Create a table for unique values of posterior draws. This is usually only useful when summarizing predictions of ordinal models.
Value
A matrix where rows indicate parameters and columns indicate the unique values of posterior draws.
Examples
# \dontrun{
fit <- brm(rating ~ period + carry + treat,
data = inhaler, family = cumulative())
#> Compiling Stan program...
#> Start sampling
#>
#> SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
#> Chain 1:
#> Chain 1: Gradient evaluation took 4e-05 seconds
#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.4 seconds.
#> Chain 1: Adjust your expectations accordingly!
#> Chain 1:
#> Chain 1:
#> Chain 1: Iteration: 1 / 2000 [ 0%] (Warmup)
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#> Chain 1: Iteration: 2000 / 2000 [100%] (Sampling)
#> Chain 1:
#> Chain 1: Elapsed Time: 0.283 seconds (Warm-up)
#> Chain 1: 0.262 seconds (Sampling)
#> Chain 1: 0.545 seconds (Total)
#> Chain 1:
#>
#> SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
#> Chain 2:
#> Chain 2: Gradient evaluation took 3.7e-05 seconds
#> Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.37 seconds.
#> Chain 2: Adjust your expectations accordingly!
#> Chain 2:
#> Chain 2:
#> Chain 2: Iteration: 1 / 2000 [ 0%] (Warmup)
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#> Chain 2: Iteration: 2000 / 2000 [100%] (Sampling)
#> Chain 2:
#> Chain 2: Elapsed Time: 0.279 seconds (Warm-up)
#> Chain 2: 0.255 seconds (Sampling)
#> Chain 2: 0.534 seconds (Total)
#> Chain 2:
#>
#> SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3).
#> Chain 3:
#> Chain 3: Gradient evaluation took 4.6e-05 seconds
#> Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.46 seconds.
#> Chain 3: Adjust your expectations accordingly!
#> Chain 3:
#> Chain 3:
#> Chain 3: Iteration: 1 / 2000 [ 0%] (Warmup)
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#> Chain 3:
#> Chain 3: Elapsed Time: 0.289 seconds (Warm-up)
#> Chain 3: 0.279 seconds (Sampling)
#> Chain 3: 0.568 seconds (Total)
#> Chain 3:
#>
#> SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4).
#> Chain 4:
#> Chain 4: Gradient evaluation took 3.6e-05 seconds
#> Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.36 seconds.
#> Chain 4: Adjust your expectations accordingly!
#> Chain 4:
#> Chain 4:
#> Chain 4: Iteration: 1 / 2000 [ 0%] (Warmup)
#> Chain 4: Iteration: 200 / 2000 [ 10%] (Warmup)
#> Chain 4: Iteration: 400 / 2000 [ 20%] (Warmup)
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#> Chain 4: Iteration: 1001 / 2000 [ 50%] (Sampling)
#> Chain 4: Iteration: 1200 / 2000 [ 60%] (Sampling)
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#> Chain 4: Iteration: 1800 / 2000 [ 90%] (Sampling)
#> Chain 4: Iteration: 2000 / 2000 [100%] (Sampling)
#> Chain 4:
#> Chain 4: Elapsed Time: 0.287 seconds (Warm-up)
#> Chain 4: 0.259 seconds (Sampling)
#> Chain 4: 0.546 seconds (Total)
#> Chain 4:
pr <- predict(fit, summary = FALSE)
posterior_table(pr)
#> P(Y = 1) P(Y = 2) P(Y = 3) P(Y = 4)
#> [1,] 0.68825 0.28400 0.02025 0.00750
#> [2,] 0.71525 0.25325 0.02225 0.00925
#> [3,] 0.70100 0.26950 0.01925 0.01025
#> [4,] 0.69150 0.27625 0.01925 0.01300
#> [5,] 0.69750 0.27225 0.01950 0.01075
#> [6,] 0.70050 0.26575 0.02150 0.01225
#> [7,] 0.70325 0.26375 0.02375 0.00925
#> [8,] 0.68775 0.28100 0.02200 0.00925
#> [9,] 0.69600 0.27025 0.02225 0.01150
