data/line.R
In brian-j-smith/boa: Bayesian Output Analysis Program (BOA) for MCMC
"line1" <-
structure(c(3.291, 2.899, 3.547, 1.929, 3.095, 3.937, 3.436,
2.228, 3.165, 2.552, 2.204, 3.239, 2.811, 3.286, 3.273, 3.326,
3.019, 3.09, 2.685, 2.594, 3.276, 3.409, 2.578, 5.322, 1.541,
3.637, 1.947, 3.216, 3.931, 3.437, 2.747, 2.391, 2.011, 2.481,
3.204, 3.297, 2.724, 2.378, 2.049, 2.761, 2.421, 2.739, 2.73,
2.58, 3.137, 2.913, 2.881, 3.072, 2.765, 3.102, 3.384, 3.098,
2.696, 2.981, 3.075, 2.837, 3.14, 3.099, 3.466, 1.873, 2.734,
2.828, 2.969, 2.757, 3.68, 2.139, 3.621, 2.838, 2.96, 3.926,
2.106, 3.693, 3.152, 2.856, 3.227, 3.411, 3.437, 3.406, 2.911,
3.066, 3.139, 2.241, 4.733, 3.426, 2.879, 2.713, 4.779, 3.115,
2.938, 3.095, 2.806, 2.99, 2.796, 2.93, 2.597, 3.594, 3.826,
4.619, 3.686, 2.624, 2.576, 3.157, 3.02, 2.982, 3.448, 3.633,
2.79, 3.132, 3.21, 3.323, 2.327, 2.801, 2.942, 2.852, 2.632,
2.84, 3.013, 2.906, 2.866, 2.991, 2.848, 3.398, 3.107, 3.177,
2.936, 2.248, 3.135, 2.369, 3.677, 3.166, 2.705, 3.135, 3.252,
2.588, 3.279, 2.636, 3.235, 2.118, 2.494, 3.8, 2.952, 3.535,
2.396, 3.226, 3.052, 2.785, 2.722, 2.885, 3.238, 2.474, 3.154,
3.398, 2.943, 3.1, 2.661, 2.785, 3.04, 3.22, 3.159, 2.622, 2.816,
2.624, 3.101, 2.86, 3.196, 2.729, 2.3, 2.855, 3.055, 2.705, 2.855,
2.806, 2.258, 4.524, 3.13, 3.106, 2.854, 2.67, 2.939, 3.746,
3.049, 3.01, 3.363, 3.532, 3.309, 3.268, 3.511, 3.334, 3.446,
3.559, 4.375, 2.591, 3.386, 3.189, 3.013, 2.803, 3.623, 2.584,
2.619, 2.335, 0.8657, 0.6988, 0.9652, 1.412, 0.2996, 1.04, 0.3352,
1.183, 0.515, 0.6461, 1.509, 0.684, 0.7364, 0.6325, 0.8749, 0.6578,
0.9568, 0.5173, 0.5258, 0.724, 0.844, 0.7475, 1.67, 1.946, -1.351,
0.184, 0.3106, 1.383, 1.432, 0.8443, 0.7076, 0.9643, 1.211, 0.5845,
0.8335, 0.7761, 0.6249, 0.8374, 0.4301, 1.491, 1.071, 0.995,
0.6412, 0.7639, 0.8125, 0.7639, 0.8456, 0.7161, 0.9111, 0.9856,
0.7666, 0.5617, 0.9838, 0.645, 0.3103, 0.9342, 0.6862, 0.9123,
1.192, 0.8365, 1.185, 0.9665, 1.093, 1.243, 1.092, 0.3442, 0.6385,
0.7955, 0.3843, 0.1762, 0.3118, 0.7496, 1.067, 0.6206, 0.733,
0.4535, 0.9998, 0.9224, 0.5175, 0.7835, 0.9549, 0.6921, 0.5643,
1.553, 0.4813, -0.02667, 0.8105, 1.191, 0.7896, 0.5583, 0.6048,
1.247, 0.9162, 0.627, 0.6227, 0.7919, 2.068, 0.93, 0.8093, 0.4493,
0.2446, 0.4366, 0.9089, 0.8045, 0.6451, 0.5236, 0.3047, 0.7713,
0.6871, 0.6608, 0.7851, 0.7516, 0.7, 0.8336, 0.7077, 0.939, 1.096,
0.9217, 0.8882, 0.6169, 0.7494, 0.9229, 1.22, 0.3389, 0.4667,
1.204, 1.205, 1.249, 0.7702, 0.7912, 0.7035, 1.085, 0.6458, 0.8874,
0.9743, 0.4484, 1.077, 0.915, 0.9994, 0.923, 0.2732, 1.779, 1.722,
1.347, 1.121, 0.9951, 0.9638, 0.7566, 0.909, 0.7578, 0.9209,
0.7585, 1.089, 0.5292, 0.8068, 0.8672, 0.672, 0.7889, 0.7941,
0.8885, 0.8639, 1.011, 0.5523, 0.6395, 0.5853, 0.6378, 0.5274,
0.7164, 0.5995, 0.8632, 0.9113, 0.9265, 0.714, 0.802, 0.381,
0.6896, 0.7784, 1.176, 0.7311, 0.7633, 0.7404, 0.8069, 0.9345,
