Jared Cross
July 16, 2015
5+6
## [1] 11
sqrt(64)
## [1] 8
5^2
## [1] 25
(5*2)^3
## [1] 1000
x <- (5*2)^3
y <- 5^2
x/y
## [1] 40
greeting <- "Hello!"
greeting
## [1] "Hello!"
Choose <- function (x,y) factorial(x)/(factorial(y)*factorial(x-y))
Choose(8,3)
## [1] 56
xvec <- seq(1,10,0.5)
xvec
## [1] 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0 6.5 7.0 7.5
## [15] 8.0 8.5 9.0 9.5 10.0
number_of_heads <- 0:100
number_of_heads
## [1] 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
## [18] 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
## [35] 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
## [52] 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67
## [69] 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84
## [86] 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
number_of_sequences <- Choose(100,number_of_heads)
plot(number_of_heads,number_of_sequences)
plot(number_of_heads,number_of_sequences/2^100)
runif(25,9,12) #generates 25 numbers between 9 and 12
## [1] 11.331891 9.216436 9.082973 10.495313 10.865301 10.652609 11.586464
## [8] 9.446740 11.467238 11.274991 9.269187 9.556835 11.400174 11.985929
## [15] 9.755771 9.879661 10.456782 10.096544 11.230864 9.761947 11.552647
## [22] 10.339227 11.120125 10.493780 11.274840
ceiling(runif(25,9,12))
## [1] 11 12 12 10 10 10 11 12 10 11 11 12 12 12 10 11 11 12 12 11 11 12 12
## [24] 10 12
floor(runif(25,9,12))
## [1] 10 10 11 11 11 11 10 11 10 11 11 11 10 10 9 11 9 9 9 10 10 9 9
## [24] 11 11
as.integer(runif(25,9,12))
## [1] 10 11 11 9 10 10 10 11 10 11 9 10 9 11 11 11 10 10 10 11 11 11 9
## [24] 11 11
die <- 1:6
die
## [1] 1 2 3 4 5 6
sample(die,10, replace=TRUE) #sampling with replacement
## [1] 5 1 6 5 2 5 6 4 1 2
sample(die,5, replace=FALSE) #sampling without replacement
## [1] 2 3 5 4 6
num_sims <- 500
dieresults <- sample(die, num_sims, replace=TRUE)
dieresults
