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Type 'q()' to quit R. > x <- array(list(87.28 + ,255 + ,87.28 + ,280.2 + ,87.09 + ,299.9 + ,86.92 + ,339.2 + ,87.59 + ,374.2 + ,90.72 + ,393.5 + ,90.69 + ,389.2 + ,90.3 + ,381.7 + ,89.55 + ,375.2 + ,88.94 + ,369 + ,88.41 + ,357.4 + ,87.82 + ,352.1 + ,87.07 + ,346.5 + ,86.82 + ,342.9 + ,86.4 + ,340.3 + ,86.02 + ,328.3 + ,85.66 + ,322.9 + ,85.32 + ,314.3 + ,85 + ,308.9 + ,84.67 + ,294 + ,83.94 + ,285.6 + ,82.83 + ,281.2 + ,81.95 + ,280.3 + ,81.19 + ,278.8 + ,80.48 + ,274.5 + ,78.86 + ,270.4 + ,69.47 + ,263.4 + ,68.77 + ,259.9 + ,70.06 + ,258 + ,73.95 + ,262.7 + ,75.8 + ,284.7 + ,77.79 + ,311.3 + ,81.57 + ,322.1 + ,83.07 + ,327 + ,84.34 + ,331.3 + ,85.1 + ,333.3 + ,85.25 + ,321.4 + ,84.26 + ,327 + ,83.63 + ,320 + ,86.44 + ,314.7 + ,85.3 + ,316.7 + ,84.1 + ,314.4 + ,83.36 + ,321.3 + ,82.48 + ,318.2 + ,81.58 + ,307.2 + ,80.47 + ,301.3 + ,79.34 + ,287.5 + ,82.13 + ,277.7 + ,81.69 + ,274.4 + ,80.7 + ,258.8 + ,79.88 + ,253.3 + ,79.16 + ,251 + ,78.38 + ,248.4 + ,77.42 + ,249.5 + ,76.47 + ,246.1 + ,75.46 + ,244.5 + ,74.48 + ,243.6 + ,78.27 + ,244 + ,80.7 + ,240.8 + ,79.91 + ,249.8 + ,78.75 + ,248 + ,77.78 + ,259.4 + ,81.14 + ,260.5 + ,81.08 + ,260.8 + ,80.03 + ,261.3 + ,78.91 + ,259.5 + ,78.01 + ,256.6 + ,76.9 + ,257.9 + ,75.97 + ,256.5 + ,81.93 + ,254.2 + ,80.27 + ,253.3 + ,78.67 + ,253.8 + ,77.42 + ,255.5 + ,76.16 + ,257.1 + ,74.7 + ,257.3 + ,76.39 + ,253.2 + ,76.04 + ,252.8 + ,74.65 + ,252 + ,73.29 + ,250.7 + ,71.79 + ,252.2 + ,74.39 + ,250 + ,74.91 + ,251 + ,74.54 + ,253.4 + ,73.08 + ,251.2 + ,72.75 + ,255.6 + ,71.32 + ,261.1 + ,70.38 + ,258.9 + ,70.35 + ,259.9 + ,70.01 + ,261.2 + ,69.36 + ,264.7 + ,67.77 + ,267.1 + ,69.26 + ,266.4 + ,69.8 + ,267.7 + ,68.38 + ,268.6 + ,67.62 + ,267.5 + ,68.39 + ,268.5 + ,66.95 + ,268.5 + ,65.21 + ,270.5 + ,66.64 + ,270.9 + ,63.45 + ,270.1 + ,60.66 + ,269.3 + ,62.34 + ,269.8 + ,60.32 + ,270.1 + ,58.64 + ,264.9 + ,60.46 + ,263.7 + ,58.59 + ,264.8 + ,61.87 + ,263.7 + ,61.85 + ,255.9 + ,67.44 + ,276.2 + ,77.06 + ,360.1 + ,91.74 + ,380.5 + ,93.15 + ,373.7 + ,94.15 + ,369.8 + ,93.11 + ,366.6 + ,91.51 + ,359.3 + ,89.96 + ,345.8 + ,88.16 + ,326.2 + ,86.98 + ,324.5 + ,88.03 + ,328.1 + ,86.24 + ,327.5 + ,84.65 + ,324.4 + ,83.23 + ,316.5 + ,81.7 + ,310.9 + ,80.25 + ,301.5 + ,78.8 + ,291.7 + ,77.51 + ,290.4 + ,76.2 + ,287.4 + ,75.04 + ,277.7 + ,74 + ,281.6 + ,75.49 + ,288 + ,77.14 + ,276 + ,76.15 + ,272.9 + ,76.27 + ,283 + ,78.19 + ,283.3 + ,76.49 + ,276.8 + ,77.31 + ,284.5 + ,76.65 + ,282.7 + ,74.99 + ,281.2 + ,73.51 + ,287.4 + ,72.07 + ,283.1 + ,70.59 + ,284 + ,71.96 + ,285.5 + ,76.29 + ,289.2 + ,74.86 + ,292.5 + ,74.93 + ,296.4 + ,71.9 + ,305.2 + ,71.01 + ,303.9 + ,77.47 + ,311.5 + ,75.78 + ,316.3 + ,76.6 + ,316.7 + ,76.07 + ,322.5 + ,74.57 + ,317.1 + ,73.02 + ,309.8 + ,72.65 + ,303.8 + ,73.16 + ,290.3 + ,71.53 + ,293.7 + ,69.78 + ,291.7 + ,67.98 + ,296.5 + ,69.96 + ,289.1 + ,72.16 + ,288.5 + ,70.47 + ,293.8 + ,68.86 + ,297.7 + ,67.37 + ,305.4 + ,65.87 + ,302.7 + ,72.16 + ,302.5 + ,71.34 + ,303 + ,69.93 + ,294.5 + ,68.44 + ,294.1 + ,67.16 + ,294.5 + ,66.01 + ,297.1 + ,67.25 + ,289.4 + ,70.91 + ,292.4 + ,69.75 + ,287.9 + ,68.59 + ,286.6 + ,67.48 + ,280.5 + ,66.31 + ,272.4 + ,64.81 + ,269.2 + ,66.58 + ,270.6 + ,65.97 + ,267.3 + ,64.7 + ,262.5 + ,64.7 + ,266.8 + ,60.94 + ,268.8 + ,59.08 + ,263.1 + ,58.42 + ,261.2 + ,57.77 + ,266 + ,57.11 + ,262.5 + ,53.31 + ,265.2 + ,49.96 + ,261.3 + ,49.4 + ,253.7 + ,48.84 + ,249.2 + ,48.3 + ,239.1 + ,47.74 + ,236.4 + ,47.24 + ,235.2 + ,46.76 + ,245.2 + ,46.29 + ,246.2 + ,48.9 + ,247.7 + ,49.23 + ,251.4 + ,48.53 + ,253.3 + ,48.03 + ,254.8 + ,54.34 + ,250 + ,53.79 + ,249.3 + ,53.24 + ,241.5 + ,52.96 + ,243.3 + ,52.17 + ,248 + ,51.7 + ,253 + ,58.55 + ,252.9 + ,78.2 + ,251.5 + ,77.03 + ,251.6 + ,76.19 + ,253.5 + ,77.15 + ,259.8 + ,75.87 + ,334.1 + ,95.47 + ,448 + ,109.67 + ,445.8 + ,112.28 + ,445 + ,112.01 + ,448.2 + ,107.93 + ,438.2 + ,105.96 + ,439.8 + ,105.06 + ,423.4 + ,102.98 + ,410.8 + ,102.2 + ,408.4 + ,105.23 + ,406.7 + ,101.85 + ,405.9 + ,99.89 + ,402.7 + ,96.23 + ,405.1 + ,94.76 + ,399.6 + ,91.51 + ,386.5 + ,91.63 + ,381.4 + ,91.54 + ,375.2 + ,85.23 + ,357.7 + ,87.83 + ,359 + ,87.38 + ,355 + ,84.44 + ,352.7 + ,85.19 + ,344.4 + ,84.03 + ,343.8 + ,86.73 + ,338 + ,102.52 + ,339 + ,104.45 + ,333.3 + ,106.98 + ,334.4 + ,107.02 + ,328.3 + ,99.26 + ,330.7 + ,94.45 + ,330 + ,113.44 + ,331.6 + ,157.33 + ,351.2 + ,147.38 + ,389.4 + ,171.89 + ,410.9 + ,171.95 + ,442.8 + ,132.71 + ,462.8 + ,126.02 + ,466.9 + ,121.18 + ,461.7 + ,115.45 + ,439.2 + ,110.48 + ,430.3 + ,117.85 + ,416.1 + ,117.63 + ,402.5 + ,124.65 + ,397.3 + ,109.59 + ,403.3 + ,111.27 + ,395.9 + ,99.78 + ,387.8 + ,98.21 + ,378.6 + ,99.2 + ,377.1 + ,97.97 + ,370.4 + ,89.55 + ,362 + ,87.91 + ,350.3 + ,93.34 + ,348.2 + ,94.42 + ,344.6 + ,93.2 + ,343.5 + ,90.29 + ,342.8 + ,91.46 + ,347.6 + ,89.98 + ,346.6 + ,88.35 + ,349.5 + ,88.41 + ,342.1 + ,82.44 + ,342 + ,79.89 + ,342.8 + ,75.69 + ,339.3 + ,75.66 + ,348.2 + ,84.5 + ,333.7 + ,96.73 + ,334.7 + ,87.48 + ,354 + ,82.39 + ,367.7 + ,83.48 + ,363.3 + ,79.31 + ,358.4 + ,78.16 + ,353.1 + ,72.77 + ,343.1 + ,72.45 + ,344.6 + ,68.46 + ,344.4 + ,67.62 + ,333.9 + ,68.76 + ,331.7 + ,70.07 + ,324.3 + ,68.55 + ,321.2 + ,65.3 + ,322.4 + ,58.96 + ,321.7 + ,59.17 + ,320.5 + ,62.37 + ,312.8 + ,66.28 + ,309.7 + ,55.62 + ,315.6 + ,55.23 + ,309.7 + ,55.85 + ,304.6 + ,56.75 + ,302.5 + ,50.89 + ,301.5 + ,53.88 + ,298.8 + ,52.95 + ,291.3 + ,55.08 + ,293.6 + ,53.61 + ,294.6 + ,58.78 + ,285.9 + ,61.85 + ,297.6 + ,55.91 + ,301.1 + ,53.32 + ,293.8 + ,46.41 + ,297.7 + ,44.57 + ,292.9 + ,50 + ,292.1 + ,50 + ,287.2 + ,53.36 + ,288.2 + ,46.23 + ,283.8 + ,50.45 + ,299.9 + ,49.07 + ,292.4 + ,45.85 + ,293.3 + ,48.45 + ,300.8 + ,49.96 + ,293.7 + ,46.53 + ,293.1 + ,50.51 + ,294.4 + ,47.58 + ,292.1 + ,48.05 + ,291.9 + ,46.84 + ,282.5 + ,47.67 + ,277.9 + ,49.16 + ,287.5 + ,55.54 + ,289.2 + ,55.82 + ,285.6 + ,58.22 + ,293.2 + ,56.19 + ,290.8 + ,57.77 + ,283.1 + ,63.19 + ,275 + ,54.76 + ,287.8 + ,55.74 + ,287.8 + ,62.54 + ,287.4 + ,61.39 + ,284 + ,69.6 + ,277.8 + ,79.23 + ,277.6 + ,80 + ,304.9 + ,93.68 + ,294 + ,107.63 + ,300.9 + ,100.18 + ,324 + ,97.3 + ,332.9 + ,90.45 + ,341.6 + ,80.64 + ,333.4 + ,80.58 + ,348.2 + ,75.82 + ,344.7 + ,85.59 + ,344.7 + ,89.35 + ,329.3 + ,89.42 + ,323.5 + ,104.73 + ,323.2 + ,95.32 + ,317.4 + ,89.27 + ,330.1 + ,90.44 + ,329.2 + ,86.97 + ,334.9 + ,79.98 + ,315.8 + ,81.22 + ,315.4 + ,87.35 + ,319.6 + ,83.64 + ,317.3 + ,82.22 + ,313.8 + ,94.4 + ,315.8 + ,102.18 + ,311.3) + ,dim=c(2 + ,360) + ,dimnames=list(c('Colombia' + ,'USA') + ,1:360)) > y <- array(NA,dim=c(2,360),dimnames=list(c('Colombia','USA'),1:360)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } > par3 = 'Pearson Chi-Squared' > par2 = '2' > par1 = '1' > main = 'Association Plot' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > library(vcd) Loading required package: MASS Loading required package: grid Loading required package: colorspace > cat1 <- as.numeric(par1) # > cat2<- as.numeric(par2) # > simulate.p.value=FALSE > if (par3 == 'Exact Pearson Chi-Squared by Simulation') simulate.p.value=TRUE > x <- t(x) > (z <- array(unlist(x),dim=c(length(x[,1]),length(x[1,])))) [,1] [,2] [1,] 87.28 255.0 [2,] 87.28 280.2 [3,] 87.09 299.9 [4,] 86.92 339.2 [5,] 87.59 374.2 [6,] 90.72 393.5 [7,] 90.69 389.2 [8,] 90.30 381.7 [9,] 89.55 375.2 [10,] 88.94 369.0 [11,] 88.41 357.4 [12,] 87.82 