0.9255, 0.6834, 1.17, 0.8442, 1.476, 0.8706, 0.7838, 0.2021,
0.7023, 0.7349, 0.768, 0.7564, 0.7773, 1.273, 0.5392, 1.054,
0.6684, 5.41, 1.938, 0.4892, 0.3268, 0.5707, 0.471, 0.6306, 0.3923,
3.139, 0.3304, 0.2565, 3.991, 3.134, 2.014, 1.897, 3.985, 2.375,
1.825, 1.712, 0.6318, 3.275, 0.7937, 0.119, 0.06185, 0.07389,
0.7954, 1.149, 0.5001, 0.3737, 1.431, 1.66, 0.5441, 2.455, 2.966,
3.314, 4.565, 0.6964, 0.6277, 0.684, 1.414, 0.9032, 2.706, 0.8404,
4.189, 5.418, 4.786, 4.666, 8.924, 7.088, 2.69, 2.983, 1.017,
1.298, 2.147, 0.8397, 1.295, 7.954, 0.8855, 0.2491, 1.19, 1.822,
5.795, 0.1494, 0.4652, 0.7778, 0.2703, 0.4592, 1.579, 0.658,
0.2561, 0.4883, 1.735, 0.4277, 2.543, 2.22, 1.18, 0.9848, 2.256,
2.57, 1.673, 1.242, 0.6786, 0.2323, 1.325, 0.6265, 0.34, 0.3585,
1.458, 1.905, 0.3724, 0.7422, 0.9047, 1.731, 3.178, 2.793, 0.2057,
0.3278, 0.5844, 1.572, 1.052, 0.1367, 3.064, 0.935, 2.564, 0.7134,
0.6668, 2.787, 2.38, 5.288, 0.74, 2.109, 4.058, 2.302, 6.45,
2.627, 3.298, 2.662, 8.119, 2.503, 4.338, 2.384, 0.7692, 2.235,
1.467, 1.555, 0.2057, 1.371, 0.5502, 1.244, 2.778, 0.9502, 4.161,
1.312, 0.5718, 1.311, 0.8622, 0.4017, 1.014, 0.2439, 0.7355,
0.6366, 0.3877, 0.4814, 1.21, 0.5654, 2.909, 6.243, 2.606, 3.276,
2.714, 1.815, 1.446, 3.987, 1.189, 1.207, 3.333, 2.021, 3.211,
2.742, 2.345, 2.823, 1.022, 1.851, 5.853, 2.964, 2.152, 0.9381,
5.767, 2.222, 1.495, 3.329, 1.442, 0.2131, 0.7709, 1.016, 1.103,
1.375, 0.669, 1.519, 3.62, 13.09, 3.568, 1.869, 1.042, 0.5221,
0.9137, 0.3842, 0.8802, 0.8786, 0.3038, 0.4709, 1.153, 2.916,
2.975, 4.553, 0.986, 0.568, 0.7919, 3.844, 0.9794), .Dim = c(200,
3), .Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8",
"9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19",
"20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30",
"31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41",
"42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52",
"53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63",
"64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74",
"75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85",
"86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96",
"97", "98", "99", "100", "101", "102", "103", "104", "105", "106",
"107", "108", "109", "110", "111", "112", "113", "114", "115",
"116", "117", "118", "119", "120", "121", "122", "123", "124",
"125", "126", "127", "128", "129", "130", "131", "132", "133",
"134", "135", "136", "137", "138", "139", "140", "141", "142",
"143", "144", "145", "146", "147", "148", "149", "150", "151",
"152", "153", "154", "155", "156", "157", "158", "159", "160",
"161", "162", "163", "164", "165", "166", "167", "168", "169",
"170", "171", "172", "173", "174", "175", "176", "177", "178",
"179", "180", "181", "182", "183", "184", "185", "186", "187",
"188", "189", "190", "191", "192", "193", "194", "195", "196",
"197", "198", "199", "200"), c("alpha", "beta", "tau")))
"line2" <-