## [1] 3 5 4 3 3 6 2 4 1 1 4 2 6 2 1 3 5 2 5 5 1 4 5 2 3 4 4 1 2 5 3 6 5 4 2
## [36] 4 5 6 2 4 2 5 4 4 6 3 1 2 3 4 3 3 6 4 1 1 4 1 4 5 5 3 4 1 1 4 6 5 5 2
## [71] 3 1 3 5 6 2 1 4 5 5 1 3 3 4 2 4 3 5 4 2 2 5 5 5 3 5 5 4 1 6 3 1 6 5 3
## [106] 5 4 3 6 2 6 3 3 3 2 1 1 3 5 4 2 5 5 5 3 4 2 1 1 1 2 1 6 3 5 5 3 5 4 5
## [141] 3 2 4 1 3 4 4 2 1 6 1 4 5 6 3 4 1 6 2 4 2 6 2 4 3 4 5 3 5 2 3 4 2 3 5
## [176] 5 4 5 4 1 6 3 5 1 6 6 1 2 3 1 5 1 6 1 4 3 1 6 1 5 6 1 1 3 2 3 6 1 1 3
## [211] 6 2 5 5 4 3 1 1 1 3 3 2 4 4 4 1 1 6 3 4 1 1 2 4 6 4 3 5 2 6 2 1 6 1 4
## [246] 1 6 6 3 5 4 1 2 2 2 4 4 3 2 6 1 4 4 1 6 4 2 6 1 6 6 4 1 5 6 6 2 5 3 4
## [281] 1 2 2 4 4 4 1 3 6 3 2 3 5 3 2 2 3 2 6 4 2 3 5 6 6 4 5 6 2 3 2 1 5 2 4
## [316] 4 2 3 3 2 3 4 3 6 5 1 1 2 2 2 1 2 2 3 4 5 2 2 3 3 5 6 4 4 4 2 5 4 3 4
## [351] 6 6 4 6 6 3 4 1 5 6 2 6 3 5 2 5 3 4 2 6 4 1 6 1 1 3 1 3 3 3 2 2 1 2 1
## [386] 5 6 6 2 3 4 6 6 6 2 4 6 3 1 4 4 3 2 5 3 5 1 4 3 1 1 5 3 1 6 1 4 1 2 4
## [421] 6 4 2 5 4 5 5 1 1 4 3 4 6 3 2 2 3 3 2 4 3 3 2 6 5 5 4 2 3 5 1 4 1 5 3
## [456] 2 5 4 2 2 4 5 3 1 5 5 2 5 6 5 4 3 1 5 2 1 1 5 5 2 6 6 2 4 6 6 2 2 5 3
## [491] 4 5 2 6 1 5 6 5 1 6
hist(dieresults, col="green")
hist(dieresults,main=paste(num_sims," roles of a single die"),breaks=seq(.5,6.5,1), col="pink")
table(dieresults)
## dieresults
## 1 2 3 4 5 6
## 83 86 87 91 82 71
num_sims <- 500
num_dice <- 5
dieresults <- sample(die, num_sims*num_dice, replace=TRUE)
darray <- array(dieresults, c(num_sims,num_dice))
darray
## [,1] [,2] [,3] [,4] [,5]
## [1,] 3 1 1 3 1
## [2,] 2 6 3 5 1
## [3,] 5 4 4 5 4
## [4,] 2 3 2 3 3
## [5,] 1 3 4 1 6
## [6,] 6 5 6 6 5
## [7,] 1 1 1 3 4
## [8,] 5 1 6 5 6
## [9,] 6 5 4 2 4
## [10,] 2 6 6 1 1
## [11,] 6 6 4 2 3
## [12,] 1 4 6 5 1
## [13,] 3 3 4 5 6
## [14,] 2 1 2 5 5
## [15,] 4 1 2 4 1
## [16,] 6 1 6 2 5
## [17,] 1 4 5 5 6
## [18,] 3 3 1 6 5
## [19,] 5 2 6 2 2
## [20,] 5 5 4 6 6
## [21,] 5 2 4 1 2
## [22,] 6 1 5 3 4
## [23,] 2 4 4 4 3
## [24,] 6 3 2 6 1
## [25,] 4 3 1 1 3
## [26,] 6 4 4 3 1
## [27,] 2 1 5 3 3
## [28,] 4 3 4 2 4
## [29,] 3 2 6 3 3
## [30,] 6 3 5 1 5
## [31,] 4 4 1 3 2
## [32,] 4 1 6 5 3
## [33,] 2 3 5 2 4
## [34,] 2 4 6 2 1
## [35,] 