R version 2.11.1 (2010-05-31) Copyright (C) 2010 The R Foundation for Statistical Computing ISBN 3-900051-07-0 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('HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'LO' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Separate' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression' + ,'LO' + ,'Depression' + ,'LO' + ,'Depression' + ,'HI' + ,'Depression' + ,'HI' + ,'Depression') + ,dim=c(2 + ,324) + ,dimnames=list(c('Score' + ,'Construct ') + ,1:324)) > y <- array(NA,dim=c(2,324),dimnames=list(c('Score','Construct '),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' > #'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,] "HI" "Separate" [2,] "LO" "Separate" [3,] "HI" "Separate" [4,] "LO" "Separate" [5,] "HI" "Separate" [6,] "LO" "Separate" [7,] "LO" "Separate" [8,] "HI" "Separate" [9,] "HI" "Separate" [10,] "HI" "Separate" [11,] "LO" "Separate" [12,] "HI" "Separate" [13,] "HI" "Separate" [14,] "HI" "Separate" [15,] "HI" "Separate" [16,] "LO" "Separate" [17,] "LO" "Separate" [18,] "HI" "Separate" [19,] "HI" "Separate" [20,] "LO" "Separate" [21,] "LO" "Separate" [22,] "LO" "Separate" [23,] "HI" "Separate" [24,] "HI" "Separate" [25,] "LO" "Separate" [26,] "LO" "Separate" [27,] "HI" "Separate" [28,] "HI" "Separate" [29,] "LO" "Separate" [30,] "LO" "Separate" [31,] "LO" "Separate" [32,] "LO" "Separate" [33,] "LO" "Separate" [34,] "HI" "Separate" [35,] "LO" "Separate" [36,] "LO" "Separate" [37,] "LO" "Separate" [38,] "LO" "Separate" [39,] "LO" "Separate" [40,] "LO" "Separate" [41,] "LO" "Separate" [42,] "LO" "Separate" [43,] "LO" "Separate" [44,] "LO" "Separate" [45,] "LO" "Separate" [46,] "HI" "Separate" [47,] "HI" "Separate" [48,] "HI" "Separate" [49,] "HI" "Separate" [50,] "LO" "Separate" [51,] "HI" "Separate" [52,] "LO" "Separate" [53,] "LO" "Separate" [54,] "HI" "Separate" [55,] "LO" "Separate" [56,] "LO" "Separate" [57,] "HI" "Separate" [58,] "HI" "Separate" [59,] "HI" "Separate" [60,] "HI" "Separate" [61,] "LO" "Separate" [62,] "HI" "Separate" [63,] "HI" "Separate" [64,] "HI" "Separate" [65,] "LO" "Separate" [66,] "HI" "Separate" [67,] "HI" "Separate" [68,] "LO" "Separate" [69,] "HI" "Separate" [70,] "HI" "Separate" [71,] "HI" "Separate" [72,] "HI" "Separate" [73,] "HI" "Separate" [74,] "HI" "Separate" [75,] "LO" "Separate" [76,] "LO" "Separate" [77,] "HI" "Separate" [78,] "LO" "Separate" [79,] "LO" "Separate" [80,] "LO" "Separate" [81,] "HI" "Separate" [82,] "HI" "Separate" [83,] "HI" "Separate" [84,] "LO" "Separate" [85,] "HI" "Separate" [86,] "LO" "Separate" [87,] "HI" "Separate" [88,] "HI" "Separate" [89,] "LO" "Separate" [90,] "LO" "Separate" [91,] "HI" "Separate" [92,] "LO" "Separate" [93,] "HI" "Separate" [94,] "LO" "Separate" [95,] "LO" "Separate" [96,] "HI" "Separate" [97,] "HI" "Separate" [98,] "LO" "Separate" [99,] "HI" "Separate" [100,] "HI" "Separate" [101,] "HI" "Separate" [102,] "HI" "Separate" [103,] "HI" "Separate" [104,] "LO" "Separate" [105,] "HI" "Separate" [106,] "LO" "Separate" [107,] "HI" "Separate" [108,] "HI" "Separate" [109,] "HI" "Separate" [110,] "HI" "Separate" [111,] "HI" "Separate" [112,] "LO" "Separate" [113,] "HI" "Separate" [114,] "LO" "Separate" [115,] "HI" "Separate" [116,] "LO" "Separate" [117,] "HI" "Separate" [118,] "HI" "Separate" [119,] "HI" "Separate" [120,] "HI" "Separate" [121,] "HI" "Separate" [122,] "LO" "Separate" [123,] "HI" "Separate" [124,] "HI" "Separate" [125,] "LO" "Separate" [126,] "LO" "Separate" [127,] "LO" "Separate" [128,] "HI" "Separate" [129,] "HI" "Separate" [130,] "LO" "Separate" [131,] "LO" "Separate" [132,] "LO" "Separate" [133,] "HI" "Separate" [134,] "LO" "Separate" [135,] "HI" "Separate" [136,] "LO" "Separate" [137,] "LO" "Separate" [138,] "HI" "Separate" [139,] "HI" "Separate" [140,] "HI" "Separate" [141,] "HI" "Separate" [142,] "HI" "Separate" [143,] "HI" "Separate" [144,] "HI" "Separate" [145,] "LO" "Separate" [146,] "LO" "Separate" [147,] "LO" "Separate" [148,] "HI" "Separate" [149,] "LO" "Separate" [150,] "LO" "Separate" [151,] "HI" "Separate" [152,] "HI" "Separate" [153,] "HI" "Separate" [154,] "HI" "Separate" [155,] "HI" "Separate" [156,] "LO" "Separate" [157,] "LO" "Separate" [158,] "HI" "Separate" [159,] "HI" "Separate" [160,] "LO" "Separate" [161,] "HI" "Separate" [162,] "HI" "Separate" [163,] "HI" "Depression" [164,] "LO" "Depression" [165,] "HI" "Depression" [166,] "HI" "Depression" [167,] "HI" "Depression" [168,] "HI" "Depression" [169,] "HI" "Depression" [170,] "LO" "Depression" [171,] "LO" "Depression" [172,] "HI" "Depression" [173,] "LO" "Depression" [174,] "LO" "Depression" [175,] "HI" "Depression" [176,] "HI" "Depression" [177,] "LO" "Depression" [178,] "HI" "Depression" [179,] "HI" "Depression" [180,] "LO" "Depression" [181,] "LO" "Depression" [182,] "HI" "Depression" [183,] "LO" "Depression" [184,] "HI" "Depression" [185,] "HI" "Depression" [186,] "HI" "Depression" [187,] "LO" "Depression" [188,] "LO" "Depression" [189,] "LO" "Depression" [190,] "HI" "Depression" [191,] "HI" "Depression" [192,] "HI" "Depression" [193,] "LO" "Depression" [194,] "HI" "Depression" [195,] "LO" "Depression" [196,] "LO" "Depression" [197,] "HI" "Depression" [198,] "LO" "Depression" [199,] "HI" "Depression" [200,] "HI" "Depression" [201,] "LO" "Depression" [202,] "LO" "Depression" [203,] "LO" "Depression" [204,] "HI" "Depression" [205,] "LO" "Depression" [206,] "HI" "Depression" [207,] "LO" "Depression" [208,] "HI" "Depression" [209,] "LO" "Depression" [210,] "LO" "Depression" [211,] "HI" "Depression" [212,] "LO" "Depression" [213,] "LO" "Depression" [214,] "HI" "Depression" [215,] "HI" "Depression" [216,] "HI" "Depression" [217,] "LO" "Depression" [218,] "HI" "Depression" [219,] "HI" "Depression" [220,] "LO" "Depression" [221,] "LO" "Depression" [222,] "HI" "Depression" [223,] "HI" "Depression" [224,] "HI" "Depression" [225,] "HI" "Depression" [226,] "HI" "Depression" [227,] "HI" "Depression" [228,] "LO" "Depression" [229,] "HI" "Depression" [230,] "HI" "Depression" [231,] "HI" "Depression" [232,] "HI" "Depression" [233,] "HI" "Depression" [234,] "HI" "Depression" [235,] "HI" "Depression" [236,] "LO" "Depression" [237,] "LO" "Depression" [238,] "HI" "Depression" [239,] "HI" "Depression" [240,] "HI" "Depression" [241,] "HI" "Depression" [242,] "LO" "Depression" [243,] "LO" "Depression" [244,] "LO" "Depression" [245,] "LO" "Depression" [246,] "HI" "Depression" [247,] "HI" "Depression" [248,] "HI" "Depression" [249,] "HI" "Depression" [250,] "HI" "Depression" [251,] "HI" "Depression" [252,] "HI" "Depression" [253,] "HI" "Depression" [254,] "HI" "Depression" [255,] "HI" "Depression" [256,] "HI" "Depression" [257,] "LO" "Depression" [258,] "LO" "Depression" [259,] "HI" "Depression" [260,] "LO" "Depression" [261,] "LO" "Depression" [262,] "LO" "Depression" [263,] "LO" "Depression" [264,] "HI" "Depression" [265,] "HI" "Depression" [266,] "LO" "Depression" [267,] "HI" "Depression" [268,] "HI" "Depression" [269,] "LO" "Depression" [270,] "HI" "Depression" [271,] "HI" "Depression" [272,] "HI" "Depression" [273,] "HI" "Depression" [274,] "HI" "Depression" [275,] "LO" "Depression" [276,] "HI" "Depression" [277