structure(c(0.4071, 3.374, 5.036, -3.324, 1.082, 2.018, 4.2,
2.727, 3.128, 2.715, 3.288, 3.001, 2.818, 3.417, 3.264, 3.474,
2.844, 3.165, 3.145, 2.922, 3.058, 3.085, 2.888, 2.787, 3.372,
2.797, 2.905, 3.116, 2.182, 3.78, 4.313, 4.094, 1.411, 6.459,
3.153, 3.166, 2.871, 2.916, 2.991, 3.133, 2.812, 2.365, 3.154,
2.792, 3.036, 3.105, 3.233, 3.606, 2.378, 2.838, 2.936, 3.019,
3.017, 2.929, 3.731, 1.568, 2.658, 3.352, 3.578, 2.948, 2.992,
2.698, 3.744, 2.354, 2.766, 2.389, 2.963, 3.236, 3.14, 3.04,
2.805, 3.463, 2.892, 2.99, 2.573, 3.032, 2.658, 3.527, 2.993,
3.582, 2.73, 3.042, 3.125, 3.039, 3.128, 2.934, 3.287, 3.291,
3.454, 3.368, 2.368, 2.749, 2.541, 3.233, 3.041, 3.041, 3.211,
2.801, 3.365, 3.134, 3.036, 3.727, 3.35, 2.97, 2.961, 6.938,
6.065, 2.639, 5.576, 1.598, 2.941, 3.096, 3.096, 2.694, 3.198,
2.418, 3.451, 3.139, 3.437, 2.916, 3.022, 3.249, 2.739, 2.647,
3.401, 3.206, 3.895, 2.832, 3.159, 2.087, 1.425, 2.652, 3.02,
2.568, 3.417, 3.117, 2.889, 3.025, 3.763, 1.651, 4.04, 2.83,
3.151, 3.292, 3.092, 2.781, 2.305, 3.007, 3.052, 2.962, 3.178,
3.129, 2.739, 3.115, 2.173, 2.276, 2.987, 2.657, 2.964, 3.015,
2.917, 3.301, 3.207, 2.932, 2.859, 2.797, 3.179, 4.455, 2.71,
3.379, 2.859, 2.861, 3.022, 2.996, 2.899, 2.92, 2.678, 2.409,
3.039, 2.628, 3.551, 3.33, 3.21, 3.086, 2.549, 2.822, 3.964,
2.552, 2.236, 2.073, 2.563, 2.838, 3.348, 2.433, 3.057, 3.224,
3.057, 2.703, 3.277, 2.888, -2.545, -6.094, 10.75, 1.174, -0.5266,
1.786, 0.9255, 0.776, 0.8365, 1.061, 0.8841, 1.162, 0.5895, 0.6778,
0.1158, 0.726, 0.6547, 0.969, 0.6562, 0.955, 0.6723, 1.218, 0.8468,
0.9083, 0.6912, 0.7432, 1.129, 0.573, 0.491, 0.1881, -0.02517,
-0.1369, -0.5129, 0.7261, 0.7668, 0.8816, 0.7766, 0.8352, 0.815,
0.8023, 0.7372, 0.8134, 0.8441, 0.8025, 0.5243, 1.005, 1.101,
0.5984, 1.044, 0.7864, 0.9296, 0.5717, 0.5277, 0.6535, 1.316,
0.6586, 0.3742, 0.6326, 0.8058, 0.5333, 0.6427, 0.6797, 0.8493,
0.7044, 1.132, 0.9195, 0.6092, 0.7398, 0.9147, 0.8763, 1.284,
1.07, 0.6478, 0.772, 0.8919, 0.8916, 0.7358, 0.7508, 0.6808,
-0.1429, 0.2524, 0.6821, 0.8095, 0.8612, 0.7773, 1.025, 0.6838,
0.8985, 0.7923, 0.9135, 0.3517, 0.7154, 0.7312, 0.7016, 0.9884,
0.9268, 1.366, 1.242, 0.55, 0.4853, 0.5267, 0.6637, 0.8952, 0.8357,
1.438, 1.096, 0.1542, 2.795, 2.459, 0.774, 0.7261, 1.001, 0.8146,
1.274, 0.2095, 0.89, 0.7325, 0.5708, 0.5769, 0.6442, 0.7037,
0.7756, 1.213, 1.196, -0.2651, 1.168, 0.896, 1.085, 0.5355, 0.6663,
0.5544, 0.9695, 1.049, 0.9643, 0.7763, 0.8229, 0.7656, 0.9121,
0.8983, 0.5322, 1.185, 0.2036, 1.584, 0.9256, 0.8491, 0.5341,
0.8776, 0.8596, 0.6591, 1.292, 1.054, 0.5692, 0.7528, 0.2591,
2.533, 0.4042, 0.7761, 1.014, 0.7347, 0.4597, 1.068, 0.6943,
0.9664, 1.402, 0.6633, 0.6522, 0.956, 0.7246, 0.8728, 0.5997,
0.7467, 0.884, 0.7481, 1.108, 1.116, 0.9962, 1.019, 0.6493, 0.9588,
0.6631, 0.8239, 0.972, 0.7513, 1.093, 0.9868, 0.3392, 0.9911,
0.4658, 0.1672, 1.667, 1.142, 0.6084, 1.284, 0.5744, 0.1805,