#> [10,] 0.68400 0.27750 0.02750 0.01100
#> [11,] 0.69000 0.27950 0.02075 0.00975
#> [12,] 0.69300 0.27925 0.01950 0.00825
#> [13,] 0.69825 0.27075 0.02175 0.00925
#> [14,] 0.69850 0.27200 0.01950 0.01000
#> [15,] 0.69975 0.27100 0.01825 0.01100
#> [16,] 0.70300 0.26800 0.02100 0.00800
#> [17,] 0.70125 0.26375 0.02250 0.01250
#> [18,] 0.70200 0.26675 0.02100 0.01025
#> [19,] 0.70125 0.26675 0.02075 0.01125
#> [20,] 0.69175 0.27775 0.01900 0.01150
#> [21,] 0.70075 0.26875 0.01975 0.01075
#> [22,] 0.69450 0.27525 0.02050 0.00975
#> [23,] 0.70650 0.26700 0.01875 0.00775
#> [24,] 0.70225 0.27450 0.01500 0.00825
#> [25,] 0.69700 0.27300 0.02125 0.00875
#> [26,] 0.69800 0.27150 0.02275 0.00775
#> [27,] 0.69575 0.27450 0.02175 0.00800
#> [28,] 0.70825 0.26125 0.02150 0.00900
#> [29,] 0.69000 0.27575 0.02450 0.00975
#> [30,] 0.69800 0.27500 0.01950 0.00750
#> [31,] 0.70175 0.26825 0.01925 0.01075
#> [32,] 0.68900 0.27725 0.02125 0.01250
#> [33,] 0.69750 0.27075 0.02200 0.00975
#> [34,] 0.70050 0.26375 0.02375 0.01200
#> [35,] 0.69900 0.27125 0.01925 0.01050
#> [36,] 0.70025 0.26675 0.02125 0.01175
#> [37,] 0.70175 0.26925 0.02000 0.00900
#> [38,] 0.70600 0.26300 0.01950 0.01150
#> [39,] 0.70250 0.27150 0.01850 0.00750
#> [40,] 0.69350 0.27900 0.01875 0.00875
#> [41,] 0.68950 0.27925 0.02275 0.00850
#> [42,] 0.69375 0.27425 0.02050 0.01150
#> [43,] 0.69450 0.27400 0.02025 0.01125
#> [44,] 0.69500 0.27950 0.01850 0.00700
#> [45,] 0.70125 0.26725 0.02150 0.01000
#> [46,] 0.69875 0.27175 0.01850 0.01100
#> [47,] 0.70450 0.26550 0.01825 0.01175
#> [48,] 0.70300 0.26725 0.02100 0.00875
#> [49,] 0.69800 0.27350 0.01750 0.01100
#> [50,] 0.69700 0.26875 0.02450 0.00975
#> [51,] 0.70325 0.26525 0.02100 0.01050
#> [52,] 0.70625 0.26350 0.02025 0.01000
#> [53,] 0.68450 0.28575 0.01925 0.01050
#> [54,] 0.70275 0.26700 0.02075 0.00950
#> [55,] 0.70150 0.26775 0.02050 0.01025
#> [56,] 0.70225 0.26800 0.02075 0.00900
#> [57,] 0.70450 0.26150 0.02200 0.01200
#> [58,] 0.70700 0.26425 0.01900 0.00975
#> [59,] 0.70475 0.26850 0.01900 0.00775
#> [60,] 0.50950 0.43000 0.04100 0.01950
#> [61,] 0.50525 0.42650 0.04725 0.02100
#> [62,] 0.51375 0.42275 0.04275 0.02075
#> [63,] 0.51550 0.41550 0.04600 0.02300
#> [64,] 0.53125 0.40600 0.04050 0.02225
#> [65,] 0.51275 0.42275 0.04500 0.01950
#> [66,] 0.52100 0.40800 0.05025 0.02075
#> [67,] 0.51675 0.42325 0.04200 0.01800
#> [68,] 0.51250 0.42150 0.04725 0.01875
#> [69,] 0.50900 0.42550 0.04825 0.01725
#> [70,] 0.50700 0.42100 0.04650 0.02550
#> [71,] 0.51025 0.42625 0.03975 0.02375
#> [72,] 0.50750 0.42850 0.04575 0.01825
#> [73,] 0.50825 0.43275 0.03950 0.01950
#> [74,] 0.51550 0.41525 0.04500 0.02425
#> [75,] 0.51500 0.41650 0.04275 0.02575
#> [76,] 0.51575 0.42225 0.04425 0.01775
#> [77,] 0.52125 0.41175 0.04550 0.02150
#> [78,] 0.51825 0.42275 0.03850 0.02050
#> [79,] 0.50300 0.43125 0.04600 0.01975
#> [80,] 0.52600 0.41075 0.04575 0.01750
#> [81,] 0.51125 0.42050 0.04775 0.02050
#> [82,] 0.50775 0.43175 0.04125 0.01925
#> [83,] 0.52150 0.41500 0.04200 0.02150
#> [84,] 0.51225 0.42725 0.04025 0.02025
#> [85,] 0.50800 0.43300 0.03775 0.02125
#> [86,] 0.51800 0.41975 0.04275 0.01950
#> [87,] 0.52475 0.40775 0.04450 0.02300
#> [88,] 0.51850 0.41825 0.04125 0.02200
#> [89,] 0.50600 0.43525 0.04100 0.01775
#> [90,] 0.52600 0.41175 0.03950 0.02275
#> [91,] 0.52500 0.41425 0.04450 0.01625
