R version 2.12.1 (2010-12-16) Copyright (C) 2010 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: i486-pc-linux-gnu (32-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- array(list('B' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'B' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Male' + ,'B' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Male' + ,'B' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Female' + ,'D' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Female' + ,'C' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Female' + ,'B' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Male' + ,'B' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Female' + ,'D' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Male' + ,'A' + 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,'B' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'B' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'B' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Female' + ,'D' + ,'Depression' + ,'Female' + ,'D' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Female' + ,'B' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Female' + ,'C' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Female' + ,'B' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + 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,'Depression' + ,'Male' + ,'B' + ,'Depression' + ,'Female' + ,'C' + ,'Depression' + ,'Female' + ,'A' + ,'Depression' + ,'Female' + ,'B' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Female' + ,'B' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'C' + ,'Depression' + ,'Male' + ,'D' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Depression' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Female' + ,'D' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Female' + ,'D' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Female' + ,'D' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Female' + ,'D' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Female' + ,'D' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Female' + ,'D' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Female' + ,'D' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'D' + ,'Connected' + ,'Male' + ,'D' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Female' + ,'C' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Female' + ,'A' + ,'Connected' + ,'Male' + ,'A' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Female' + ,'B' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male' + ,'C' + ,'Connected' + ,'Male' + ,'B' + ,'Connected' + ,'Male') + ,dim=c(3 + ,324) + ,dimnames=list(c('Score' + ,'Treatment' + ,'Gender') + ,1:324)) > y <- array(NA,dim=c(3,324),dimnames=list(c('Score','Treatment','Gender'),1:324)) > for (i in 1:dim(x)[1]) + { + for (j in 1:dim(x)[2]) + { + y[i,j] <- as.numeric(x[i,j]) + } + } There were 50 or more warnings (use warnings() to see the first 50) > par3 = 'Pearson Chi-Squared' > par2 = '2' > par1 = '1' > main = 'Association Plot' > 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] [,3] [1,] "B" "Depression" "Male" [2,] "C" "Depression" "Male" [3,] "A" "Depression" "Male" [4,] "B" "Depression" "Female" [5,] "A" "Depression" "Male" [6,] "B" "Depression" "Male" [7,] "A" "Depression" "Male" [8,] "C" "Depression" "Male" [9,] "D" "Depression" "Male" [10,] "B" "Depression" "Male" [11,] "D" "Depression" "Female" [12,] "D" "Depression" "Male" [13,] "A" "Depression" "Female" [14,] "A" "Depression" "Male" [15,] "D" "Depression" "Male" [16,] "A" "Depression" "Female" [17,] "A" "Depression" "Female" [18,] "C" "Depression" "Male" [19,] "D" "Depression" "Female" [20,] "B" "Depression" "Male" [21,] "D" "Depression" "Female" [22,] "A" "Depression" "Male" [23,] "B" "Depression" "Male" [24,] "A" "Depression" "Male" [25,] "C" "Depression" "Female" [26,] "D" "Depression" "Male" [27,] "C" "Depression" "Female" [28,] "A" "Depression" "Male" [29,] "A" "Depression" "Male" [30,] "B" "Depression" "Female" [31,] "D" "Depression