,] 0.2000000 0.33333333 1.0000000 1.00000000 #> [573,] 0.1250000 0.33333333 0.9285714 NA #> [574,] 0.0000000 0.20000000 0.8000000 1.00000000 #> [575,] 0.0000000 0.31250000 0.8333333 1.00000000 #> [576,] 0.6666667 0.41666667 0.6666667 0.90909091 #> [577,] 0.5000000 0.12500000 0.5333333 0.88888889 #> [578,] 0.7142857 0.87500000 1.0000000 0.75000000 #> [579,] 1.0000000 0.90909091 1.0000000 1.00000000 #> [580,] NA 0.00000000 NA NA #> [581,] NA 1.00000000 NA NA #> [582,] 1.0000000 NA NA 0.00000000 #> [583,] 1.0000000 NA NA NA #> [584,] NA 0.00000000 NA NA #> [585,] 0.5000000 1.00000000 0.0000000 0.50000000 #> [586,] 1.0000000 0.00000000 0.2500000 0.42857143 #> [587,] 1.0000000 0.75000000 0.5000000 1.00000000 #> [588,] NA 1.00000000 1.0000000 1.00000000 #> [589,] 0.6000000 0.60000000 0.5000000 0.60000000 #> [590,] 0.6000000 0.16666667 0.5000000 0.53846154 #> [591,] 0.8000000 0.25000000 0.5000000 0.80000000 #> [592,] 0.5000000 0.66666667 0.7777778 1.00000000 #> [593,] 0.1428571 0.33333333 0.5833333 1.00000000 #> [594,] 1.0000000 0.83333333 0.8000000 0.57142857 #> [595,] 1.0000000 0.66666667 0.8000000 1.00000000 #> [596,] NA 1.00000000 0.8888889 1.00000000 #> [597,] NA 1.00000000 0.8888889 0.87500000 #> [598,] 1.0000000 0.60000000 1.0000000 1.00000000 #> [599,] 0.2500000 0.00000000 0.8000000 0.66666667 #> [600,] 1.0000000 1.00000000 0.7142857 0.80000000 #> [601,] 1.0000000 0.60000000 0.6666667 0.80000000 #> [602,] 1.0000000 0.45454545 1.0000000 1.00000000 #> [603,] 1.0000000 0.54545455 1.0000000 1.00000000 #> [604,] 1.0000000 0.66666667 0.7500000 1.00000000 #> [605,] NA 0.50000000 0.6666667 0.33333333 #> [606,] 0.5000000 0.80000000 0.8000000 0.25000000 #> [607,] 1.0000000 0.33333333 1.0000000 0.66666667 #> [608,] 0.6000000 1.00000000 1.0000000 0.87500000 #> [609,] NA 0.00000000 1.0000000 0.60000000 #> [610,] 0.2000000 1.00000000 1.0000000 0.33333333 #> [611,] 1.0000000 1.00000000 1.0000000 0.85714286 #> [612,] 1.0000000 0.50000000 0.8000000 0.60000000 #> [613,] 0.5000000 0.25000000 0.8000000 0.88888889 #> [614,] 1.0000000 1.00000000 0.8750000 1.00000000 #> [615,] 0.8750000 1.00000000 1.0000000 1.00000000 #> [616,] 0.6666667 0.80000000 1.0000000 1.00000000 #> [617,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [618,] 0.0000000 1.00000000 1.0000000 1.00000000 #> [619,] 1.0000000 1.00000000 1.0000000 0.87500000 #> [620,] 0.6666667 0.16666667 0.8571429 1.00000000 #> [621,] 1.0000000 0.00000000 0.2500000 0.50000000 #> [622,] 0.4000000 0.12500000 0.8333333 0.33333333 #> [623,] 1.0000000 0.20000000 0.6000000 0.50000000 #> [624,] 1.0000000 0.45454545 1.0000000 0.80000000 #> [625,] 0.0000000 0.16666667 0.2000000 0.33333333 #> [626,] 0.7500000 0.30000000 0.7142857 0.80000000 #> [627,] 1.0000000 0.42857143 1.0000000 0.83333333 #> [628,] 0.8750000 0.66666667 0.8571429 0.80000000 #> [629,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [630,] 1.0000000 0.60000000 1.0000000 1.00000000 #> [631,] 0.6666667 0.60000000 0.8333333 0.66666667 #> [632,] 1.0000000 1.00000000 0.9000000 1.00000000 #> [633,] 0.8333333 0.66666667 1.0000000 0.71428571 #> [634,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [635,] 0.6000000 0.00000000 0.6666667 0.75000000 #> [636,] 0.0000000 0.00000000 0.0000000 0.25000000 #> [637,] 0.5000000 0.00000000 1.0000000 0.63636364 #> [638,] 0.3333333 0.00000000 0.5000000 0.50000000 #> [639,] NA 0.00000000 0.6666667 1.00000000 #> [640,] 1.0000000 0.66666667 0.6666667 0.71428571 #> [641,] 1.0000000 0.50000000 0.6666667 0.33333333 #> [642,] 0.6666667 