#> [92,] 0.50075 0.43625 0.04000 0.02300
#> [93,] 0.49975 0.43325 0.04775 0.01925
#> [94,] 0.51175 0.42275 0.04350 0.02200
#> [95,] 0.51775 0.41250 0.04700 0.02275
#> [96,] 0.50875 0.42950 0.03600 0.02575
#> [97,] 0.50575 0.42550 0.04500 0.02375
#> [98,] 0.52125 0.42050 0.03650 0.02175
#> [99,] 0.52750 0.40550 0.04775 0.01925
#> [100,] 0.51900 0.41375 0.04650 0.02075
#> [101,] 0.50150 0.43575 0.04525 0.01750
#> [102,] 0.53675 0.40150 0.04275 0.01900
#> [103,] 0.51525 0.41850 0.04525 0.02100
#> [104,] 0.51275 0.42600 0.03975 0.02150
#> [105,] 0.51350 0.42550 0.04150 0.01950
#> [106,] 0.52950 0.40825 0.04375 0.01850
#> [107,] 0.51825 0.42225 0.04150 0.01800
#> [108,] 0.51550 0.41750 0.04125 0.02575
#> [109,] 0.51300 0.42725 0.04150 0.01825
#> [110,] 0.51450 0.42850 0.03800 0.01900
#> [111,] 0.52050 0.41925 0.04125 0.01900
#> [112,] 0.51875 0.42875 0.03650 0.01600
#> [113,] 0.50175 0.43025 0.04575 0.02225
#> [114,] 0.51125 0.42825 0.04075 0.01975
#> [115,] 0.51350 0.42650 0.04000 0.02000
#> [116,] 0.51350 0.42200 0.04250 0.02200
#> [117,] 0.50700 0.43175 0.03825 0.02300
#> [118,] 0.50900 0.42475 0.04325 0.02300
#> [119,] 0.51125 0.41925 0.04800 0.02150
#> [120,] 0.51225 0.42250 0.04650 0.01875
#> [121,] 0.50025 0.43525 0.04225 0.02225
#> [122,] 0.51825 0.41925 0.04375 0.01875
#> [123,] 0.69575 0.27625 0.01800 0.01000
#> [124,] 0.68700 0.28650 0.01825 0.00825
#> [125,] 0.70125 0.26550 0.02300 0.01025
#> [126,] 0.70550 0.26475 0.02175 0.00800
#> [127,] 0.70800 0.26250 0.01975 0.00975
#> [128,] 0.70500 0.26900 0.01875 0.00725
#> [129,] 0.70550 0.26450 0.01950 0.01050
#> [130,] 0.69875 0.26700 0.02550 0.00875
#> [131,] 0.71300 0.25725 0.02125 0.00850
#> [132,] 0.69975 0.26925 0.02125 0.00975
#> [133,] 0.69400 0.27050 0.02250 0.01300
#> [134,] 0.68675 0.27775 0.02575 0.00975
#> [135,] 0.69375 0.27000 0.02450 0.01175
#> [136,] 0.70150 0.27075 0.02025 0.00750
#> [137,] 0.69725 0.27250 0.02075 0.00950
#> [138,] 0.69900 0.26800 0.02250 0.01050
#> [139,] 0.69650 0.27225 0.02150 0.00975
#> [140,] 0.69050 0.28450 0.01850 0.00650
#> [141,] 0.69075 0.27625 0.02525 0.00775
#> [142,] 0.70700 0.25975 0.02150 0.01175
#> [143,] 0.69900 0.26575 0.02525 0.01000
#> [144,] 0.70750 0.25900 0.02375 0.00975
#> [145,] 0.70050 0.26700 0.02475 0.00775
#> [146,] 0.70300 0.26600 0.02075 0.01025
#> [147,] 0.68625 0.28225 0.01825 0.01325
#> [148,] 0.70000 0.26375 0.02425 0.01200
#> [149,] 0.70350 0.27225 0.01625 0.00800
#> [150,] 0.70100 0.26875 0.02000 0.01025
#> [151,] 0.70100 0.26925 0.01675 0.01300
#> [152,] 0.70150 0.26900 0.01800 0.01150
#> [153,] 0.71000 0.25550 0.02200 0.01250
#> [154,] 0.68500 0.27975 0.02575 0.00950
#> [155,] 0.70550 0.26500 0.01975 0.00975
#> [156,] 0.68900 0.28150 0.02075 0.00875
#> [157,] 0.68875 0.27450 0.02500 0.01175
#> [158,] 0.51075 0.42375 0.04875 0.01675
#> [159,] 0.51750 0.41500 0.04300 0.02450
#> [160,] 0.51100 0.41825 0.04650 0.02425
#> [161,] 0.51475 0.41775 0.04675 0.02075
#> [162,] 0.49750 0.44150 0.04050 0.02050
#> [163,] 0.51575 0.41825 0.04200 0.02400
#> [164,] 0.52300 0.41350 0.04425 0.01925
#> [165,] 0.52400 0.41800 0.04150 0.01650
#> [166,] 0.51375 0.42175 0.04275 0.02175
#> [167,] 0.52175 0.41775 0.04075 0.01975
#> [168,] 0.50800 0.42275 0.04825 0.02100
#> [169,] 0.51800 0.42150 0.04225 0.01825
#> [170,] 0.51425 0.42750 0.03950 0.01875
#> [171,] 0.68525 0.28175 0.02175 0.01125