1 1 4 3 2
## [36,] 4 2 1 2 5
## [37,] 2 2 2 4 2
## [38,] 1 5 6 4 4
## [39,] 6 4 1 4 4
## [40,] 3 6 1 1 4
## [41,] 1 3 5 1 1
## [42,] 3 1 4 6 4
## [43,] 2 5 3 6 6
## [44,] 6 4 4 1 3
## [45,] 5 1 4 6 2
## [46,] 1 1 6 5 5
## [47,] 4 3 6 6 2
## [48,] 1 5 6 4 2
## [49,] 4 5 4 6 1
## [50,] 3 2 6 1 5
## [51,] 2 3 3 5 6
## [52,] 5 4 6 1 3
## [53,] 6 2 4 5 5
## [54,] 6 3 5 5 2
## [55,] 5 2 2 4 6
## [56,] 5 1 2 2 6
## [57,] 6 1 6 2 5
## [58,] 6 4 3 3 6
## [59,] 2 2 4 2 5
## [60,] 2 1 6 3 6
## [61,] 1 3 3 5 6
## [62,] 4 5 3 6 6
## [63,] 2 6 6 3 2
## [64,] 3 1 1 1 4
## [65,] 5 3 6 5 2
## [66,] 1 1 5 5 5
## [67,] 2 1 2 3 4
## [68,] 5 6 2 3 2
## [69,] 6 1 5 2 2
## [70,] 3 6 4 5 3
## [71,] 2 2 5 1 4
## [72,] 5 5 2 5 2
## [73,] 6 5 2 5 1
## [74,] 3 1 1 6 6
## [75,] 3 4 1 4 3
## [76,] 3 2 3 3 5
## [77,] 6 1 2 4 5
## [78,] 2 6 2 2 3
## [79,] 3 2 4 4 5
## [80,] 2 2 2 1 1
## [81,] 4 4 4 3 1
## [82,] 2 6 4 2 1
## [83,] 6 2 6 6 5
## [84,] 4 6 1 5 2
## [85,] 2 5 6 6 3
## [86,] 1 4 2 4 2
## [87,] 4 4 5 2 6
## [88,] 6 4 4 3 1
## [89,] 5 6 4 4 3
## [90,] 1 5 5 1 3
## [91,] 3 4 2 1 3
## [92,] 5 4 2 5 5
## [93,] 5 1 4 2 4
## [94,] 2 3 3 5 4
## [95,] 6 4 2 1 3
## [96,] 3 4 2 2 2
## [97,] 5 3 4 5 2
## [98,] 6 1 3 4 4
## [99,] 4 2 4 2 6
## [100,] 2 2 6 5 2
## [101,] 6 3 6 2 1
## [102,] 5 1 4 2 2
## [103,] 5 2 6 5 5
## [104,] 2 3 4 4 3
## [105,] 6 4 3 4 6
## [106,] 6 4 3 6 5
## [107,] 6 1 5 2 5
## [108,] 5 6 1 3 3
## [109,] 4 3 6 4 3
## [110,] 6 2 1 4 2
## [111,] 6 3 6 4 2
## [112,] 3 6 6 3 4
## [113,] 2 4 3 2 4
## [114,] 1 1 5 4 3
## [115,] 3 2 3 3 1
## [116,] 5 1 3 2 2
## [117,] 5 4 6 4 2
## [118,] 4 1 5 4 2
## [119,] 6 5 1 4 5
## [120,] 4 6 4 5 2
## [121,] 1 6 4 4 6
## [122,] 4 6 2 6 5
## [123,] 2 2 4 2 6
## [124,] 2 2 5 1 6
## [125,] 1 3 3 3 2
## [126,] 3 4 4 1 4
## [127,] 4 4 2 1 2
## [128,] 4 3 2 2 4
## [129,] 5 3 2 2 1
## [130,] 6 1 5 2 5
## [131,] 3 2 3 2 1
## [132,] 5 5 5 6 4
## [133,] 1 2 1 3 5
## [134,] 5 3 5 4 5
## [135,] 1 1 3 6 2
## [136,] 5 2 1 2 2
## [137,] 6 5 4 6 1
## [138,] 4 4 1 3 6