" "Male" [32,] "A" "Depression" "Female" [33,] "D" "Depression" "Male" [34,] "C" "Depression" "Male" [35,] "B" "Depression" "Female" [36,] "D" "Depression" "Female" [37,] "A" "Depression" "Female" [38,] "B" "Depression" "Female" [39,] "D" "Depression" "Male" [40,] "D" "Depression" "Female" [41,] "D" "Depression" "Female" [42,] "A" "Depression" "Male" [43,] "D" "Depression" "Female" [44,] "A" "Depression" "Female" [45,] "C" "Depression" "Male" [46,] "B" "Depression" "Male" [47,] "D" "Depression" "Male" [48,] "C" "Depression" "Male" [49,] "A" "Depression" "Male" [50,] "C" "Depression" "Female" [51,] "D" "Depression" "Male" [52,] "A" "Depression" "Female" [53,] "A" "Depression" "Female" [54,] "A" "Depression" "Male" [55,] "C" "Depression" "Female" [56,] "B" "Depression" "Male" [57,] "B" "Depression" "Male" [58,] "D" "Depression" "Male" [59,] "D" "Depression" "Female" [60,] "A" "Depression" "Male" [61,] "A" "Depression" "Female" [62,] "B" "Depression" "Female" [63,] "B" "Depression" "Male" [64,] "A" "Depression" "Male" [65,] "B" "Depression" "Male" [66,] "C" "Depression" "Female" [67,] "A" "Depression" "Male" [68,] "B" "Depression" "Female" [69,] "B" "Depression" "Male" [70,] "A" "Depression" "Female" [71,] "B" "Depression" "Female" [72,] "A" "Depression" "Male" [73,] "B" "Depression" "Male" [74,] "D" "Depression" "Female" [75,] "C" "Depression" "Female" [76,] "A" "Depression" "Male" [77,] "B" "Depression" "Male" [78,] "A" "Depression" "Male" [79,] "B" "Depression" "Female" [80,] "D" "Depression" "Female" [81,] "C" "Depression" "Female" [82,] "D" "Depression" "Female" [83,] "D" "Depression" "Male" [84,] "B" "Depression" "Female" [85,] "B" "Depression" "Male" [86,] "B" "Depression" "Male" [87,] "B" "Depression" "Female" [88,] "B" "Depression" "Male" [89,] "A" "Depression" "Male" [90,] "A" "Depression" "Male" [91,] "B" "Depression" "Male" [92,] "A" "Depression" "Male" [93,] "B" "Depression" "Male" [94,] "A" "Depression" "Male" [95,] "D" "Depression" "Male" [96,] "C" "Depression" "Male" [97,] "A" "Depression" "Male" [98,] "C" "Depression" "Male" [99,] "C" "Depression" "Female" [100,] "D" "Depression" "Female" [101,] "D" "Depression" "Male" [102,] "A" "Depression" "Female" [103,] "B" "Depression" "Male" [104,] "C" "Depression" "Female" [105,] "A" "Depression" "Male" [106,] "A" "Depression" "Female" [107,] "C" "Depression" "Male" [108,] "A" "Depression" "Female" [109,] "A" "Depression" "Female" [110,] "A" "Depression" "Male" [111,] "A" "Depression" "Male" [112,] "A" "Depression" "Male" [113,] "C" "Depression" "Male" [114,] "A" "Depression" "Female" [115,] "B" "Depression" "Male" [116,] "D" "Depression" "Female" [117,] "A" "Depression" "Male" [118,] "B" "Depression" "Male" [119,] "D" "Depression" "Male" [120,] "A" "Depression" "Male" [121,] "A" "Depression" "Male" [122,] "A" "Depression" "Male" [123,] "C" "Depression" "Male" [124,] "D" "Depression" "Male" [125,] "C" "Depression" "Male" [126,] "C" "Depression" "Male" [127,] "D" "Depression" "Female" [128,] "D" "Depression" "Male" [129,] "C" "Depression" "Male" [130,] "B" "Depression" "Male" [131,] "C" "Depression" "Female" [132,] "A" "Depression" "Female" [133,] "D" "Depression" "Male" [134,] "A" "Depression" "Female" [135,] "B" "Depression" "Female" [136,] "A" "Depression" "Male" [137,] "A" "Depression" "Female" [138,] "A" "Depression" "Female" [139,] "A" "Depression" "Male" [140,] "C" "Depression" "Male" [141,] "B" "Depression" "Female" [142,] "D" "Depression" "Male" [143,] "A" "Depression" "Female" [144,] "B" "Depression" "Male" [145,] "B" "Depression" "Female" [146,] "C" "Depression" "Male" [147,] "B" "Depression" "Male" [148,] "B" "Depression" "Female" [149,] "C" "Depression" "Female" [150,] "A" "Depression" "Female" [151,] "B" "Depression" "Male" [152,] "A" "Depression" "Male" [153,] "D" "Depression" "Female" [154,] "B" "Depression" "Male" [155,] "A" "Depression" "Male" [156,] "A" "Depression" "Male" [157,] "A" "Depression" "Male" [158,] "A" "Depression" "Male" [159,] "C" "Depression" "Male" [160,] "D" "Depression" "Male