#> [172,] 0.68050 0.28100 0.02450 0.01400
#> [173,] 0.68825 0.28050 0.02100 0.01025
#> [174,] 0.69950 0.27750 0.01525 0.00775
#> [175,] 0.69300 0.27275 0.02300 0.01125
#> [176,] 0.68725 0.27775 0.02200 0.01300
#> [177,] 0.70900 0.26375 0.01825 0.00900
#> [178,] 0.69350 0.27400 0.02250 0.01000
#> [179,] 0.69575 0.26975 0.02050 0.01400
#> [180,] 0.69500 0.27100 0.02075 0.01325
#> [181,] 0.69375 0.27875 0.01875 0.00875
#> [182,] 0.70175 0.26700 0.02125 0.01000
#> [183,] 0.69675 0.27525 0.01875 0.00925
#> [184,] 0.70800 0.26150 0.02150 0.00900
#> [185,] 0.69225 0.27325 0.02175 0.01275
#> [186,] 0.70425 0.26750 0.02050 0.00775
#> [187,] 0.50675 0.43125 0.04150 0.02050
#> [188,] 0.52050 0.41375 0.04775 0.01800
#> [189,] 0.51575 0.41900 0.04025 0.02500
#> [190,] 0.51325 0.42375 0.03875 0.02425
#> [191,] 0.51425 0.42475 0.04100 0.02000
#> [192,] 0.50900 0.43200 0.04275 0.01625
#> [193,] 0.50275 0.43025 0.04775 0.01925
#> [194,] 0.49950 0.43600 0.04400 0.02050
#> [195,] 0.49750 0.43700 0.04150 0.02400
#> [196,] 0.50550 0.42675 0.04650 0.02125
#> [197,] 0.52150 0.41550 0.04150 0.02150
#> [198,] 0.51525 0.42250 0.04075 0.02150
#> [199,] 0.51275 0.41950 0.04325 0.02450
#> [200,] 0.50900 0.42375 0.04700 0.02025
#> [201,] 0.52625 0.40900 0.04450 0.02025
#> [202,] 0.51525 0.42800 0.03675 0.02000
#> [203,] 0.51675 0.41700 0.04400 0.02225
#> [204,] 0.49375 0.43925 0.04475 0.02225
#> [205,] 0.50925 0.42225 0.04650 0.02200
#> [206,] 0.50725 0.42775 0.04475 0.02025
#> [207,] 0.51025 0.43125 0.04000 0.01850
#> [208,] 0.51125 0.42500 0.04375 0.02000
#> [209,] 0.51275 0.42850 0.03900 0.01975
#> [210,] 0.50000 0.43750 0.04500 0.01750
#> [211,] 0.50725 0.43300 0.04050 0.01925
#> [212,] 0.52300 0.41250 0.04550 0.01900
#> [213,] 0.50775 0.42400 0.04850 0.01975
#> [214,] 0.51375 0.42300 0.04375 0.01950
#> [215,] 0.50725 0.43000 0.04500 0.01775
#> [216,] 0.52225 0.41600 0.04400 0.01775
#> [217,] 0.52025 0.41800 0.04250 0.01925
#> [218,] 0.50350 0.43375 0.04000 0.02275
#> [219,] 0.50525 0.43150 0.04075 0.02250
#> [220,] 0.49725 0.43450 0.04925 0.01900
#> [221,] 0.51725 0.42100 0.04250 0.01925
#> [222,] 0.51850 0.41425 0.04300 0.02425
#> [223,] 0.51825 0.42225 0.04300 0.01650
#> [224,] 0.51175 0.42600 0.03950 0.02275
#> [225,] 0.53250 0.40800 0.04125 0.01825
#> [226,] 0.51900 0.41750 0.04300 0.02050
#> [227,] 0.69550 0.27350 0.02125 0.00975
#> [228,] 0.70325 0.26725 0.01925 0.01025
#> [229,] 0.68675 0.28425 0.01900 0.01000
#> [230,] 0.69400 0.27100 0.02300 0.01200
#> [231,] 0.69750 0.27175 0.02150 0.00925
#> [232,] 0.69775 0.26825 0.02425 0.00975
#> [233,] 0.70375 0.26625 0.01950 0.01050
#> [234,] 0.69825 0.26900 0.02175 0.01100
#> [235,] 0.69400 0.27200 0.02425 0.00975
#> [236,] 0.69925 0.27525 0.01775 0.00775
#> [237,] 0.70550 0.26625 0.01925 0.00900
#> [238,] 0.69050 0.27975 0.02275 0.00700
#> [239,] 0.69375 0.27900 0.01800 0.00925
#> [240,] 0.70450 0.26825 0.01650 0.01075
#> [241,] 0.69650 0.27875 0.01700 0.00775
#> [242,] 0.69600 0.27750 0.01950 0.00700
#> [243,] 0.70650 0.26150 0.02025 0.01175
#> [244,] 0.70675 0.26600 0.01900 0.00825
#> [245,] 0.69475 0.27450 0.02375 0.00700
#> [246,] 0.69975 0.27025 0.02100 0.00900
#> [247,] 0.70000 0.27300 0.01750 0.00950
#> [248,] 0.70225 0.26875 0.01775 0.01125
#> [249,] 0.69950 0.26950 0.01975 0.01125
#> [250,] 0.70250 0.26700 0.02175 0.00875
#> [251,] 0.70175 0.26625 0.02400 0.00800
#> [252,] 0.70350 0.26200 0.02325 0.01125