1.234, 0.7837, 0.5396, 1.043, 1.144, 0.004219, 0.003385, 0.005706,
0.03079, 0.3034, 0.2886, 0.2981, 3.305, 1.136, 3.053, 2.617,
1.477, 0.7311, 0.4955, 0.7772, 5.667, 2.446, 2.297, 4.602, 1.97,
2.046, 1.41, 4.835, 3.405, 1.363, 3.749, 0.4527, 1.099, 0.2416,
0.4252, 0.1622, 0.1516, 0.0649, 0.1862, 2.58, 1.347, 1.467, 2.329,
4.896, 2.197, 2.036, 1.603, 3.903, 2.1, 2.252, 1.466, 1.695,
0.6975, 0.03857, 2.717, 1.978, 1.699, 1.634, 1.228, 0.3193, 0.5494,
2.318, 0.4211, 1.597, 1.183, 2.24, 2.46, 1.671, 0.7279, 1.33,
1.357, 2.887, 2.387, 2.159, 0.973, 0.2742, 1.822, 2.85, 2.349,
1.299, 2.303, 1.377, 1.846, 0.3339, 0.4064, 2.342, 6.075, 5.352,
2.644, 1.636, 1.857, 4.153, 0.4578, 1.194, 2.018, 1.302, 4.681,
3.295, 3.048, 7.951, 0.9859, 0.5569, 0.7749, 0.2944, 3.816, 2.45,
0.7346, 0.864, 0.6343, 0.05616, 0.09031, 0.03621, 0.03228, 0.1512,
0.3196, 6.253, 3.692, 0.3745, 0.7475, 0.5916, 1.266, 0.42, 0.6635,
3.698, 2.241, 1.803, 2.842, 1.951, 0.5159, 0.9825, 0.3425, 1.293,
2.492, 1.176, 0.2115, 0.2238, 1.959, 0.5682, 2.725, 5.883, 7.702,
4.214, 2.005, 0.5521, 0.8804, 1.284, 0.5704, 0.612, 3.345, 2.653,
1.406, 2.361, 7.103, 0.7975, 2.043, 2.678, 0.8606, 1.924, 0.09556,
0.2899, 1.287, 2.494, 1.581, 1.342, 0.8258, 3.665, 1.111, 0.5786,
0.5421, 3.593, 5.868, 0.1748, 0.8598, 3.537, 1.819, 1.871, 4.868,
1.368, 1.51, 2.054, 2.388, 0.7611, 1.457, 3.111, 2.431, 2.335,
1.694, 1.631, 4.555, 1.333, 0.3237, 0.9233, 0.3394, 0.361, 0.8626,
0.936, 3.783, 2.363, 1.194, 0.8516, 2.634, 3.379, 1.089, 1.249,
1.234), .Dim = c(200, 3), .Dimnames = list(c("1", "2", "3", "4",
"5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15",
"16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26",
"27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37",
"38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48",
"49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59",
"60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70",
"71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81",
"82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92",
"93", "94", "95", "96", "97", "98", "99", "100", "101", "102",
"103", "104", "105", "106", "107", "108", "109", "110", "111",
"112", "113", "114", "115", "116", "117", "118", "119", "120",
"121", "122", "123", "124", "125", "126", "127", "128", "129",
"130", "131", "132", "133", "134", "135", "136", "137", "138",
"139", "140", "141", "142", "143", "144", "145", "146", "147",
"148", "149", "150", "151", "152", "153", "154", "155", "156",
"157", "158", "159", "160", "161", "162", "163", "164", "165",
"166", "167", "168", "169", "170", "171", "172", "173", "174",
"175", "176", "177", "178", "179", "180", "181", "182", "183",
"184", "185", "186", "187", "188", "189", "190", "191", "192",
"193", "194", "195", "196", "197", "198", "199", "200"), c("alpha",
"beta", "tau")))
brian-j-smith/boa documentation built on May 12, 2019, 5:43 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