352.1 [13,] 87.07 346.5 [14,] 86.82 342.9 [15,] 86.40 340.3 [16,] 86.02 328.3 [17,] 85.66 322.9 [18,] 85.32 314.3 [19,] 85.00 308.9 [20,] 84.67 294.0 [21,] 83.94 285.6 [22,] 82.83 281.2 [23,] 81.95 280.3 [24,] 81.19 278.8 [25,] 80.48 274.5 [26,] 78.86 270.4 [27,] 69.47 263.4 [28,] 68.77 259.9 [29,] 70.06 258.0 [30,] 73.95 262.7 [31,] 75.80 284.7 [32,] 77.79 311.3 [33,] 81.57 322.1 [34,] 83.07 327.0 [35,] 84.34 331.3 [36,] 85.10 333.3 [37,] 85.25 321.4 [38,] 84.26 327.0 [39,] 83.63 320.0 [40,] 86.44 314.7 [41,] 85.30 316.7 [42,] 84.10 314.4 [43,] 83.36 321.3 [44,] 82.48 318.2 [45,] 81.58 307.2 [46,] 80.47 301.3 [47,] 79.34 287.5 [48,] 82.13 277.7 [49,] 81.69 274.4 [50,] 80.70 258.8 [51,] 79.88 253.3 [52,] 79.16 251.0 [53,] 78.38 248.4 [54,] 77.42 249.5 [55,] 76.47 246.1 [56,] 75.46 244.5 [57,] 74.48 243.6 [58,] 78.27 244.0 [59,] 80.70 240.8 [60,] 79.91 249.8 [61,] 78.75 248.0 [62,] 77.78 259.4 [63,] 81.14 260.5 [64,] 81.08 260.8 [65,] 80.03 261.3 [66,] 78.91 259.5 [67,] 78.01 256.6 [68,] 76.90 257.9 [69,] 75.97 256.5 [70,] 81.93 254.2 [71,] 80.27 253.3 [72,] 78.67 253.8 [73,] 77.42 255.5 [74,] 76.16 257.1 [75,] 74.70 257.3 [76,] 76.39 253.2 [77,] 76.04 252.8 [78,] 74.65 252.0 [79,] 73.29 250.7 [80,] 71.79 252.2 [81,] 74.39 250.0 [82,] 74.91 251.0 [83,] 74.54 253.4 [84,] 73.08 251.2 [85,] 72.75 255.6 [86,] 71.32 261.1 [87,] 70.38 258.9 [88,] 70.35 259.9 [89,] 70.01 261.2 [90,] 69.36 264.7 [91,] 67.77 267.1 [92,] 69.26 266.4 [93,] 69.80 267.7 [94,] 68.38 268.6 [95,] 67.62 267.5 [96,] 68.39 268.5 [97,] 66.95 268.5 [98,] 65.21 270.5 [99,] 66.64 270.9 [100,] 63.45 270.1 [101,] 60.66 269.3 [102,] 62.34 269.8 [103,] 60.32 270.1 [104,] 58.64 264.9 [105,] 60.46 263.7 [106,] 58.59 264.8 [107,] 61.87 263.7 [108,] 61.85 255.9 [109,] 67.44 276.2 [110,] 77.06 360.1 [111,] 91.74 380.5 [112,] 93.15 373.7 [113,] 94.15 369.8 [114,] 93.11 366.6 [115,] 91.51 359.3 [116,] 89.96 345.8 [117,] 88.16 326.2 [118,] 86.98 324.5 [119,] 88.03 328.1 [120,] 86.24 327.5 [121,] 84.65 324.4 [122,] 83.23 316.5 [123,] 81.70 310.9 [124,] 80.25 301.5 [125,] 78.80 291.7 [126,] 77.51 290.4 [127,] 76.20 287.4 [128,] 75.04 277.7 [129,] 74.00 281.6 [130,] 75.49 288.0 [131,] 77.14 276.0 [132,] 76.15 272.9 [133,] 76.27 283.0 [134,] 78.19 283.3 [135,] 76.49 276.8 [136,] 77.31 284.5 [137,] 76.65 282.7 [138,] 74.99 281.2 [139,] 73.51 287.4 [140,] 72.07 283.1 [141,] 70.59 284.0 [142,] 71.96 285.5 [143,] 76.29 289.2 [144,] 74.86 292.5 [145,] 74.93 296.4 [146,] 71.90 