## [139,] 6 4 2 3 4
## [140,] 4 3 5 6 3
## [141,] 4 3 6 1 1
## [142,] 3 4 3 6 5
## [143,] 4 3 5 6 3
## [144,] 4 4 1 4 4
## [145,] 1 5 5 6 2
## [146,] 6 1 2 1 4
## [147,] 6 5 1 6 6
## [148,] 2 3 5 2 1
## [149,] 3 2 5 1 6
## [150,] 3 5 1 6 4
## [151,] 4 1 5 6 6
## [152,] 1 2 4 6 5
## [153,] 5 6 6 1 2
## [154,] 6 5 5 4 5
## [155,] 3 4 5 3 4
## [156,] 1 6 4 1 3
## [157,] 3 4 2 3 2
## [158,] 3 2 3 5 6
## [159,] 3 1 6 3 6
## [160,] 5 3 4 2 3
## [161,] 1 1 1 5 5
## [162,] 1 6 1 6 1
## [163,] 2 1 4 5 1
## [164,] 3 1 4 4 5
## [165,] 3 3 1 4 6
## [166,] 2 3 5 2 3
## [167,] 6 2 6 1 3
## [168,] 6 6 5 5 4
## [169,] 2 2 1 3 1
## [170,] 6 6 5 5 2
## [171,] 3 2 4 6 6
## [172,] 6 3 1 1 6
## [173,] 6 3 3 2 2
## [174,] 5 3 5 4 5
## [175,] 6 1 2 5 2
## [176,] 2 2 4 2 5
## [177,] 1 2 3 4 1
## [178,] 5 4 2 3 6
## [179,] 3 6 6 6 6
## [180,] 3 4 5 2 4
## [181,] 4 4 1 2 1
## [182,] 2 4 3 2 6
## [183,] 2 6 5 2 1
## [184,] 5 4 6 4 1
## [185,] 6 5 6 1 4
## [186,] 4 5 5 2 1
## [187,] 3 5 5 4 1
## [188,] 6 5 4 6 6
## [189,] 1 2 4 1 6
## [190,] 2 4 4 6 6
## [191,] 2 1 5 6 1
## [192,] 2 4 6 5 1
## [193,] 3 1 2 3 4
## [194,] 1 6 6 2 4
## [195,] 5 2 6 1 6
## [196,] 6 4 4 2 4
## [197,] 3 3 6 2 6
## [198,] 1 3 1 4 6
## [199,] 3 3 6 1 1
## [200,] 5 2 3 5 3
## [201,] 2 4 3 5 1
## [202,] 4 5 5 5 6
## [203,] 5 6 1 6 3
## [204,] 2 3 1 4 1
## [205,] 6 5 1 6 5
## [206,] 3 1 3 5 3
## [207,] 4 6 3 5 2
## [208,] 5 4 5 2 5
## [209,] 5 3 4 1 3
## [210,] 1 1 3 3 1
## [211,] 4 2 6 5 5
## [212,] 6 5 2 1 2
## [213,] 2 6 1 1 6
## [214,] 4 1 5 4 6
## [215,] 2 4 1 4 6
## [216,] 1 5 2 2 3
## [217,] 6 3 4 2 2
## [218,] 4 1 1 1 2
## [219,] 3 6 2 1 5
## [220,] 5 3 6 4 2
## [221,] 6 2 6 3 6
## [222,] 5 3 3 6 1
## [223,] 3 1 1 4 6
## [224,] 2 4 1 6 1
## [225,] 6 2 1 6 4
## [226,] 6 6 2 6 2
## [227,] 2 4 6 3 4
## [228,] 3 4 4 1 1
## [229,] 1 2 4 3 1
## [230,] 5 1 4 2 1
## [231,] 4 2 4 1 4
## [232,] 3 3 5 5 4
## [233,] 5 6 1 5 3
## [234,] 6 4 5 5 5
## [235,] 1 1 2 5 1
## [236,] 2 1 3 1 5
## [237,] 4 5 5 5 2
## [238,] 5 6 2 5 2
## [239,] 5 5 