#> [253,] 0.69225 0.27825 0.01850 0.01100
#> [254,] 0.52200 0.40675 0.04950 0.02175
#> [255,] 0.52000 0.41850 0.04225 0.01925
#> [256,] 0.49750 0.43675 0.04400 0.02175
#> [257,] 0.50325 0.43450 0.04225 0.02000
#> [258,] 0.51300 0.43025 0.03875 0.01800
#> [259,] 0.50450 0.42750 0.04475 0.02325
#> [260,] 0.53250 0.40650 0.04225 0.01875
#> [261,] 0.50075 0.43175 0.04350 0.02400
#> [262,] 0.51600 0.41675 0.04300 0.02425
#> [263,] 0.52450 0.40950 0.04400 0.02200
#> [264,] 0.51825 0.42025 0.04300 0.01850
#> [265,] 0.51025 0.42575 0.04250 0.02150
#> [266,] 0.53125 0.40825 0.04150 0.01900
#> [267,] 0.52200 0.41550 0.04350 0.01900
#> [268,] 0.50975 0.42650 0.04300 0.02075
#> [269,] 0.70250 0.26350 0.02425 0.00975
#> [270,] 0.68875 0.27800 0.02150 0.01175
#> [271,] 0.70125 0.27100 0.01750 0.01025
#> [272,] 0.49650 0.43175 0.04975 0.02200
#> [273,] 0.50450 0.42625 0.04425 0.02500
#> [274,] 0.51625 0.41550 0.04800 0.02025
#> [275,] 0.51225 0.42375 0.04300 0.02100
#> [276,] 0.52150 0.41925 0.04025 0.01900
#> [277,] 0.50975 0.42800 0.04375 0.01850
#> [278,] 0.51675 0.41800 0.04475 0.02050
#> [279,] 0.51250 0.42025 0.04750 0.01975
#> [280,] 0.52150 0.42075 0.04175 0.01600
#> [281,] 0.51575 0.41875 0.04350 0.02200
#> [282,] 0.69400 0.27400 0.02200 0.01000
#> [283,] 0.51925 0.41025 0.04850 0.02200
#> [284,] 0.50875 0.42625 0.04650 0.01850
#> [285,] 0.69000 0.28175 0.02050 0.00775
#> [286,] 0.50525 0.42900 0.04650 0.01925
#> [287,] 0.51200 0.42275 0.04575 0.01950
#> [288,] 0.51250 0.42100 0.04250 0.02400
#> [289,] 0.49975 0.43300 0.04325 0.02400
#> [290,] 0.49325 0.44175 0.04350 0.02150
#> [291,] 0.50675 0.42900 0.04525 0.01900
#> [292,] 0.49875 0.43000 0.04850 0.02275
#> [293,] 0.51550 0.42325 0.04175 0.01950
#> [294,] 0.50925 0.42600 0.04200 0.02275
#> [295,] 0.49150 0.43925 0.04800 0.02125
#> [296,] 0.50725 0.42400 0.04825 0.02050
#> [297,] 0.51000 0.41900 0.04675 0.02425
#> [298,] 0.50150 0.42700 0.04900 0.02250
#> [299,] 0.49700 0.43225 0.04850 0.02225
#> [300,] 0.50500 0.42925 0.04400 0.02175
#> [301,] 0.49775 0.43025 0.04925 0.02275
#> [302,] 0.48625 0.44950 0.04250 0.02175
#> [303,] 0.50475 0.43575 0.03975 0.01975
#> [304,] 0.50175 0.43525 0.04475 0.01825
#> [305,] 0.51175 0.42200 0.04325 0.02300
#> [306,] 0.50200 0.43475 0.04350 0.01975
#> [307,] 0.50975 0.42250 0.04675 0.02100
#> [308,] 0.50450 0.42750 0.04700 0.02100
#> [309,] 0.49975 0.43100 0.04625 0.02300
#> [310,] 0.50400 0.42575 0.04825 0.02200
#> [311,] 0.49725 0.43475 0.04425 0.02375
#> [312,] 0.51725 0.41775 0.04500 0.02000
#> [313,] 0.50500 0.42000 0.04975 0.02525
#> [314,] 0.49950 0.43475 0.04050 0.02525
#> [315,] 0.49500 0.42875 0.04825 0.02800
#> [316,] 0.50125 0.43100 0.04475 0.02300
#> [317,] 0.50125 0.43600 0.04500 0.01775
#> [318,] 0.50050 0.43300 0.04875 0.01775
#> [319,] 0.49950 0.43000 0.04625 0.02425
#> [320,] 0.51225 0.41825 0.04750 0.02200
#> [321,] 0.51225 0.42875 0.04125 0.01775
#> [322,] 0.49175 0.44425 0.04525 0.01875
#> [323,] 0.50750 0.42650 0.04350 0.02250
#> [324,] 0.50625 0.42675 0.04150 0.02550
#> [325,] 0.51250 0.42450 0.04400 0.01900
#> [326,] 0.50500 0.42750 0.04725 0.02025
#> [327,] 0.50350 0.42900 0.04375 0.02375
#> [328,] 0.50525 0.43125 0.03900 0.02450
#> [329,] 0.50525 0.43175 0.04225 0.02075
#> [330,] 0.51625 0.41425 0.04825 0.02125
#> [331,] 0.51525 0.41775 0.04250 0.02450
#> [332,] 0.51525 0.41650 0.04525 0.02300