,] "HI" "Depression" [278,] "LO" "Depression" [279,] "HI" "Depression" [280,] "HI" "Depression" [281,] "LO" "Depression" [282,] "HI" "Depression" [283,] "HI" "Depression" [284,] "HI" "Depression" [285,] "LO" "Depression" [286,] "LO" "Depression" [287,] "LO" "Depression" [288,] "LO" "Depression" [289,] "LO" "Depression" [290,] "LO" "Depression" [291,] "LO" "Depression" [292,] "HI" "Depression" [293,] "LO" "Depression" [294,] "HI" "Depression" [295,] "LO" "Depression" [296,] "HI" "Depression" [297,] "HI" "Depression" [298,] "HI" "Depression" [299,] "HI" "Depression" [300,] "HI" "Depression" [301,] "HI" "Depression" [302,] "LO" "Depression" [303,] "HI" "Depression" [304,] "LO" "Depression" [305,] "HI" "Depression" [306,] "HI" "Depression" [307,] "HI" "Depression" [308,] "LO" "Depression" [309,] "HI" "Depression" [310,] "HI" "Depression" [311,] "LO" "Depression" [312,] "HI" "Depression" [313,] "HI" "Depression" [314,] "HI" "Depression" [315,] "LO" "Depression" [316,] "HI" "Depression" [317,] "HI" "Depression" [318,] "HI" "Depression" [319,] "HI" "Depression" [320,] "HI" "Depression" [321,] "LO" "Depression" [322,] "LO" "Depression" [323,] "HI" "Depression" [324,] "HI" "Depression" > (table1 <- table(z[,cat1],z[,cat2])) Depression Separate HI 100 90 LO 62 72 > (V1<-dimnames(y)[[1]][cat1]) [1] "Score" > (V2<-dimnames(y)[[1]][cat2]) [1] "Construct\r" > postscript(file="/var/www/rcomp/tmp/1ohrn1289464851.ps",horizontal=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) Warning message: In grid.Call.graphics("L_text", as.graphicsAnnot(x$label), x$x, : font width unknown for character 0xd > dev.off() null device 1 > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Tabulation of Results',ncol(table1)+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, ' ', 1,TRUE) > for(nc in 1:ncol(table1)){ + a<-table.element(a, colnames(table1)[nc], 1, TRUE) + } > a<-table.row.end(a) > for(nr in 1:nrow(table1) ){ + a<-table.element(a, rownames(table1)[nr], 1, TRUE) + for(nc in 1:ncol(table1) ){ + a<-table.element(a, table1[nr, nc], 1, FALSE) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/rcomp/tmp/290pb1289464851.tab") > (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) ) Pearson's Chi-squared test with Yates' continuity correction data: table1 X-squared = 1.0308, df = 1, p-value = 0.31 > if (par3 == 'McNemar Chi-Squared') { + (cst <- mcnemar.test(table1)) + } > if (par3 != 'McNemar Chi-Squared') { + a<-table.start() + a<-table.row.start(a) + a<-table.element(a,'Tabulation of Expected Results',ncol(table1)+1,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a,paste(V1,' x ', V2),ncol(table1)+1,TRUE) + a<-table.row.end(a) + a<-table.row.start(a) + a<-table.element(a, ' ', 1,TRUE) + for(nc in 1:ncol(table1)){ + a<-table.element(a, colnames(table1)[nc], 1, TRUE) + } + a<-table.row.end(a) + for(nr in 1:nrow(table1) ){ + a<-table.element(a, rownames(table1)[nr], 1, TRUE) + for(nc in 1:ncol(table1) ){ + a<-table.element(a, round(cst$expected[nr, nc], digits=2), 1, FALSE) + } + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/www/rcomp/tmp/3di6g1289464851.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$method, 2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, 'Chi Square Statistic', 1, TRUE) > a<-table.element(a, round(cst$statistic, digits=2), 1,FALSE) > a<-table.row.end(a) > if(!simulate.p.value){ + 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/4yj441289464851.tab") > > try(system("convert tmp/1ohrn1289464851.ps tmp/1ohrn1289464851.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.140 0.360 1.461