"line1" <-
structure(c(3.291, 2.899, 3.547, 1.929, 3.095, 3.937, 3.436,
2.228, 3.165, 2.552, 2.204, 3.239, 2.811, 3.286, 3.273, 3.326,
3.019, 3.09, 2.685, 2.594, 3.276, 3.409, 2.578, 5.322, 1.541,
3.637, 1.947, 3.216, 3.931, 3.437, 2.747, 2.391, 2.011, 2.481,
3.204, 3.297, 2.724, 2.378, 2.049, 2.761, 2.421, 2.739, 2.73,
2.58, 3.137, 2.913, 2.881, 3.072, 2.765, 3.102, 3.384, 3.098,
2.696, 2.981, 3.075, 2.837, 3.14, 3.099, 3.466, 1.873, 2.734,
2.828, 2.969, 2.757, 3.68, 2.139, 3.621, 2.838, 2.96, 3.926,
2.106, 3.693, 3.152, 2.856, 3.227, 3.411, 3.437, 3.406, 2.911,
3.066, 3.139, 2.241, 4.733, 3.426, 2.879, 2.713, 4.779, 3.115,
2.938, 3.095, 2.806, 2.99, 2.796, 2.93, 2.597, 3.594, 3.826,
4.619, 3.686, 2.624, 2.576, 3.157, 3.02, 2.982, 3.448, 3.633,
2.79, 3.132, 3.21, 3.323, 2.327, 2.801, 2.942, 2.852, 2.632,
2.84, 3.013, 2.906, 2.866, 2.991, 2.848, 3.398, 3.107, 3.177,
2.936, 2.248, 3.135, 2.369, 3.677, 3.166, 2.705, 3.135, 3.252,
2.588, 3.279, 2.636, 3.235, 2.118, 2.494, 3.8, 2.952, 3.535,
2.396, 3.226, 3.052, 2.785, 2.722, 2.885, 3.238, 2.474, 3.154,
3.398, 2.943, 3.1, 2.661, 2.785, 3.04, 3.22, 3.159, 2.622, 2.816,
2.624, 3.101, 2.86, 3.196, 2.729, 2.3, 2.855, 3.055, 2.705, 2.855,
2.806, 2.258, 4.524, 3.13, 3.106, 2.854, 2.67, 2.939, 3.746,
3.049, 3.01, 3.363, 3.532, 3.309, 3.268, 3.511, 3.334, 3.446,
3.559, 4.375, 2.591, 3.386, 3.189, 3.013, 2.803, 3.623, 2.584,
2.619, 2.335, 0.8657, 0.6988, 0.9652, 1.412, 0.2996, 1.04, 0.3352,
1.183, 0.515, 0.6461, 1.509, 0.684, 0.7364, 0.6325, 0.8749, 0.6578,
0.9568, 0.5173, 0.5258, 0.724, 0.844, 0.7475, 1.67, 1.946, -1.351,
0.184, 0.3106, 1.383, 1.432, 0.8443, 0.7076, 0.9643, 1.211, 0.5845,
0.8335, 0.7761, 0.6249, 0.8374, 0.4301, 1.491, 1.071, 0.995,
0.6412, 0.7639, 0.8125, 0.7639, 0.8456, 0.7161, 0.9111, 0.9856,
0.7666, 0.5617, 0.9838, 0.645, 0.3103, 0.9342, 0.6862, 0.9123,
1.192, 0.8365, 1.185, 0.9665, 1.093, 1.243, 1.092, 0.3442, 0.6385,
0.7955, 0.3843, 0.1762, 0.3118, 0.7496, 1.067, 0.6206, 0.733,
0.4535, 0.9998, 0.9224, 0.5175, 0.7835, 0.9549, 0.6921, 0.5643,
1.553, 0.4813, -0.02667, 0.8105, 1.191, 0.7896, 0.5583, 0.6048,
1.247, 0.9162, 0.627, 0.6227, 0.7919, 2.068, 0.93, 0.8093, 0.4493,
0.2446, 0.4366, 0.9089, 0.8045, 0.6451, 0.5236, 0.3047, 0.7713,
0.6871, 0.6608, 0.7851, 0.7516, 0.7, 0.8336, 0.7077, 0.939, 1.096,
0.9217, 0.8882, 0.6169, 0.7494, 0.9229, 1.22, 0.3389, 0.4667,
1.204, 1.205, 1.249, 0.7702, 0.7912, 0.7035, 1.085, 0.6458, 0.8874,
0.9743, 0.4484, 1.077, 0.915, 0.9994, 0.923, 0.2732, 1.779, 1.722,
1.347, 1.121, 0.9951, 0.9638, 0.7566, 0.909, 0.7578, 0.9209,
0.7585, 1.089, 0.5292, 0.8068, 0.8672, 0.672, 0.7889, 0.7941,
0.8885, 0.8639, 1.011, 0.5523, 0.6395, 0.5853, 0.6378, 0.5274,
0.7164, 0.5995, 0.8632, 0.9113, 0.9265, 0.714, 0.802, 0.381,
0.6896, 0.7784, 1.176, 0.7311, 0.7633, 0.7404, 0.8069, 0.9345,
0.9255, 0.6834, 1.17, 0.8442, 1.476, 0.8706, 0.7838, 0.2021,