5 4 5
## [240,] 6 6 6 5 5
## [241,] 2 3 4 6 1
## [242,] 3 2 1 2 2
## [243,] 2 1 6 4 3
## [244,] 1 3 2 3 2
## [245,] 1 2 5 6 1
## [246,] 5 4 5 2 6
## [247,] 1 3 3 6 2
## [248,] 2 2 1 4 5
## [249,] 4 1 1 4 4
## [250,] 6 5 1 4 1
## [251,] 2 2 4 1 2
## [252,] 6 4 5 5 5
## [253,] 5 3 2 5 6
## [254,] 3 4 3 2 1
## [255,] 3 5 6 2 6
## [256,] 1 2 6 3 3
## [257,] 2 5 4 1 1
## [258,] 6 4 3 2 4
## [259,] 6 4 6 3 2
## [260,] 2 4 4 4 1
## [261,] 1 3 4 6 4
## [262,] 5 5 4 3 6
## [263,] 6 6 1 5 2
## [264,] 3 6 2 2 3
## [265,] 5 2 6 1 5
## [266,] 6 4 6 3 3
## [267,] 2 1 3 4 1
## [268,] 6 1 4 6 6
## [269,] 5 6 1 5 6
## [270,] 4 4 4 3 1
## [271,] 5 4 1 5 1
## [272,] 4 4 2 2 1
## [273,] 2 1 4 4 4
## [274,] 4 6 1 5 4
## [275,] 6 1 3 3 5
## [276,] 3 5 6 6 4
## [277,] 1 1 4 1 2
## [278,] 1 3 3 2 1
## [279,] 6 6 1 4 6
## [280,] 5 4 1 6 5
## [281,] 4 6 6 3 2
## [282,] 4 6 5 1 1
## [283,] 5 5 5 6 3
## [284,] 1 5 1 2 3
## [285,] 4 6 5 1 1
## [286,] 6 3 2 4 2
## [287,] 1 1 1 1 1
## [288,] 6 3 3 5 5
## [289,] 2 1 4 2 1
## [290,] 6 3 2 2 5
## [291,] 1 5 6 1 2
## [292,] 4 5 2 4 3
## [293,] 4 5 3 4 4
## [294,] 6 1 4 5 5
## [295,] 1 4 4 6 2
## [296,] 1 3 6 1 1
## [297,] 3 5 1 3 2
## [298,] 2 2 6 1 2
## [299,] 6 6 2 5 3
## [300,] 1 3 4 5 5
## [301,] 6 3 2 1 1
## [302,] 5 1 3 2 6
## [303,] 5 3 5 2 4
## [304,] 4 2 5 2 4
## [305,] 6 4 5 6 3
## [306,] 6 3 1 3 5
## [307,] 6 1 2 5 1
## [308,] 6 2 5 2 1
## [309,] 3 3 4 2 2
## [310,] 6 5 4 1 5
## [311,] 5 1 2 1 4
## [312,] 5 1 5 4 1
## [313,] 4 3 1 5 5
## [314,] 6 6 3 4 3
## [315,] 2 1 3 1 4
## [316,] 2 4 3 4 1
## [317,] 3 6 1 5 1
## [318,] 3 6 2 4 6
## [319,] 1 3 5 5 2
## [320,] 3 6 6 6 6
## [321,] 1 3 1 1 6
## [322,] 4 1 2 1 4
## [323,] 5 5 5 6 5
## [324,] 1 1 4 6 5
## [325,] 4 3 1 2 6
## [326,] 1 5 2 3 4
## [327,] 1 2 6 3 6
## [328,] 4 3 4 6 3
## [329,] 3 2 1 4 4
## [330,] 4 2 1 6 4
## [331,] 2 6 3 4 1
## [332,] 4 1 1 1 6
## [333,] 6 3 6 6 5
## [334,] 6 2 1 4 4
## [335,] 1 1 4 4 6
## [336,] 1 5 2 2 5
## [337,] 2 2 1 1 1
## [338,] 4 3 2 2 2
## [339,] 3 6 1 6 5
## [340,] 