305.2 [147,] 71.01 303.9 [148,] 77.47 311.5 [149,] 75.78 316.3 [150,] 76.60 316.7 [151,] 76.07 322.5 [152,] 74.57 317.1 [153,] 73.02 309.8 [154,] 72.65 303.8 [155,] 73.16 290.3 [156,] 71.53 293.7 [157,] 69.78 291.7 [158,] 67.98 296.5 [159,] 69.96 289.1 [160,] 72.16 288.5 [161,] 70.47 293.8 [162,] 68.86 297.7 [163,] 67.37 305.4 [164,] 65.87 302.7 [165,] 72.16 302.5 [166,] 71.34 303.0 [167,] 69.93 294.5 [168,] 68.44 294.1 [169,] 67.16 294.5 [170,] 66.01 297.1 [171,] 67.25 289.4 [172,] 70.91 292.4 [173,] 69.75 287.9 [174,] 68.59 286.6 [175,] 67.48 280.5 [176,] 66.31 272.4 [177,] 64.81 269.2 [178,] 66.58 270.6 [179,] 65.97 267.3 [180,] 64.70 262.5 [181,] 64.70 266.8 [182,] 60.94 268.8 [183,] 59.08 263.1 [184,] 58.42 261.2 [185,] 57.77 266.0 [186,] 57.11 262.5 [187,] 53.31 265.2 [188,] 49.96 261.3 [189,] 49.40 253.7 [190,] 48.84 249.2 [191,] 48.30 239.1 [192,] 47.74 236.4 [193,] 47.24 235.2 [194,] 46.76 245.2 [195,] 46.29 246.2 [196,] 48.90 247.7 [197,] 49.23 251.4 [198,] 48.53 253.3 [199,] 48.03 254.8 [200,] 54.34 250.0 [201,] 53.79 249.3 [202,] 53.24 241.5 [203,] 52.96 243.3 [204,] 52.17 248.0 [205,] 51.70 253.0 [206,] 58.55 252.9 [207,] 78.20 251.5 [208,] 77.03 251.6 [209,] 76.19 253.5 [210,] 77.15 259.8 [211,] 75.87 334.1 [212,] 95.47 448.0 [213,] 109.67 445.8 [214,] 112.28 445.0 [215,] 112.01 448.2 [216,] 107.93 438.2 [217,] 105.96 439.8 [218,] 105.06 423.4 [219,] 102.98 410.8 [220,] 102.20 408.4 [221,] 105.23 406.7 [222,] 101.85 405.9 [223,] 99.89 402.7 [224,] 96.23 405.1 [225,] 94.76 399.6 [226,] 91.51 386.5 [227,] 91.63 381.4 [228,] 91.54 375.2 [229,] 85.23 357.7 [230,] 87.83 359.0 [231,] 87.38 355.0 [232,] 84.44 352.7 [233,] 85.19 344.4 [234,] 84.03 343.8 [235,] 86.73 338.0 [236,] 102.52 339.0 [237,] 104.45 333.3 [238,] 106.98 334.4 [239,] 107.02 328.3 [240,] 99.26 330.7 [241,] 94.45 330.0 [242,] 113.44 331.6 [243,] 157.33 351.2 [244,] 147.38 389.4 [245,] 171.89 410.9 [246,] 171.95 442.8 [247,] 132.71 462.8 [248,] 126.02 466.9 [249,] 121.18 461.7 [250,] 115.45 439.2 [251,] 110.48 430.3 [252,] 117.85 416.1 [253,] 117.63 402.5 [254,] 124.65 397.3 [255,] 109.59 403.3 [256,] 111.27 395.9 [257,] 99.78 387.8 [258,] 98.21 378.6 [259,] 99.20 377.1 [260,] 97.97 370.4 [261,] 89.55 362.0 [262,] 87.91 350.3 [263,] 93.34 348.2 [264,] 94.42 344.6 [265,] 93.20 343.5 [266,] 90.29 342.8 [267,] 91.46 347.6 [268,] 89.98 346.6 [269,] 88.35 349.5 [270,] 88.41 342.1 [271,] 82.44 342.0 [272,] 79.89 342.8 [273,] 75.69 339.3 [274,] 