0.7023, 0.7349, 0.768, 0.7564, 0.7773, 1.273, 0.5392, 1.054,
0.6684, 5.41, 1.938, 0.4892, 0.3268, 0.5707, 0.471, 0.6306, 0.3923,
3.139, 0.3304, 0.2565, 3.991, 3.134, 2.014, 1.897, 3.985, 2.375,
1.825, 1.712, 0.6318, 3.275, 0.7937, 0.119, 0.06185, 0.07389,
0.7954, 1.149, 0.5001, 0.3737, 1.431, 1.66, 0.5441, 2.455, 2.966,
3.314, 4.565, 0.6964, 0.6277, 0.684, 1.414, 0.9032, 2.706, 0.8404,
4.189, 5.418, 4.786, 4.666, 8.924, 7.088, 2.69, 2.983, 1.017,
1.298, 2.147, 0.8397, 1.295, 7.954, 0.8855, 0.2491, 1.19, 1.822,
5.795, 0.1494, 0.4652, 0.7778, 0.2703, 0.4592, 1.579, 0.658,
0.2561, 0.4883, 1.735, 0.4277, 2.543, 2.22, 1.18, 0.9848, 2.256,
2.57, 1.673, 1.242, 0.6786, 0.2323, 1.325, 0.6265, 0.34, 0.3585,
1.458, 1.905, 0.3724, 0.7422, 0.9047, 1.731, 3.178, 2.793, 0.2057,
0.3278, 0.5844, 1.572, 1.052, 0.1367, 3.064, 0.935, 2.564, 0.7134,
0.6668, 2.787, 2.38, 5.288, 0.74, 2.109, 4.058, 2.302, 6.45,
2.627, 3.298, 2.662, 8.119, 2.503, 4.338, 2.384, 0.7692, 2.235,
1.467, 1.555, 0.2057, 1.371, 0.5502, 1.244, 2.778, 0.9502, 4.161,
1.312, 0.5718, 1.311, 0.8622, 0.4017, 1.014, 0.2439, 0.7355,
0.6366, 0.3877, 0.4814, 1.21, 0.5654, 2.909, 6.243, 2.606, 3.276,
2.714, 1.815, 1.446, 3.987, 1.189, 1.207, 3.333, 2.021, 3.211,
2.742, 2.345, 2.823, 1.022, 1.851, 5.853, 2.964, 2.152, 0.9381,
5.767, 2.222, 1.495, 3.329, 1.442, 0.2131, 0.7709, 1.016, 1.103,
1.375, 0.669, 1.519, 3.62, 13.09, 3.568, 1.869, 1.042, 0.5221,
0.9137, 0.3842, 0.8802, 0.8786, 0.3038, 0.4709, 1.153, 2.916,
2.975, 4.553, 0.986, 0.568, 0.7919, 3.844, 0.9794), .Dim = c(200,
3), .Dimnames = list(c("1", "2", "3", "4", "5", "6", "7", "8",
"9", "10", "11", "12", "13", "14", "15", "16", "17", "18", "19",
"20", "21", "22", "23", "24", "25", "26", "27", "28", "29", "30",
"31", "32", "33", "34", "35", "36", "37", "38", "39", "40", "41",
"42", "43", "44", "45", "46", "47", "48", "49", "50", "51", "52",
"53", "54", "55", "56", "57", "58", "59", "60", "61", "62", "63",
"64", "65", "66", "67", "68", "69", "70", "71", "72", "73", "74",
"75", "76", "77", "78", "79", "80", "81", "82", "83", "84", "85",
"86", "87", "88", "89", "90", "91", "92", "93", "94", "95", "96",
"97", "98", "99", "100", "101", "102", "103", "104", "105", "106",
"107", "108", "109", "110", "111", "112", "113", "114", "115",
"116", "117", "118", "119", "120", "121", "122", "123", "124",
"125", "126", "127", "128", "129", "130", "131", "132", "133",
"134", "135", "136", "137", "138", "139", "140", "141", "142",
"143", "144", "145", "146", "147", "148", "149", "150", "151",
"152", "153", "154", "155", "156", "157", "158", "159", "160",
"161", "162", "163", "164", "165", "166", "167", "168", "169",
"170", "171", "172", "173", "174", "175", "176", "177", "178",
"179", "180", "181", "182", "183", "184", "185", "186", "187",
"188", "189", "190", "191", "192", "193", "194", "195", "196",
"197", "198", "199", "200"), c("alpha", "beta", "tau")))
"line2" <-