#> [333,] 0.50200 0.44075 0.03700 0.02025
#> [334,] 0.50025 0.43450 0.04000 0.02525
#> [335,] 0.51650 0.42050 0.04300 0.02000
#> [336,] 0.50300 0.43800 0.04050 0.01850
#> [337,] 0.51550 0.41750 0.04725 0.01975
#> [338,] 0.50700 0.42625 0.04600 0.02075
#> [339,] 0.50100 0.43050 0.04700 0.02150
#> [340,] 0.49525 0.43750 0.04675 0.02050
#> [341,] 0.50400 0.42900 0.04550 0.02150
#> [342,] 0.50925 0.42250 0.04750 0.02075
#> [343,] 0.49750 0.43850 0.04375 0.02025
#> [344,] 0.50175 0.42675 0.04575 0.02575
#> [345,] 0.51900 0.41925 0.04100 0.02075
#> [346,] 0.77400 0.20450 0.01450 0.00700
#> [347,] 0.77650 0.20350 0.01250 0.00750
#> [348,] 0.77525 0.20475 0.01300 0.00700
#> [349,] 0.77325 0.20875 0.01200 0.00600
#> [350,] 0.77700 0.20450 0.01325 0.00525
#> [351,] 0.78200 0.19625 0.01550 0.00625
#> [352,] 0.77850 0.20500 0.01275 0.00375
#> [353,] 0.78575 0.19650 0.01075 0.00700
#> [354,] 0.78325 0.19525 0.01450 0.00700
#> [355,] 0.77475 0.20500 0.01550 0.00475
#> [356,] 0.77650 0.20300 0.01475 0.00575
#> [357,] 0.78175 0.19550 0.01575 0.00700
#> [358,] 0.77575 0.20675 0.01100 0.00650
#> [359,] 0.77925 0.20350 0.01150 0.00575
#> [360,] 0.77100 0.20550 0.01550 0.00800
#> [361,] 0.77400 0.20300 0.01650 0.00650
#> [362,] 0.77325 0.20400 0.01600 0.00675
#> [363,] 0.79000 0.19150 0.01350 0.00500
#> [364,] 0.77275 0.20825 0.01200 0.00700
#> [365,] 0.77425 0.20600 0.01250 0.00725
#> [366,] 0.77775 0.20175 0.01475 0.00575
#> [367,] 0.77275 0.20900 0.01250 0.00575
#> [368,] 0.77125 0.20625 0.01725 0.00525
#> [369,] 0.77875 0.20000 0.01500 0.00625
#> [370,] 0.77300 0.20475 0.01625 0.00600
#> [371,] 0.77575 0.20625 0.01175 0.00625
#> [372,] 0.78050 0.20150 0.01250 0.00550
#> [373,] 0.78100 0.19750 0.01425 0.00725
#> [374,] 0.77725 0.20750 0.01050 0.00475
#> [375,] 0.77850 0.20250 0.01150 0.00750
#> [376,] 0.77825 0.19825 0.01525 0.00825
#> [377,] 0.77600 0.20025 0.01675 0.00700
#> [378,] 0.77675 0.20400 0.01400 0.00525
#> [379,] 0.77425 0.20550 0.01600 0.00425
#> [380,] 0.78675 0.19525 0.01050 0.00750
#> [381,] 0.78250 0.19350 0.01675 0.00725
#> [382,] 0.77675 0.20525 0.01275 0.00525
#> [383,] 0.76175 0.21325 0.01675 0.00825
#> [384,] 0.77850 0.20075 0.01400 0.00675
#> [385,] 0.78725 0.19350 0.01225 0.00700
#> [386,] 0.78400 0.19600 0.01400 0.00600
#> [387,] 0.78075 0.20650 0.00800 0.00475
#> [388,] 0.78000 0.19650 0.01600 0.00750
#> [389,] 0.78900 0.19550 0.01050 0.00500
#> [390,] 0.77525 0.20450 0.01275 0.00750
#> [391,] 0.77975 0.19775 0.01675 0.00575
#> [392,] 0.77450 0.20750 0.01175 0.00625
#> [393,] 0.78175 0.19825 0.01375 0.00625
#> [394,] 0.77400 0.20400 0.01400 0.00800
#> [395,] 0.76975 0.21175 0.01325 0.00525
#> [396,] 0.77525 0.19900 0.01850 0.00725
#> [397,] 0.78525 0.19975 0.01075 0.00425
#> [398,] 0.77125 0.20775 0.01325 0.00775
#> [399,] 0.77325 0.20675 0.01425 0.00575
#> [400,] 0.78150 0.19800 0.01425 0.00625
#> [401,] 0.78350 0.19775 0.01325 0.00550
#> [402,] 0.77150 0.21000 0.01250 0.00600
#> [403,] 0.78250 0.19800 0.01325 0.00625
#> [404,] 0.77225 0.20925 0.01225 0.00625
#> [405,] 0.77675 0.20050 0.01600 0.00675
#> [406,] 0.77525 0.19925 0.01850 0.00700
#> [407,] 0.77650 0.20250 0.01275 0.00825
#> [408,] 0.78075 0.20175 0.01150 0.00600
#> [409,] 0.50000 0.43025 0.04625 0.02350
#> [410,] 0.49950 0.43525 0.04600 0.01925
#> [411,] 0.50225 0.43225 0.04250 0.02300
#> [412,] 0.49075 0.44375 0.04300 0.02250