75.66 348.2 [275,] 84.50 333.7 [276,] 96.73 334.7 [277,] 87.48 354.0 [278,] 82.39 367.7 [279,] 83.48 363.3 [280,] 79.31 358.4 [281,] 78.16 353.1 [282,] 72.77 343.1 [283,] 72.45 344.6 [284,] 68.46 344.4 [285,] 67.62 333.9 [286,] 68.76 331.7 [287,] 70.07 324.3 [288,] 68.55 321.2 [289,] 65.30 322.4 [290,] 58.96 321.7 [291,] 59.17 320.5 [292,] 62.37 312.8 [293,] 66.28 309.7 [294,] 55.62 315.6 [295,] 55.23 309.7 [296,] 55.85 304.6 [297,] 56.75 302.5 [298,] 50.89 301.5 [299,] 53.88 298.8 [300,] 52.95 291.3 [301,] 55.08 293.6 [302,] 53.61 294.6 [303,] 58.78 285.9 [304,] 61.85 297.6 [305,] 55.91 301.1 [306,] 53.32 293.8 [307,] 46.41 297.7 [308,] 44.57 292.9 [309,] 50.00 292.1 [310,] 50.00 287.2 [311,] 53.36 288.2 [312,] 46.23 283.8 [313,] 50.45 299.9 [314,] 49.07 292.4 [315,] 45.85 293.3 [316,] 48.45 300.8 [317,] 49.96 293.7 [318,] 46.53 293.1 [319,] 50.51 294.4 [320,] 47.58 292.1 [321,] 48.05 291.9 [322,] 46.84 282.5 [323,] 47.67 277.9 [324,] 49.16 287.5 [325,] 55.54 289.2 [326,] 55.82 285.6 [327,] 58.22 293.2 [328,] 56.19 290.8 [329,] 57.77 283.1 [330,] 63.19 275.0 [331,] 54.76 287.8 [332,] 55.74 287.8 [333,] 62.54 287.4 [334,] 61.39 284.0 [335,] 69.60 277.8 [336,] 79.23 277.6 [337,] 80.00 304.9 [338,] 93.68 294.0 [339,] 107.63 300.9 [340,] 100.18 324.0 [341,] 97.30 332.9 [342,] 90.45 341.6 [343,] 80.64 333.4 [344,] 80.58 348.2 [345,] 75.82 344.7 [346,] 85.59 344.7 [347,] 89.35 329.3 [348,] 89.42 323.5 [349,] 104.73 323.2 [350,] 95.32 317.4 [351,] 89.27 330.1 [352,] 90.44 329.2 [353,] 86.97 334.9 [354,] 79.98 315.8 [355,] 81.22 315.4 [356,] 87.35 319.6 [357,] 83.64 317.3 [358,] 82.22 313.8 [359,] 94.40 315.8 [360,] 102.18 311.3 > (table1 <- table(z[,cat1],z[,cat2])) 235.2 236.4 239.1 240.8 241.5 243.3 243.6 244 244.5 245.2 246.1 246.2 44.57 0 0 0 0 0 0 0 0 0 0 0 0 45.85 0 0 0 0 0 0 0 0 0 0 0 0 46.23 0 0 0 0 0 0 0 0 0 0 0 0 46.29 0 0 0 0 0 0 0 0 0 0 0 1 46.41 0 0 0 0 0 0 0 0 0 0 0 0 46.53 0 0 0 0 0 0 0 0 0 0 0 0 46.76 0 0 0 0 0 0 0 0 0 1 0 0 46.84 0 0 0 0 0 0 0 0 0 0 0 0 47.24 1 0 0 0 0 0 0 0 0 0 0 0 47.58 0 0 0 0 0 0 0 0 0 0 0 0 47.67 0 0 0 0 0 0 0 0 0 0 0 0 47.74 0 1 0 0 0 0 0 0 0 0 0 0 48.03 0 0 0 0 0 0 0 0 0 0 0 0 48.05 0 0 0 0 0 0 0 0 0 0 0 0 48.3 0 0 1 0 0 0 0 0 0 0 0 0 48.45 0 0 0 0 0 0 0 0 0 0 0 0 48.53 0 0 0 0 0 0 0 0 0 0 0 0 48.84 0 0 0 0 0 0 0 0 0 0 0 0 48.9 0 0 0 0 0 0 0 0 0 0 0 0 49.07 0 0 0 0 0 0 0 0 0 0 0 0 49.16 0 0 0 0 0 0 0 0 0 0 0 0 49.23 0 0 0 0 0 0 0 0 0 0 0 0 49.4 0 0 0 0 0 0 0 0 0 0 0 0 49.96 0 0 0 0 