0.66666667 0.8571429 0.83333333 #> [643,] 0.8000000 0.81818182 0.8750000 0.83333333 #> [644,] 0.8571429 1.00000000 1.0000000 1.00000000 #> [645,] 0.5000000 0.00000000 1.0000000 0.71428571 #> [646,] 0.6666667 NA 1.0000000 0.71428571 #> [647,] 0.5000000 1.00000000 1.0000000 0.85714286 #> [648,] 0.0000000 0.66666667 0.7500000 0.87500000 #> [649,] 0.5000000 0.22222222 1.0000000 1.00000000 #> [650,] 0.5000000 0.50000000 1.0000000 1.00000000 #> [651,] 0.6000000 0.33333333 0.6666667 1.00000000 #> [652,] 0.9000000 0.80000000 0.8333333 0.90909091 #> [653,] 1.0000000 1.00000000 0.9000000 1.00000000 #> [654,] 1.0000000 1.00000000 1.0000000 0.71428571 #> [655,] 0.2500000 1.00000000 1.0000000 0.90000000 #> [656,] 0.6666667 1.00000000 1.0000000 1.00000000 #> [657,] 0.2000000 0.37500000 0.8333333 0.83333333 #> [658,] 1.0000000 0.33333333 1.0000000 0.77777778 #> [659,] 0.7500000 1.00000000 1.0000000 1.00000000 #> [660,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [661,] NA 1.00000000 1.0000000 0.75000000 #> [662,] 0.5714286 0.14285714 0.9000000 0.77777778 #> [663,] 0.5000000 0.00000000 0.5000000 0.66666667 #> [664,] 0.8000000 0.25000000 1.0000000 1.00000000 #> [665,] 0.7692308 0.12500000 1.0000000 0.85714286 #> [666,] 0.4615385 0.37500000 1.0000000 0.85714286 #> [667,] 0.8000000 0.85714286 0.8333333 0.85714286 #> [668,] 0.7500000 0.66666667 0.5714286 1.00000000 #> [669,] NA 0.00000000 1.0000000 1.00000000 #> [670,] 0.4444444 0.66666667 1.0000000 1.00000000 #> [671,] 0.0000000 0.00000000 0.7500000 1.00000000 #> [672,] 0.0000000 0.00000000 0.8750000 0.88888889 #> [673,] 1.0000000 0.33333333 1.0000000 1.00000000 #> [674,] 0.6000000 0.20000000 1.0000000 1.00000000 #> [675,] 0.5000000 0.18181818 1.0000000 1.00000000 #> [676,] 0.4000000 0.14285714 1.0000000 0.80000000 #> [677,] NA 0.75000000 0.5000000 1.00000000 #> [678,] 1.0000000 0.60000000 0.5000000 0.71428571 #> [679,] 1.0000000 0.33333333 0.6666667 1.00000000 #> [680,] 0.3333333 0.33333333 0.5000000 0.83333333 #> [681,] 0.5000000 0.25000000 1.0000000 1.00000000 #> [682,] 0.6666667 0.20000000 1.0000000 1.00000000 #> [683,] 0.6666667 1.00000000 1.0000000 1.00000000 #> [684,] 0.5000000 0.33333333 0.5000000 0.87500000 #> [685,] 1.0000000 1.00000000 0.7500000 1.00000000 #> [686,] 0.8888889 1.00000000 1.0000000 1.00000000 #> [687,] 0.2000000 0.25000000 0.6666667 1.00000000 #> [688,] 0.6000000 0.33333333 0.6666667 0.75000000 #> [689,] 0.7500000 0.50000000 0.8333333 0.87500000 #> [690,] 0.6000000 0.66666667 0.7000000 0.90000000 #> [691,] 0.6000000 0.00000000 1.0000000 0.80000000 #> [692,] 0.5000000 0.37500000 1.0000000 1.00000000 #> [693,] 1.0000000 0.50000000 1.0000000 1.00000000 #> [694,] 1.0000000 NA 1.0000000 1.00000000 #> [695,] 0.4285714 1.00000000 1.0000000 1.00000000 #> [696,] 0.6666667 0.50000000 1.0000000 1.00000000 #> [697,] 0.5000000 0.00000000 0.9000000 0.83333333 #> [698,] 1.0000000 0.28571429 1.0000000 1.00000000 #> [699,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [700,] 1.0000000 0.66666667 1.0000000 1.00000000 #> [701,] 1.0000000 1.00000000 0.5000000 1.00000000 #> [702,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [703,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [704,] 1.0000000 0.50000000 0.8888889 1.00000000 #> [705,] 1.0000000 1.00000000 0.8571429 1.00000000 #> [706,] 0.8333333 1.00000000 1.0000000 0.33333333 #> [707,] 0.7500000 0.25000000 0.5000000 1.00000000 #> [708,] 1.0000000 NA 0.5000000 1.00000000 #> [709,] 0.5000000 NA 1.0000000 1.00000000 #> [710,] 1.0000000 