#> [413,] 0.49950 0.43475 0.04200 0.02375
#> [414,] 0.50900 0.42025 0.04825 0.02250
#> [415,] 0.49350 0.43625 0.04850 0.02175
#> [416,] 0.50825 0.42600 0.04475 0.02100
#> [417,] 0.50125 0.44050 0.03975 0.01850
#> [418,] 0.50200 0.42875 0.04750 0.02175
#> [419,] 0.49925 0.43600 0.04875 0.01600
#> [420,] 0.50050 0.43100 0.04750 0.02100
#> [421,] 0.49275 0.43825 0.04725 0.02175
#> [422,] 0.49525 0.43225 0.04600 0.02650
#> [423,] 0.51575 0.41500 0.04625 0.02300
#> [424,] 0.50775 0.42475 0.04450 0.02300
#> [425,] 0.50400 0.43075 0.04300 0.02225
#> [426,] 0.51875 0.41350 0.04150 0.02625
#> [427,] 0.50425 0.43000 0.04300 0.02275
#> [428,] 0.52175 0.41125 0.04525 0.02175
#> [429,] 0.50400 0.43000 0.04375 0.02225
#> [430,] 0.50275 0.43450 0.04225 0.02050
#> [431,] 0.50050 0.42775 0.04925 0.02250
#> [432,] 0.50875 0.43125 0.04075 0.01925
#> [433,] 0.51700 0.42375 0.04000 0.01925
#> [434,] 0.49375 0.43875 0.05000 0.01750
#> [435,] 0.50075 0.42725 0.04925 0.02275
#> [436,] 0.49875 0.42625 0.04950 0.02550
#> [437,] 0.50800 0.43075 0.03850 0.02275
#> [438,] 0.49350 0.43900 0.04700 0.02050
#> [439,] 0.51050 0.42675 0.04175 0.02100
#> [440,] 0.51175 0.42275 0.04350 0.02200
#> [441,] 0.49625 0.43700 0.04575 0.02100
#> [442,] 0.49600 0.43475 0.05075 0.01850
#> [443,] 0.49775 0.43750 0.04375 0.02100
#> [444,] 0.77325 0.20825 0.01350 0.00500
#> [445,] 0.76150 0.21825 0.01475 0.00550
#> [446,] 0.77325 0.20475 0.01575 0.00625
#> [447,] 0.78400 0.19450 0.01575 0.00575
#> [448,] 0.78250 0.19850 0.01300 0.00600
#> [449,] 0.78100 0.19700 0.01425 0.00775
#> [450,] 0.77400 0.20625 0.01200 0.00775
#> [451,] 0.78300 0.19725 0.01375 0.00600
#> [452,] 0.78750 0.19250 0.01400 0.00600
#> [453,] 0.78375 0.19550 0.01425 0.00650
#> [454,] 0.78350 0.19675 0.01375 0.00600
#> [455,] 0.79125 0.18825 0.01425 0.00625
#> [456,] 0.78375 0.19400 0.01250 0.00975
#> [457,] 0.51500 0.41975 0.04600 0.01925
#> [458,] 0.50575 0.43050 0.04575 0.01800
#> [459,] 0.51050 0.42575 0.04475 0.01900
#> [460,] 0.50550 0.43025 0.04300 0.02125
#> [461,] 0.49925 0.43425 0.03950 0.02700
#> [462,] 0.50450 0.42400 0.04650 0.02500
#> [463,] 0.50975 0.42475 0.04275 0.02275
#> [464,] 0.51500 0.41625 0.04575 0.02300
#> [465,] 0.51925 0.41475 0.04225 0.02375
#> [466,] 0.50750 0.42450 0.04675 0.02125
#> [467,] 0.49875 0.43550 0.04350 0.02225
#> [468,] 0.50700 0.42925 0.04100 0.02275
#> [469,] 0.49550 0.43250 0.04600 0.02600
#> [470,] 0.50700 0.42300 0.04650 0.02350
#> [471,] 0.52025 0.41625 0.04225 0.02125
#> [472,] 0.49950 0.42825 0.05025 0.02200
#> [473,] 0.78650 0.19250 0.01450 0.00650
#> [474,] 0.78100 0.19900 0.01525 0.00475
#> [475,] 0.77800 0.20400 0.01400 0.00400
#> [476,] 0.77500 0.20100 0.01575 0.00825
#> [477,] 0.77425 0.20850 0.01075 0.00650
#> [478,] 0.78025 0.20100 0.01275 0.00600
#> [479,] 0.77800 0.19925 0.01575 0.00700
#> [480,] 0.78275 0.19950 0.01225 0.00550
#> [481,] 0.76350 0.21825 0.01400 0.00425
#> [482,] 0.77950 0.20125 0.01400 0.00525
#> [483,] 0.77475 0.20750 0.00950 0.00825
#> [484,] 0.76975 0.20625 0.01750 0.00650
#> [485,] 0.78025 0.20250 0.01225 0.00500
#> [486,] 0.78125 0.19975 0.01125 0.00775
#> [487,] 0.78100 0.20175 0.01075 0.00650
#> [488,] 0.77900 0.19650 0.01775 0.00675
#> [489,] 0.77150 0.20575 0.01450 0.00825
#> [490,] 0.78625 0.19375 0.01300 0.00700
#> [491,] 0.77475 0.20675 0.01250 0.00600
#> [492,] 0.77950 0.20275 0.01025 0.00750