0 0 0 0 0 0 0 0 50 0 0 0 0 0 0 0 0 0 0 0 0 50.45 0 0 0 0 0 0 0 0 0 0 0 0 50.51 0 0 0 0 0 0 0 0 0 0 0 0 50.89 0 0 0 0 0 0 0 0 0 0 0 0 51.7 0 0 0 0 0 0 0 0 0 0 0 0 52.17 0 0 0 0 0 0 0 0 0 0 0 0 52.95 0 0 0 0 0 0 0 0 0 0 0 0 52.96 0 0 0 0 0 1 0 0 0 0 0 0 53.24 0 0 0 0 1 0 0 0 0 0 0 0 53.31 0 0 0 0 0 0 0 0 0 0 0 0 53.32 0 0 0 0 0 0 0 0 0 0 0 0 53.36 0 0 0 0 0 0 0 0 0 0 0 0 53.61 0 0 0 0 0 0 0 0 0 0 0 0 53.79 0 0 0 0 0 0 0 0 0 0 0 0 53.88 0 0 0 0 0 0 0 0 0 0 0 0 54.34 0 0 0 0 0 0 0 0 0 0 0 0 54.76 0 0 0 0 0 0 0 0 0 0 0 0 55.08 0 0 0 0 0 0 0 0 0 0 0 0 55.23 0 0 0 0 0 0 0 0 0 0 0 0 55.54 0 0 0 0 0 0 0 0 0 0 0 0 55.62 0 0 0 0 0 0 0 0 0 0 0 0 55.74 0 0 0 0 0 0 0 0 0 0 0 0 55.82 0 0 0 0 0 0 0 0 0 0 0 0 55.85 0 0 0 0 0 0 0 0 0 0 0 0 55.91 0 0 0 0 0 0 0 0 0 0 0 0 56.19 0 0 0 0 0 0 0 0 0 0 0 0 56.75 0 0 0 0 0 0 0 0 0 0 0 0 57.11 0 0 0 0 0 0 0 0 0 0 0 0 57.77 0 0 0 0 0 0 0 0 0 0 0 0 58.22 0 0 0 0 0 0 0 0 0 0 0 0 58.42 0 0 0 0 0 0 0 0 0 0 0 0 58.55 0 0 0 0 0 0 0 0 0 0 0 0 58.59 0 0 0 0 0 0 0 0 0 0 0 0 58.64 0 0 0 0 0 0 0 0 0 0 0 0 58.78 0 0 0 0 0 0 0 0 0 0 0 0 58.96 0 0 0 0 0 0 0 0 0 0 0 0 59.08 0 0 0 0 0 0 0 0 0 0 0 0 59.17 0 0 0 0 0 0 0 0 0 0 0 0 60.32 0 0 0 0 0 0 0 0 0 0 0 0 60.46 0 0 0 0 0 0 0 0 0 0 0 0 60.66 0 0 0 0 0 0 0 0 0 0 0 0 60.94 0 0 0 0 0 0 0 0 0 0 0 0 61.39 0 0 0 0 0 0 0 0 0 0 0 0 61.85 0 0 0 0 0 0 0 0 0 0 0 0 61.87 0 0 0 0 0 0 0 0 0 0 0 0 62.34 0 0 0 0 0 0 0 0 0 0 0 0 62.37 0 0 0 0 0 0 0 0 0 0 0 0 62.54 0 0 0 0 0 0 0 0 0 0 0 0 63.19 0 0 0 0 0 0 0 0 0 0 0 0 63.45 0 0 0 0 0 0 0 0 0 0 0 0 64.7 0 0 0 0 0 0 0 0 0 0 0 0 64.81 0 0 0 0 0 0 0 0 0 0 0 0 65.21 0 0 0 0 0 0 0 0 0 0 0 0 65.3 0 0 0 0 0 0 0 0 0 0 0 0 65.87 0 0 0 0 0 0 0 0 0 0 0 0 65.97 0 0 0 0 0 0 0 0 0 0 0 0 66.01 0 0 0 0 0 0 0 0 0 0 0 0 66.28 0 0 0 0 0 0 0 0 0 0 0 0 66.31 0 0 0 0 0 0 0 0 0 0 0 0 66.58 0 0 0 0 0 0 0 0 0 0 0 0 66.64 0 0 0 0 0 0 0 0 0 0 0 0 66.95 0 0 0 0 0 0 0 0 0 0 0 0 67.16 0 0 0 0 0 0 0 0 0 0 0 0 67.25 0 0 0 0 0 0 0 0 0 0 0 0 67.37 0 0 0 0 0 0 0 0 0 0 0 0 67.44 0 0 0 0 0 0 0 0 0 0 0 0 67.48 0 0 0 0 0 0 0 0 0 0 0 0 67.62 0 0 0 0 0 0 0 0 0 0 0 0 67.77 0 0 0 0 0 0 0 0 0 0 0 0 67.98 0 0 0 0 0 0 0 0 0 0 0 0 68.38 0 0 0 0 0 0 0 0 0 0 0 0 68.39 0 0 0 0 0 0 0 0 0 0 0 0 68.44 0 0 0 0 0 0 0 0 0 0 0 0 68.46 0 0 0 0 0 0 0 0 0 0 0 0 68.55 0 0 0 0 0 0 0 0 0 0 0 0 68.59 0 0 0 0 0 0 0 0 0 0 0 0 68.76 0 0 0 0 0 0 0 0 0 0 0 0 68.77 0 0 0 0 0 0 0 0 0 0 0 0 68.86 0 0 0 0 0 0 0 0 0 0 0 0 69.26 0 0 0 0 0 0 0 0 0 0 0 0 69.36 0 0 0 0 0 0 0 0 0 0 0 0 69.47 0 0 0 0 0 0 