structure(c(0.4071, 3.374, 5.036, -3.324, 1.082, 2.018, 4.2,
2.727, 3.128, 2.715, 3.288, 3.001, 2.818, 3.417, 3.264, 3.474,
2.844, 3.165, 3.145, 2.922, 3.058, 3.085, 2.888, 2.787, 3.372,
2.797, 2.905, 3.116, 2.182, 3.78, 4.313, 4.094, 1.411, 6.459,
3.153, 3.166, 2.871, 2.916, 2.991, 3.133, 2.812, 2.365, 3.154,
2.792, 3.036, 3.105, 3.233, 3.606, 2.378, 2.838, 2.936, 3.019,
3.017, 2.929, 3.731, 1.568, 2.658, 3.352, 3.578, 2.948, 2.992,
2.698, 3.744, 2.354, 2.766, 2.389, 2.963, 3.236, 3.14, 3.04,
2.805, 3.463, 2.892, 2.99, 2.573, 3.032, 2.658, 3.527, 2.993,
3.582, 2.73, 3.042, 3.125, 3.039, 3.128, 2.934, 3.287, 3.291,
3.454, 3.368, 2.368, 2.749, 2.541, 3.233, 3.041, 3.041, 3.211,
2.801, 3.365, 3.134, 3.036, 3.727, 3.35, 2.97, 2.961, 6.938,
6.065, 2.639, 5.576, 1.598, 2.941, 3.096, 3.096, 2.694, 3.198,
2.418, 3.451, 3.139, 3.437, 2.916, 3.022, 3.249, 2.739, 2.647,
3.401, 3.206, 3.895, 2.832, 3.159, 2.087, 1.425, 2.652, 3.02,
2.568, 3.417, 3.117, 2.889, 3.025, 3.763, 1.651, 4.04, 2.83,
3.151, 3.292, 3.092, 2.781, 2.305, 3.007, 3.052, 2.962, 3.178,
3.129, 2.739, 3.115, 2.173, 2.276, 2.987, 2.657, 2.964, 3.015,
2.917, 3.301, 3.207, 2.932, 2.859, 2.797, 3.179, 4.455, 2.71,
3.379, 2.859, 2.861, 3.022, 2.996, 2.899, 2.92, 2.678, 2.409,
3.039, 2.628, 3.551, 3.33, 3.21, 3.086, 2.549, 2.822, 3.964,
2.552, 2.236, 2.073, 2.563, 2.838, 3.348, 2.433, 3.057, 3.224,
3.057, 2.703, 3.277, 2.888, -2.545, -6.094, 10.75, 1.174, -0.5266,
1.786, 0.9255, 0.776, 0.8365, 1.061, 0.8841, 1.162, 0.5895, 0.6778,
0.1158, 0.726, 0.6547, 0.969, 0.6562, 0.955, 0.6723, 1.218, 0.8468,
0.9083, 0.6912, 0.7432, 1.129, 0.573, 0.491, 0.1881, -0.02517,
-0.1369, -0.5129, 0.7261, 0.7668, 0.8816, 0.7766, 0.8352, 0.815,
0.8023, 0.7372, 0.8134, 0.8441, 0.8025, 0.5243, 1.005, 1.101,
0.5984, 1.044, 0.7864, 0.9296, 0.5717, 0.5277, 0.6535, 1.316,
0.6586, 0.3742, 0.6326, 0.8058, 0.5333, 0.6427, 0.6797, 0.8493,
0.7044, 1.132, 0.9195, 0.6092, 0.7398, 0.9147, 0.8763, 1.284,
1.07, 0.6478, 0.772, 0.8919, 0.8916, 0.7358, 0.7508, 0.6808,
-0.1429, 0.2524, 0.6821, 0.8095, 0.8612, 0.7773, 1.025, 0.6838,
0.8985, 0.7923, 0.9135, 0.3517, 0.7154, 0.7312, 0.7016, 0.9884,
0.9268, 1.366, 1.242, 0.55, 0.4853, 0.5267, 0.6637, 0.8952, 0.8357,
1.438, 1.096, 0.1542, 2.795, 2.459, 0.774, 0.7261, 1.001, 0.8146,
1.274, 0.2095, 0.89, 0.7325, 0.5708, 0.5769, 0.6442, 0.7037,
0.7756, 1.213, 1.196, -0.2651, 1.168, 0.896, 1.085, 0.5355, 0.6663,
0.5544, 0.9695, 1.049, 0.9643, 0.7763, 0.8229, 0.7656, 0.9121,
0.8983, 0.5322, 1.185, 0.2036, 1.584, 0.9256, 0.8491, 0.5341,
0.8776, 0.8596, 0.6591, 1.292, 1.054, 0.5692, 0.7528, 0.2591,
2.533, 0.4042, 0.7761, 1.014, 0.7347, 0.4597, 1.068, 0.6943,
0.9664, 1.402, 0.6633, 0.6522, 0.956, 0.7246, 0.8728, 0.5997,
0.7467, 0.884, 0.7481, 1.108, 1.116, 0.9962, 1.019, 0.6493, 0.9588,
0.6631, 0.8239, 0.972, 0.7513, 1.093, 0.9868, 0.3392, 0.9911,
0.4658, 0.1672, 1.667, 1.142, 0.6084, 1.284, 0.5744, 0.1805,