6 4 1 5 2
## [341,] 1 1 5 5 4
## [342,] 6 1 4 5 1
## [343,] 6 4 6 1 5
## [344,] 3 6 6 2 1
## [345,] 5 3 4 4 4
## [346,] 4 1 3 4 5
## [347,] 3 5 4 2 5
## [348,] 5 6 3 2 6
## [349,] 1 1 2 6 3
## [350,] 4 4 3 4 2
## [351,] 3 6 5 4 5
## [352,] 6 2 2 4 4
## [353,] 2 6 3 1 5
## [354,] 5 6 3 6 4
## [355,] 3 3 1 6 5
## [356,] 1 2 3 5 1
## [357,] 2 3 3 5 3
## [358,] 5 4 5 3 4
## [359,] 1 2 5 4 6
## [360,] 5 6 5 3 2
## [361,] 1 2 5 2 3
## [362,] 3 5 6 2 3
## [363,] 4 3 5 2 3
## [364,] 6 3 4 6 5
## [365,] 6 2 3 1 4
## [366,] 6 6 4 5 1
## [367,] 2 1 1 3 2
## [368,] 3 5 6 4 2
## [369,] 3 6 4 4 3
## [370,] 5 4 1 6 4
## [371,] 1 4 5 5 5
## [372,] 2 2 1 4 6
## [373,] 5 2 5 1 5
## [374,] 6 5 4 5 5
## [375,] 3 1 2 4 5
## [376,] 3 3 2 2 5
## [377,] 2 1 6 6 6
## [378,] 1 4 5 3 5
## [379,] 5 3 2 6 3
## [380,] 1 5 4 4 2
## [381,] 2 1 6 1 3
## [382,] 3 1 2 2 5
## [383,] 4 4 6 2 1
## [384,] 2 5 4 6 1
## [385,] 2 4 1 1 2
## [386,] 6 6 4 5 6
## [387,] 1 2 2 6 1
## [388,] 5 1 2 3 1
## [389,] 2 4 2 6 5
## [390,] 1 6 1 4 1
## [391,] 1 5 5 2 5
## [392,] 4 2 4 2 5
## [393,] 4 5 1 6 2
## [394,] 5 3 5 6 2
## [395,] 2 4 2 5 2
## [396,] 5 4 2 6 2
## [397,] 1 5 1 3 6
## [398,] 4 5 6 2 5
## [399,] 4 2 6 3 4
## [400,] 3 4 4 4 3
## [401,] 5 2 6 5 1
## [402,] 3 3 1 4 2
## [403,] 5 4 6 2 3
## [404,] 5 4 6 4 3
## [405,] 1 2 2 1 3
## [406,] 4 6 3 6 2
## [407,] 2 4 3 3 3
## [408,] 5 5 3 1 1
## [409,] 2 5 6 4 2
## [410,] 1 1 6 1 3
## [411,] 4 2 2 3 4
## [412,] 5 2 6 3 2
## [413,] 6 3 2 6 6
## [414,] 1 1 5 1 3
## [415,] 6 3 3 2 1
## [416,] 4 6 3 5 4
## [417,] 1 3 6 5 5
## [418,] 2 4 4 3 3
## [419,] 4 5 1 2 3
## [420,] 5 1 6 4 3
## [421,] 6 6 6 1 4
## [422,] 1 2 5 6 6
## [423,] 6 4 2 5 2
## [424,] 3 6 1 3 3
## [425,] 5 4 1 4 3
## [426,] 3 5 6 1 6
## [427,] 1 3 6 1 6
## [428,] 2 3 2 3 3
## [429,] 5 2 4 4 1
## [430,] 3 2 3 5 5
## [431,] 1 1 1 5 3
## [432,] 2 6 5 2 3
## [433,] 3 6 3 4 1
## [434,] 5 3 5 5 1
## [435,] 1 2 4 3 3
## [436,] 3 6 4 2 1
## [437,] 6 6 5 6 2
## [438,] 4 2 1 5 5
## [439,] 1 6 4 3 3
## [440,] 3 6 6 