#> [493,] 0.76950 0.21100 0.01350 0.00600
#> [494,] 0.77975 0.19975 0.01525 0.00525
#> [495,] 0.78375 0.19525 0.01550 0.00550
#> [496,] 0.77900 0.19775 0.01650 0.00675
#> [497,] 0.77575 0.20375 0.01325 0.00725
#> [498,] 0.77375 0.20700 0.01325 0.00600
#> [499,] 0.77375 0.20650 0.01400 0.00575
#> [500,] 0.76475 0.21400 0.01475 0.00650
#> [501,] 0.77725 0.20375 0.01400 0.00500
#> [502,] 0.78675 0.19650 0.01075 0.00600
#> [503,] 0.78350 0.19725 0.01250 0.00675
#> [504,] 0.77225 0.20525 0.01375 0.00875
#> [505,] 0.76875 0.21300 0.01150 0.00675
#> [506,] 0.78325 0.19575 0.01350 0.00750
#> [507,] 0.77400 0.20250 0.01575 0.00775
#> [508,] 0.77125 0.20700 0.01400 0.00775
#> [509,] 0.77150 0.20675 0.01550 0.00625
#> [510,] 0.77225 0.21125 0.01175 0.00475
#> [511,] 0.77725 0.20400 0.01200 0.00675
#> [512,] 0.77225 0.20775 0.01325 0.00675
#> [513,] 0.51575 0.42225 0.04025 0.02175
#> [514,] 0.50100 0.43750 0.03925 0.02225
#> [515,] 0.50250 0.42950 0.04700 0.02100
#> [516,] 0.49650 0.43700 0.04600 0.02050
#> [517,] 0.50475 0.41650 0.05475 0.02400
#> [518,] 0.48550 0.44350 0.04700 0.02400
#> [519,] 0.50075 0.43100 0.04475 0.02350
#> [520,] 0.50075 0.43250 0.04425 0.02250
#> [521,] 0.51225 0.42375 0.04425 0.01975
#> [522,] 0.49875 0.42775 0.04675 0.02675
#> [523,] 0.49750 0.43425 0.04425 0.02400
#> [524,] 0.50375 0.42650 0.04900 0.02075
#> [525,] 0.50500 0.43050 0.04225 0.02225
#> [526,] 0.50375 0.42825 0.04575 0.02225
#> [527,] 0.51125 0.41775 0.04750 0.02350
#> [528,] 0.51025 0.42225 0.04700 0.02050
#> [529,] 0.48975 0.44375 0.04475 0.02175
#> [530,] 0.50175 0.42925 0.04825 0.02075
#> [531,] 0.49775 0.43825 0.04425 0.01975
#> [532,] 0.50175 0.43475 0.04350 0.02000
#> [533,] 0.50825 0.42700 0.04600 0.01875
#> [534,] 0.51450 0.41950 0.04650 0.01950
#> [535,] 0.52050 0.41025 0.04550 0.02375
#> [536,] 0.48825 0.44300 0.04500 0.02375
#> [537,] 0.52075 0.41425 0.04425 0.02075
#> [538,] 0.51400 0.42100 0.04275 0.02225
#> [539,] 0.50075 0.42825 0.04900 0.02200
#> [540,] 0.77375 0.20325 0.01700 0.00600
#> [541,] 0.77400 0.20125 0.01700 0.00775
#> [542,] 0.77150 0.20675 0.01375 0.00800
#> [543,] 0.77175 0.20850 0.01250 0.00725
#> [544,] 0.76450 0.21400 0.01450 0.00700
#> [545,] 0.75925 0.21500 0.01775 0.00800
#> [546,] 0.76350 0.21550 0.01475 0.00625
#> [547,] 0.77075 0.20975 0.01350 0.00600
#> [548,] 0.78025 0.19400 0.01875 0.00700
#> [549,] 0.78100 0.20125 0.01275 0.00500
#> [550,] 0.78975 0.19225 0.01175 0.00625
#> [551,] 0.77200 0.20750 0.01425 0.00625
#> [552,] 0.79125 0.18875 0.01250 0.00750
#> [553,] 0.77900 0.20100 0.01400 0.00600
#> [554,] 0.77675 0.20350 0.01525 0.00450
#> [555,] 0.50350 0.43725 0.03800 0.02125
#> [556,] 0.49900 0.43175 0.04700 0.02225
#> [557,] 0.50900 0.42600 0.04600 0.01900
#> [558,] 0.78825 0.19375 0.01250 0.00550
#> [559,] 0.77825 0.19425 0.01925 0.00825
#> [560,] 0.78325 0.19725 0.01325 0.00625
#> [561,] 0.77150 0.20525 0.01750 0.00575
#> [562,] 0.77650 0.20325 0.01500 0.00525
#> [563,] 0.77350 0.20200 0.01750 0.00700
#> [564,] 0.76300 0.21375 0.01400 0.00925
#> [565,] 0.77050 0.20975 0.01325 0.00650
#> [566,] 0.77700 0.20150 0.01525 0.00625
#> [567,] 0.77875 0.20275 0.01425 0.00425
#> [568,] 0.50400 0.43350 0.04525 0.01725
#> [569,] 0.77425 0.20225 0.01525 0.00825
#> [570,] 0.76625 0.21125 0.01500 0.00750
#> [571,] 0.49825 0.44050 0.03800 0.02325
#> [572,] 0.76425 0.21600 0.01400 0.00575
# }