0 0 0 0 0 0 69.6 0 0 0 0 0 0 0 0 0 0 0 0 69.75 0 0 0 0 0 0 0 0 0 0 0 0 69.78 0 0 0 0 0 0 0 0 0 0 0 0 69.8 0 0 0 0 0 0 0 0 0 0 0 0 69.93 0 0 0 0 0 0 0 0 0 0 0 0 69.96 0 0 0 0 0 0 0 0 0 0 0 0 70.01 0 0 0 0 0 0 0 0 0 0 0 0 70.06 0 0 0 0 0 0 0 0 0 0 0 0 70.07 0 0 0 0 0 0 0 0 0 0 0 0 70.35 0 0 0 0 0 0 0 0 0 0 0 0 70.38 0 0 0 0 0 0 0 0 0 0 0 0 70.47 0 0 0 0 0 0 0 0 0 0 0 0 70.59 0 0 0 0 0 0 0 0 0 0 0 0 70.91 0 0 0 0 0 0 0 0 0 0 0 0 71.01 0 0 0 0 0 0 0 0 0 0 0 0 71.32 0 0 0 0 0 0 0 0 0 0 0 0 71.34 0 0 0 0 0 0 0 0 0 0 0 0 71.53 0 0 0 0 0 0 0 0 0 0 0 0 71.79 0 0 0 0 0 0 0 0 0 0 0 0 71.9 0 0 0 0 0 0 0 0 0 0 0 0 71.96 0 0 0 0 0 0 0 0 0 0 0 0 72.07 0 0 0 0 0 0 0 0 0 0 0 0 72.16 0 0 0 0 0 0 0 0 0 0 0 0 72.45 0 0 0 0 0 0 0 0 0 0 0 0 72.65 0 0 0 0 0 0 0 0 0 0 0 0 72.75 0 0 0 0 0 0 0 0 0 0 0 0 72.77 0 0 0 0 0 0 0 0 0 0 0 0 73.02 0 0 0 0 0 0 0 0 0 0 0 0 73.08 0 0 0 0 0 0 0 0 0 0 0 0 73.16 0 0 0 0 0 0 0 0 0 0 0 0 73.29 0 0 0 0 0 0 0 0 0 0 0 0 73.51 0 0 0 0 0 0 0 0 0 0 0 0 73.95 0 0 0 0 0 0 0 0 0 0 0 0 74 0 0 0 0 0 0 0 0 0 0 0 0 74.39 0 0 0 0 0 0 0 0 0 0 0 0 74.48 0 0 0 0 0 0 1 0 0 0 0 0 74.54 0 0 0 0 0 0 0 0 0 0 0 0 74.57 0 0 0 0 0 0 0 0 0 0 0 0 74.65 0 0 0 0 0 0 0 0 0 0 0 0 74.7 0 0 0 0 0 0 0 0 0 0 0 0 74.86 0 0 0 0 0 0 0 0 0 0 0 0 74.91 0 0 0 0 0 0 0 0 0 0 0 0 74.93 0 0 0 0 0 0 0 0 0 0 0 0 74.99 0 0 0 0 0 0 0 0 0 0 0 0 75.04 0 0 0 0 0 0 0 0 0 0 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0 0 0 0 0 0 0 0 0 0 0 0 247.7 248 248.4 249.2 249.3 249.5 249.8 250 250.7 251 251.2 251.4 44.57 0 0 0 0 0 0 0 0 0 0 0 0 45.85 0 0 0 0 0 0 0 0 0 0 0 0 46.23 0 0 0 0 0 0 0 0 0 0 0 0 46.29 0 0 0 0 0 0 0 0 0 0 0 0 46.41 0 0 0 0 0 0 0 0 0 0 0 0 46.53 0 0 0 0 0 0 0 0 0 0 0 0 46.76 0 0 0 0 0 0 0 0 0 0 0 0 46.84 0 0 0 0 0 0 0 0 0 0 0 0 47.24 0 0 0 0 0 0 0 0 0 0 0 0 47.58 0 0 0 0 0 0 0 0 0 0 0 0 47.67 0 0 0 0 0 0 0 0 0 0 0 0 47.74 0 0 0 0 0 0 0 0 0 0 0 0 48.03 0 0 0 0 0 0 0 0 0 0 0 0 48.05 0 0 0 0 0 0 0 0 0 0 0 0 48.3 0 0 0 0 0 0 0 0 0 0 0 0 48.45 0 0 0 0 0 0 0 0 0 0 0 0 48.53 0 0 0 0 0 0 0 0 0 0 0 0 48.84 0 0 0 1 0 0 0 0 0 0 0 0 48.9 1 0 0 0 0 0 0 0 0 0 0 0 49.07 0 0 0 0 0 0 0 0 0 0 0 0 49.16 0 0 0 0 0 0 0 0 0 0 0 0 49.23 0 0 0 0 0 0 0 0 0 0 0 1 49.4 0 0 0 0 0 0 0 0 0 0 0 0 49.96 0 0 0 0 0 0 0 0 0 0 0 0 50 0 0 0 0 0 0 0 0 0 0 0 0 50.45 0 0 0 0 0 0 0 0 0 0 0 0 50.51 0 0 0 0 0 0 0 0 0 0 0 0 50.89 0 0 0 0 0 0 0 0 0 0 0 0 51.7 0 0 0 0 0 0 0 0 0 0 0 0 52.17 0 1 0 0 0 0 0 0 0 0 0 0 52.95 0 0 0 0 0 0 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