" [161,] "A" "Depression" "Male" [162,] "A" "Depression" "Male" [163,] "A" "Connected" "Male" [164,] "A" "Connected" "Male" [165,] "D" "Connected" "Male" [166,] "D" "Connected" "Female" [167,] "B" "Connected" "Male" [168,] "B" "Connected" "Male" [169,] "A" "Connected" "Male" [170,] "B" "Connected" "Male" [171,] "B" "Connected" "Male" [172,] "A" "Connected" "Male" [173,] "A" "Connected" "Female" [174,] "B" "Connected" "Male" [175,] "A" "Connected" "Female" [176,] "A" "Connected" "Male" [177,] "C" "Connected" "Male" [178,] "C" "Connected" "Female" [179,] "B" "Connected" "Female" [180,] "A" "Connected" "Male" [181,] "A" "Connected" "Female" [182,] "C" "Connected" "Male" [183,] "C" "Connected" "Female" [184,] "D" "Connected" "Male" [185,] "A" "Connected" "Male" [186,] "A" "Connected" "Male" [187,] "A" "Connected" "Female" [188,] "A" "Connected" "Male" [189,] "B" "Connected" "Female" [190,] "C" "Connected" "Male" [191,] "C" "Connected" "Male" [192,] "B" "Connected" "Female" [193,] "D" "Connected" "Male" [194,] "D" "Connected" "Female" [195,] "A" "Connected" "Male" [196,] "B" "Connected" "Male" [197,] "B" "Connected" "Female" [198,] "C" "Connected" "Female" [199,] "D" "Connected" "Female" [200,] "B" "Connected" "Female" [201,] "D" "Connected" "Male" [202,] "B" "Connected" "Female" [203,] "A" "Connected" "Female" [204,] "B" "Connected" "Male" [205,] "A" "Connected" "Female" [206,] "B" "Connected" "Female" [207,] "A" "Connected" "Male" [208,] "A" "Connected" "Male" [209,] "A" "Connected" "Male" [210,] "C" "Connected" "Male" [211,] "B" "Connected" "Male" [212,] "A" "Connected" "Female" [213,] "C" "Connected" "Male" [214,] "C" "Connected" "Female" [215,] "C" "Connected" "Female" [216,] "B" "Connected" "Male" [217,] "C" "Connected" "Female" [218,] "A" "Connected" "Male" [219,] "A" "Connected" "Male" [220,] "D" "Connected" "Male" [221,] "A" "Connected" "Female" [222,] "B" "Connected" "Male" [223,] "D" "Connected" "Female" [224,] "A" "Connected" "Female" [225,] "B" "Connected" "Male" [226,] "D" "Connected" "Male" [227,] "B" "Connected" "Male" [228,] "B" "Connected" "Female" [229,] "B" "Connected" "Male" [230,] "D" "Connected" "Female" [231,] "A" "Connected" "Male" [232,] "B" "Connected" "Female" [233,] "A" "Connected" "Female" [234,] "D" "Connected" "Male" [235,] "B" "Connected" "Male" [236,] "A" "Connected" "Female" [237,] "B" "Connected" "Female" [238,] "A" "Connected" "Male" [239,] "A" "Connected" "Male" [240,] "B" "Connected" "Male" [241,] "D" "Connected" "Female" [242,] "A" "Connected" "Female" [243,] "C" "Connected" "Female" [244,] "A" "Connected" "Female" [245,] "B" "Connected" "Male" [246,] "A" "Connected" "Female" [247,] "C" "Connected" "Male" [248,] "C" "Connected" "Male" [249,] "A" "Connected" "Female" [250,] "C" "Connected" "Male" [251,] "D" "Connected" "Male" [252,] "C" "Connected" "Male" [253,] "D" "Connected" "Male" [254,] "B" "Connected" "Male" [255,] "B" "Connected" "Male" [256,] "C" "Connected" "Male" [257,] "D" "Connected" "Male" [258,] "A" "Connected" "Male" [259,] "A" "Connected" "Male" [260,] "B" "Connected" "Male" [261,] "A" "Connected" "Female" [262,] "C" "Connected" "Female" [263,] "A" "Connected" "Male" [264,] "A" "Connected" "Female" [265,] "B" "Connected" "Male" [266,] "C" "Connected" "Female" [267,] "C" "Connected" "Male" [268,] "A" "Connected" "Female" [269,] "A" "Connected" "Male" [270,] "A" "Connected" "Female" [271,] "B" "Connected" "Female" [272,] "A" "Connected" "Male" [273,] "D" "Connected" "Male" [274,] "D" "Connected" "Male" [275,] "C" "Connected" "Male" [276,] "C" "Connected" "Female" [277,] "A" "Connected" "Male" [278,] "A" "Connected" "Female" [279,] "C" "Connected" "Male" [280,] "B" "Connected" "Male" [281,] "C" "Connected" "Male" [282,] "A" "Connected" "Male" [283,] "C" "Connected" "Male" [284,] "D" "Connected" "Male" [285,] "A" "Connected" "Male" [286,] "A" "Connected" "Male" [287,] "C" "Connected" "Male" [288,] "D" "Connected" "Male" [289,] "A" "Connected" "Female" [290,] "A" "Connected" "Male" [291,] "C" "Connected" "Male" [292,] "B