1.234, 0.7837, 0.5396, 1.043, 1.144, 0.004219, 0.003385, 0.005706,
0.03079, 0.3034, 0.2886, 0.2981, 3.305, 1.136, 3.053, 2.617,
1.477, 0.7311, 0.4955, 0.7772, 5.667, 2.446, 2.297, 4.602, 1.97,
2.046, 1.41, 4.835, 3.405, 1.363, 3.749, 0.4527, 1.099, 0.2416,
0.4252, 0.1622, 0.1516, 0.0649, 0.1862, 2.58, 1.347, 1.467, 2.329,
4.896, 2.197, 2.036, 1.603, 3.903, 2.1, 2.252, 1.466, 1.695,
0.6975, 0.03857, 2.717, 1.978, 1.699, 1.634, 1.228, 0.3193, 0.5494,
2.318, 0.4211, 1.597, 1.183, 2.24, 2.46, 1.671, 0.7279, 1.33,
1.357, 2.887, 2.387, 2.159, 0.973, 0.2742, 1.822, 2.85, 2.349,
1.299, 2.303, 1.377, 1.846, 0.3339, 0.4064, 2.342, 6.075, 5.352,
2.644, 1.636, 1.857, 4.153, 0.4578, 1.194, 2.018, 1.302, 4.681,
3.295, 3.048, 7.951, 0.9859, 0.5569, 0.7749, 0.2944, 3.816, 2.45,
0.7346, 0.864, 0.6343, 0.05616, 0.09031, 0.03621, 0.03228, 0.1512,
0.3196, 6.253, 3.692, 0.3745, 0.7475, 0.5916, 1.266, 0.42, 0.6635,
3.698, 2.241, 1.803, 2.842, 1.951, 0.5159, 0.9825, 0.3425, 1.293,
2.492, 1.176, 0.2115, 0.2238, 1.959, 0.5682, 2.725, 5.883, 7.702,
4.214, 2.005, 0.5521, 0.8804, 1.284, 0.5704, 0.612, 3.345, 2.653,
1.406, 2.361, 7.103, 0.7975, 2.043, 2.678, 0.8606, 1.924, 0.09556,
0.2899, 1.287, 2.494, 1.581, 1.342, 0.8258, 3.665, 1.111, 0.5786,
0.5421, 3.593, 5.868, 0.1748, 0.8598, 3.537, 1.819, 1.871, 4.868,
1.368, 1.51, 2.054, 2.388, 0.7611, 1.457, 3.111, 2.431, 2.335,
1.694, 1.631, 4.555, 1.333, 0.3237, 0.9233, 0.3394, 0.361, 0.8626,
0.936, 3.783, 2.363, 1.194, 0.8516, 2.634, 3.379, 1.089, 1.249,
1.234), .Dim = c(200, 3), .Dimnames = list(c("1", "2", "3", "4",
"5", "6", "7", "8", "9", "10", "11", "12", "13", "14", "15",
"16", "17", "18", "19", "20", "21", "22", "23", "24", "25", "26",
"27", "28", "29", "30", "31", "32", "33", "34", "35", "36", "37",
"38", "39", "40", "41", "42", "43", "44", "45", "46", "47", "48",
"49", "50", "51", "52", "53", "54", "55", "56", "57", "58", "59",
"60", "61", "62", "63", "64", "65", "66", "67", "68", "69", "70",
"71", "72", "73", "74", "75", "76", "77", "78", "79", "80", "81",
"82", "83", "84", "85", "86", "87", "88", "89", "90", "91", "92",
"93", "94", "95", "96", "97", "98", "99", "100", "101", "102",
"103", "104", "105", "106", "107", "108", "109", "110", "111",
"112", "113", "114", "115", "116", "117", "118", "119", "120",
"121", "122", "123", "124", "125", "126", "127", "128", "129",
"130", "131", "132", "133", "134", "135", "136", "137", "138",
"139", "140", "141", "142", "143", "144", "145", "146", "147",
"148", "149", "150", "151", "152", "153", "154", "155", "156",
"157", "158", "159", "160", "161", "162", "163", "164", "165",
"166", "167", "168", "169", "170", "171", "172", "173", "174",
"175", "176", "177", "178", "179", "180", "181", "182", "183",
"184", "185", "186", "187", "188", "189", "190", "191", "192",
"193", "194", "195", "196", "197", "198", "199", "200"), c("alpha",
"beta", "tau")))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.