5 3
## [441,] 2 3 4 2 1
## [442,] 1 6 3 3 3
## [443,] 5 2 5 4 3
## [444,] 3 6 2 2 2
## [445,] 2 4 4 6 5
## [446,] 6 2 3 4 6
## [447,] 4 4 3 1 5
## [448,] 1 4 1 3 4
## [449,] 5 4 6 4 6
## [450,] 4 5 2 6 2
## [451,] 2 1 5 1 6
## [452,] 6 5 6 5 4
## [453,] 5 5 4 6 3
## [454,] 2 5 3 1 6
## [455,] 5 4 3 2 3
## [456,] 4 2 6 5 4
## [457,] 1 3 2 6 5
## [458,] 5 1 5 3 6
## [459,] 3 1 6 1 4
## [460,] 5 1 6 6 3
## [461,] 6 1 3 2 2
## [462,] 6 1 1 5 5
## [463,] 3 5 5 3 4
## [464,] 5 1 6 5 3
## [465,] 6 6 4 4 1
## [466,] 1 5 2 5 1
## [467,] 1 2 3 3 1
## [468,] 1 4 3 5 5
## [469,] 6 1 4 3 5
## [470,] 3 3 3 1 4
## [471,] 3 2 3 4 5
## [472,] 3 6 5 1 3
## [473,] 6 4 5 4 5
## [474,] 3 1 2 3 6
## [475,] 1 3 1 6 4
## [476,] 1 5 4 5 3
## [477,] 2 6 5 5 1
## [478,] 2 1 5 3 6
## [479,] 5 3 3 4 4
## [480,] 1 4 5 3 3
## [481,] 4 2 6 4 3
## [482,] 1 6 3 3 3
## [483,] 1 3 1 4 5
## [484,] 5 3 2 3 1
## [485,] 3 1 5 2 3
## [486,] 5 2 5 1 1
## [487,] 5 2 4 1 1
## [488,] 5 1 2 3 1
## [489,] 2 3 3 4 4
## [490,] 3 3 6 1 1
## [491,] 2 3 1 2 5
## [492,] 1 3 3 4 3
## [493,] 5 3 3 6 5
## [494,] 1 6 1 2 2
## [495,] 2 2 6 1 2
## [496,] 4 5 1 2 5
## [497,] 3 6 2 6 2
## [498,] 6 6 5 2 3
## [499,] 6 5 2 2 3
## [500,] 2 4 1 1 5
darray[2,1]
## [1] 2
darray[5,]
## [1] 1 3 4 1 6
darray[1:5,1:2]
## [,1] [,2]
## [1,] 3 1
## [2,] 2 6
## [3,] 5 4
## [4,] 2 3
## [5,] 1 3
hist(rowMeans(darray))
hist(rowSums(darray))
n1 <- NULL
n2 <- NULL
n3 <- NULL
n4 <- NULL
n5 <- NULL
n6 <- NULL
high <- NULL
for (i in 1:num_sims){
n1 <- rbind(n1,sum(darray[i,]%in%1))
n2 <- rbind(n2,sum(darray[i,]%in%2))
n3 <- rbind(n3,sum(darray[i,]%in%3))
n4 <- rbind(n4,sum(darray[i,]%in%4))
n5 <- rbind(n5,sum(darray[i,]%in%5))
n6 <- rbind(n6,sum(darray[i,]%in%6))
high <- rbind(high,max(n1[i],n2[i],n3[i],n4[i],n5[i],n6[i]))
}
table(n1); mean(n1)
## n1
## 0 1 2 3 5
## 187 211 83 18 1
## [1] 0.872
table(high); mean(high)
## high
## 1 2 3 4 5
## 41 354 98 6 1
## [1] 2.144
hist(high,main=paste(num_sims,"First Yatzee rolls"),xlab="#-of-a-kind",breaks=seq(.5,5.5,1))