" "Connected" "Male" [293,] "C" "Connected" "Female" [294,] "D" "Connected" "Female" [295,] "A" "Connected" "Male" [296,] "D" "Connected" "Female" [297,] "A" "Connected" "Female" [298,] "C" "Connected" "Male" [299,] "D" "Connected" "Female" [300,] "B" "Connected" "Female" [301,] "D" "Connected" "Male" [302,] "B" "Connected" "Male" [303,] "D" "Connected" "Female" [304,] "C" "Connected" "Male" [305,] "D" "Connected" "Female" [306,] "D" "Connected" "Male" [307,] "D" "Connected" "Female" [308,] "A" "Connected" "Male" [309,] "C" "Connected" "Male" [310,] "B" "Connected" "Female" [311,] "C" "Connected" "Female" [312,] "B" "Connected" "Female" [313,] "A" "Connected" "Male" [314,] "A" "Connected" "Male" [315,] "B" "Connected" "Female" [316,] "B" "Connected" "Male" [317,] "B" "Connected" "Male" [318,] "C" "Connected" "Male" [319,] "B" "Connected" "Male" [320,] "C" "Connected" "Male" [321,] "C" "Connected" "Male" [322,] "B" "Connected" "Male" [323,] "C" "Connected" "Male" [324,] "B" "Connected" "Male" > (table1 <- table(z[,cat1],z[,cat2])) Connected Depression A 54 60 B 43 40 C 37 28 D 28 34 > (V1<-dimnames(y)[[1]][cat1]) [1] "Score" > (V2<-dimnames(y)[[1]][cat2]) [1] "Treatment" > postscript(file="/var/www/rcomp/tmp/1x86h1321102720.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > assoc(ftable(z[,cat1],z[,cat2],row.vars=1,dnn=c(V1,V2)),shade=T) > dev.off() null device 1 > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ', 1,TRUE) > for(nc in 1:ncol(table1)){ + a<-table.element(a, colnames(table1)[nc], 1, TRUE) + } > a<-table.row.end(a) > for(nr in 1:nrow(table1) ){ + a<-table.element(a, rownames(table1)[nr], 1, TRUE) + for(nc in 1:ncol(table1) ){ + a<-table.element(a, table1[nr, nc], 1, FALSE) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/23ti61321102720.tab") > (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) ) Pearson's Chi-squared test data: table1 X-squared = 2.251, df = 3, p-value = 0.522 > if (par3 == 'McNemar Chi-Squared') { + (cst <- mcnemar.test(table1)) + } > if (par3=='Fisher Exact Test') { + (cst <- fisher.test(table1)) + } > if ((par3 != 'McNemar Chi-Squared') & (par3 != 'Fisher Exact Test')) { + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a, ' ', 1,TRUE) + for(nc in 1:ncol(table1)){ + a<-table.element(a, colnames(table1)[nc], 1, TRUE) + } + a<-table.row.end(a) + for(nr in 1:nrow(table1) ){ + a<-table.element(a, rownames(table1)[nr], 1, TRUE) + for(nc in 1:ncol(table1) ){ + a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE) + } + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/www/rcomp/tmp/3cckg1321102720.tab") + } > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Statistical Results',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, cst$method, 2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > if (par3=='Pearson Chi-Squared') a<-table.element(a, 'Pearson Chi Square Statistic', 1, TRUE) > if (par3=='Exact Pearson Chi-Squared by Simulation') a<-table.element(a, 'Exact Pearson Chi Square Statistic', 1, TRUE) > if (par3=='McNemar Chi-Squared') a<-table.element(a, 'McNemar Chi Square Statistic', 1, TRUE) > if (par3=='Fisher Exact Test') a<-table.element(a, 'Odds Ratio', 1, TRUE) > if (par3=='Fisher Exact Test') { + if ((ncol(table1) == 2) & (nrow(table1) == 2)) { + a<-table.element(a, round(cst$estimate, digits=2), 1,FALSE) + } else { + a<-table.element(a, '--', 1,FALSE) + } + } else { + a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE) + } > a<-table.row.end(a) > if(!simulate.p.value){ + if(par3!='Fisher Exact Test') { + a<-table.row.start(a) + a<-table.element(a, 'Degrees of Freedom', 1, TRUE) + a<-table.element(a, cst$parameter, 1,FALSE) + a<-table.row.end(a) + } + } > a<-table.row.start(a) > a<-table.element(a, 'P value', 1, TRUE) > a<-table.element(a, round(cst$p.value, digits=2), 1,FALSE) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/4l2021321102720.tab") > > try(system("convert tmp/1x86h1321102720.ps tmp/1x86h1321102720.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.004 0.176 2.164