1.00000000 1.0000000 NA #> [711,] 1.0000000 0.66666667 0.7500000 NA #> [712,] 1.0000000 0.75000000 1.0000000 NA #> [713,] 0.7500000 0.14285714 0.8888889 1.00000000 #> [714,] 0.8888889 1.00000000 0.6666667 1.00000000 #> [715,] 0.8461538 0.83333333 0.8000000 0.20000000 #> [716,] 0.5454545 0.00000000 1.0000000 0.50000000 #> [717,] 1.0000000 0.83333333 1.0000000 0.76923077 #> [718,] 1.0000000 0.00000000 1.0000000 1.00000000 #> [719,] 1.0000000 0.00000000 1.0000000 1.00000000 #> [720,] 1.0000000 1.00000000 1.0000000 0.62500000 #> [721,] 0.8333333 0.00000000 1.0000000 0.37500000 #> [722,] NA NA 1.0000000 NA #> [723,] NA NA NA 1.00000000 #> [724,] NA NA NA 1.00000000 #> [725,] 1.0000000 NA NA NA #> [726,] 0.0000000 NA NA NA #> [727,] 1.0000000 1.00000000 1.0000000 0.00000000 #> [728,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [729,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [730,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [731,] 1.0000000 0.80000000 1.0000000 1.00000000 #> [732,] 1.0000000 0.75000000 1.0000000 1.00000000 #> [733,] 1.0000000 0.71428571 0.8333333 1.00000000 #> [734,] 1.0000000 1.00000000 0.8000000 1.00000000 #> [735,] 1.0000000 0.75000000 1.0000000 1.00000000 #> [736,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [737,] 1.0000000 0.77777778 0.9230769 1.00000000 #> [738,] 1.0000000 1.00000000 1.0000000 1.00000000 #> [739,] 1.0000000 0.71428571 0.8571429 1.00000000 #> [740,] 1.0000000 0.42857143 1.0000000 1.00000000 #> [741,] 0.6666667 0.16666667 0.8750000 1.00000000 #> [742,] 0.3333333 0.12500000 1.0000000 0.60000000 #> [743,] 1.0000000 0.60000000 1.0000000 1.00000000#Get methylation matrix along with loci get_matrix(m = methrix_data, type = 'M', add_loci = TRUE)#> chr start strand C1 C2 N1 N2 #> 1: chr21 27866423 * 0.1538462 0.2857143 0.5555556 0.300 #> 2: chr21 27866575 * NA 0.5000000 0.0000000 NA #> 3: chr21 27866921 * 0.5555556 0.7000000 0.3333333 0.800 #> 4: chr21 27867197 * 0.1818182 0.2500000 0.5833333 0.250 #> 5: chr21 27867248 * 0.6666667 1.0000000 0.8823529 0.875 #> --- #> 739: chr22 49007313 * 1.0000000 0.7142857 0.8571429 1.000 #> 740: chr22 49007329 * 1.0000000 0.4285714 1.0000000 1.000 #> 741: chr22 49007347 * 0.6666667 0.1666667 0.8750000 1.000 #> 742: chr22 49007375 * 0.3333333 0.1250000 1.0000000 0.600 #> 743: chr22 49007398 * 1.0000000 0.6000000 1.0000000 1.000#' #Get methylation data as a GRanges object get_matrix(m = methrix_data, type = 'M', add_loci = TRUE, in_granges=TRUE)#> GRanges object with 743 ranges and 4 metadata columns: #> seqnames ranges strand | C1 C2 N1 #> <Rle> <IRanges> <Rle> | <numeric> <numeric> <numeric> #> [1] chr21 27866423-27866424 * | 0.153846 0.285714 0.555556 #> [2] chr21 27866575-27866576 * | NA 0.500000 0.000000 #> [3] chr21 27866921-27866922 * | 0.555556 0.700000 0.333333 #> [4] chr21 27867197-27867198 * | 0.181818 0.250000 0.583333 #> [5] chr21 27867248-27867249 * | 0.666667 1.000000 0.882353 #> ... ... ... ... . ... ... ... #> [739] chr22 49007313-49007314 * | 1.000000 0.714286 0.857143 #> [740] chr22 49007329-49007330 * | 1.000000 0.428571 1.000000 #> [741] chr22 49007347-49007348 * | 0.666667 0.166667 0.875000 #> [742] chr22 49007375-49007376 * | 0.333333 0.125000 1.000000 #> [743] chr22 49007398-49007399 * | 1.000000 0.600000 1.000000 #> N2 #> <numeric> #> [1] 0.300 #> [2] NA #> [3] 0.800 #> [4] 0.250 #> [5] 0.875 #> ... ... #> [739] 1.0 #> [740] 1.0 #> [741] 1.0 #> [742] 0.6 #> [743] 1.0 #> ------- #> seqinfo: 2 sequences from an unspecified genome; no seqlengths