R version 2.9.0 (2009-04-17) Copyright (C) 2009 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('A' + ,'A' + ,'D' + ,'A' + ,'B' + ,'B' + ,'A' + ,'C' + ,'A' + ,'B' + ,'A' + ,'C' + ,'D' + ,'B' + ,'A' + ,'A' + ,'D' + ,'A' + ,'D' + ,'C' + ,'C' + ,'D' + ,'D' + ,'B' + ,'B' + ,'A' + ,'C' + ,'A' + ,'A' + ,'A' + ,'B' + ,'D' + ,'D' + ,'C' + ,'A' + ,'B' + ,'A' + ,'D' + ,'A' + ,'A' + ,'B' + ,'A' + ,'B' + ,'B' + ,'C' + ,'A' + ,'B' + ,'C' + ,'B' + ,'B' + ,'C' + ,'A' + ,'B' + ,'D' + ,'A' + ,'A' + ,'C' + ,'D' + ,'B' + ,'B' + ,'A' + ,'D' + ,'A' + ,'C' + ,'A' + ,'D' + ,'B' + ,'B' + ,'A' + ,'A' + ,'A' + ,'D' + ,'A' + ,'B' + ,'A' + ,'A' + ,'D' + ,'A' + ,'A' + ,'A' + ,'A' + ,'B' + ,'A' + ,'A' + ,'C' + ,'A' + ,'A' + ,'A' + ,'A' + ,'D' + ,'C' + ,'C' + ,'C' + ,'A' + ,'B' + ,'A' + ,'B' + ,'C' + ,'C' + ,'C' + ,'B' + ,'A' + ,'A' + ,'A' + ,'A' + ,'A' + ,'A' + ,'C' + ,'A' + ,'A' + ,'A' + ,'B' + ,'B' + ,'D' + ,'C' + ,'C' + ,'A' + ,'A' + ,'A' + ,'B' + ,'C' + ,'C' + ,'A' + ,'B' + ,'A' + ,'D' + ,'D' + ,'D' + ,'A' + ,'A' + ,'D' + ,'A' + ,'A' + ,'A' + ,'A' + ,'A' + ,'B' + ,'B' + ,'A' + ,'A' + ,'A' + ,'B' + ,'D' + ,'A' + ,'A' + ,'C' + ,'A' + ,'D' + ,'A' + ,'C' + ,'A' + ,'C' + ,'A' + ,'A' + ,'D' + ,'D' + ,'B' + ,'B' + ,'A' + ,'C' + ,'A' + ,'C' + ,'C' + ,'A' + ,'C' + ,'A' + ,'B' + ,'A' + ,'C' + ,'C' + ,'A' + ,'A' + ,'B' + ,'A' + ,'B' + ,'C' + ,'C' + ,'C' + ,'D' + ,'B' + ,'D' + ,'D' + ,'C' + ,'A' + ,'A' + ,'D' + ,'D' + ,'C' + ,'D' + ,'D' + ,'C' + ,'A' + ,'A' + ,'D' + ,'C' + ,'C' + ,'A' + ,'D' + ,'B' + ,'A' + ,'A' + ,'A' + ,'B' + ,'C' + ,'B' + ,'D' + ,'C' + ,'A' + ,'B' + ,'B' + ,'C' + ,'C' + ,'D' + ,'D' + ,'A' + ,'D' + ,'D' + ,'D' + ,'D' + ,'D' + ,'D' + ,'A' + ,'B' + ,'C' + ,'C' + ,'A' + ,'B' + ,'B' + ,'D' + ,'D' + ,'A' + ,'C' + ,'A' + ,'D' + ,'B' + ,'C' + ,'A' + ,'C' + ,'C' + ,'D' + ,'A' + ,'C' + ,'A' + ,'C' + ,'B' + ,'D' + ,'B' + ,'C' + ,'C' + ,'A' + ,'A' + ,'A' + ,'A' + ,'C' + ,'A' + ,'A' + ,'A' + ,'D' + ,'B' + ,'C' + ,'C' + ,'C' + ,'D' + ,'A' + ,'A' + ,'D' + ,'C' + ,'C' + ,'D' + ,'C' + ,'A' + ,'B' + ,'D' + ,'A' + ,'D' + ,'B' + ,'A' + ,'A' + ,'C' + ,'A' + ,'B' + ,'D' + ,'C' + ,'B' + ,'C' + ,'B' + ,'B' + ,'C' + ,'B' + ,'A' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'C' + ,'C' + ,'A' + ,'C' + ,'C' + ,'C' + ,'A' + ,'A' + ,'A' + ,'A' + ,'D' + ,'C' + ,'D' + ,'C' + ,'C' + ,'B' + ,'A' + ,'C' + ,'C' + ,'D' + ,'A' + ,'D' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'D' + ,'A' + ,'C' + ,'C' + ,'D' + ,'D' + ,'D' + ,'C' + ,'A' + ,'C' + ,'C' + ,'D' + ,'B' + ,'B' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'B' + ,'D' + ,'B' + ,'A' + ,'A' + ,'B' + ,'D' + ,'A' + ,'B' + ,'C' + ,'B' + ,'D' + ,'D' + ,'B' + ,'B' + ,'A' + ,'C' + ,'D' + ,'A' + ,'D' + ,'D' + ,'D' + ,'D' + ,'D' + ,'A' + ,'A' + ,'B' + ,'A' + ,'A' + ,'C' + ,'B' + ,'B' + ,'B' + ,'A' + ,'A' + ,'D' + ,'B' + ,'D' + ,'B' + ,'C' + ,'B' + ,'B' + ,'A' + ,'B' + ,'D' + ,'A' + ,'A' + ,'B' + ,'B' + ,'B' + ,'A' + ,'A' + ,'A' + ,'D' + ,'C' + ,'B' + ,'B' + ,'A' + ,'A' + ,'D' + ,'A' + ,'D' + ,'D' + ,'A' + ,'B' + ,'D' + ,'B' + ,'A' + ,'A' + ,'D' + ,'A' + ,'B' + ,'B' + ,'B' + ,'A' + ,'A' + ,'A' + ,'B' + ,'A' + ,'A' + ,'B' + ,'D' + ,'D' + ,'B' + ,'B' + ,'D' + ,'A' + ,'C' + ,'B' + ,'A' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'B' + ,'B' + ,'A' + ,'A' + ,'A' + ,'A' + ,'B' + ,'D' + ,'B' + ,'D' + ,'A' + ,'A' + ,'C' + ,'C' + ,'A' + ,'D' + ,'A' + ,'D' + ,'D' + ,'A' + ,'A' + ,'A' + ,'A' + ,'A' + ,'A' + ,'B' + ,'B' + ,'D' + ,'A' + ,'B' + ,'C' + ,'A' + ,'D' + ,'D' + ,'D' + ,'A' + ,'B' + ,'B' + ,'A' + ,'D' + ,'A' + ,'A' + ,'C' + ,'D' + ,'C' + ,'B' + ,'A' + ,'A' + ,'B' + ,'C' + ,'A' + ,'A' + ,'A' + ,'A' + ,'A' + ,'D' + ,'B' + ,'A' + ,'A' + ,'A' + ,'B' + ,'D' + ,'A' + ,'C' + ,'C' + ,'A' + ,'A' + ,'B' + ,'C' + ,'B' + ,'C' + ,'B' + ,'B' + ,'B' + ,'C' + ,'D' + ,'A' + ,'C' + ,'B' + ,'B' + ,'A' + ,'A' + ,'C' + ,'D' + ,'B' + ,'B' + ,'C' + ,'B' + ,'A' + ,'A' + ,'B' + ,'B' + ,'D' + ,'C' + ,'A' + ,'A' + ,'C' + ,'A' + ,'C' + ,'C' + ,'C' + ,'A' + ,'D' + ,'A' + ,'D' + ,'B' + ,'D' + ,'D' + ,'A' + ,'B' + ,'B' + ,'C' + ,'A' + ,'A' + ,'C' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'B' + ,'B' + ,'C' + ,'D' + ,'C' + ,'A' + ,'B' + ,'A' + ,'D' + ,'D' + ,'D' + ,'A' + ,'C' + ,'D' + ,'A' + ,'B' + ,'A' + ,'C' + ,'A' + ,'C' + ,'A' + ,'B' + ,'A' + ,'A' + ,'D' + ,'A' + ,'B' + ,'D' + ,'A' + ,'D' + ,'B' + ,'C' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'C' + ,'C' + ,'B' + ,'C' + ,'C' + ,'B' + ,'D' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'D' + ,'A' + ,'B' + ,'A' + ,'B' + ,'D' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'A' + ,'B' + ,'C' + ,'D' + ,'C' + ,'B' + ,'D' + ,'C' + ,'C' + ,'A' + ,'A' + ,'B' + ,'B' + ,'A' + ,'A' + ,'C' + ,'D' + ,'A' + ,'D' + ,'A' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'C' + ,'A' + ,'A' + ,'A' + ,'A' + ,'B' + ,'A' + ,'B' + ,'B' + ,'A' + ,'B' + ,'D' + ,'A' + ,'A' + ,'A' + ,'D' + ,'D' + ,'D' + ,'A' + ,'D' + ,'B' + ,'A' + ,'A' + ,'B' + ,'A' + ,'D' + ,'C' + ,'A' + ,'A' + ,'D' + ,'A' + ,'C' + ,'A' + ,'A' + ,'B' + ,'C' + ,'C' + ,'C' + ,'C' + ,'D' + ,'B' + ,'B' + ,'A' + ,'A' + ,'B' + ,'D' + ,'C' + ,'A' + ,'B' + ,'A' + ,'C' + ,'A' + ,'A' + ,'A' + ,'D' + ,'C' + ,'A' + ,'C' + ,'A' + ,'B' + ,'A' + ,'B' + ,'A' + ,'C' + ,'D' + ,'B' + ,'B' + ,'C' + ,'B' + ,'D' + ,'B' + ,'B' + ,'D' + ,'A' + ,'B' + ,'A' + ,'A' + ,'B' + ,'A' + ,'C' + ,'A' + ,'D' + ,'B' + ,'D' + ,'A' + ,'D' + ,'D' + ,'A' + ,'A' + ,'B' + ,'A' + ,'A' + ,'A' + ,'D' + ,'A' + ,'B' + ,'C' + ,'A' + ,'A' + ,'A' + ,'A' + ,'B' + ,'D' + ,'C' + ,'D' + ,'C' + ,'A' + ,'B' + ,'C' + ,'D' + ,'C' + ,'A' + ,'A' + ,'C' + ,'C' + ,'A' + ,'C' + ,'C' + ,'C' + ,'A' + ,'D' + ,'A' + ,'A' + ,'A' + ,'B' + ,'A' + ,'D' + ,'C' + ,'B' + ,'C' + ,'D' + ,'A' + ,'C' + ,'B' + ,'C' + ,'D' + ,'B' + ,'B' + ,'B' + ,'C' + ,'C' + ,'A' + ,'C' + ,'C' + ,'C' + ,'D' + ,'C' + ,'D' + ,'B' + ,'D' + ,'A' + ,'A' + ,'A' + ,'A' + ,'D' + ,'B' + ,'D' + ,'D' + ,'D' + ,'D' + ,'B' + ,'B' + ,'A' + ,'A' + ,'A' + ,'C' + ,'A' + ,'B' + ,'B' + ,'C' + ,'D' + ,'C' + ,'A' + ,'A' + ,'A' + ,'D' + ,'D' + ,'D' + ,'D' + ,'D' + ,'A' + ,'B' + ,'B' + ,'C' + ,'B' + ,'B' + ,'A' + ,'D' + ,'B' + ,'D' + ,'C' + ,'D' + ,'A' + ,'B' + ,'B' + ,'D' + ,'D' + ,'B' + ,'C' + ,'D' + ,'B' + ,'D' + ,'D' + ,'C' + ,'B' + ,'C' + ,'B' + ,'A' + ,'D' + ,'B' + ,'D' + ,'D' + ,'B' + ,'C' + ,'D' + ,'A' + ,'A' + ,'D' + ,'B' + ,'A' + ,'A' + ,'B' + ,'B' + ,'D' + ,'D' + ,'A' + ,'B' + ,'B' + ,'B' + ,'A' + ,'D' + ,'D' + ,'D' + ,'A' + ,'C' + ,'C' + ,'D' + ,'A' + ,'A' + ,'A' + ,'B' + ,'B' + ,'B' + ,'D' + ,'A' + ,'D' + ,'B' + ,'C' + ,'D' + ,'A' + ,'A' + ,'D' + ,'C' + ,'B' + ,'C' + ,'D' + ,'D' + ,'D' + ,'A' + ,'A' + ,'A' + ,'D' + ,'D' + ,'A' + ,'B' + ,'A' + ,'A' + ,'C' + ,'A' + ,'C' + ,'A' + ,'B' + ,'A' + ,'A' + ,'D' + ,'A' + ,'D' + ,'B' + ,'A' + ,'A' + ,'D' + ,'D' + ,'B' + ,'B' + ,'B' + ,'C' + ,'D' + ,'D' + ,'A' + ,'C' + ,'D' + ,'D' + ,'D' + ,'C' + ,'A' + ,'B' + ,'C' + ,'A' + ,'A' + ,'C' + ,'A' + ,'C' + ,'A' + ,'D' + ,'D' + ,'B' + ,'A' + ,'C' + ,'B' + ,'C' + ,'D' + ,'A' + ,'C' + ,'B' + ,'C' + ,'A' + ,'B' + ,'C' + ,'D' + ,'C' + ,'B' + ,'D' + ,'D' + ,'D' + ,'A' + ,'B' + ,'B' + ,'D' + ,'D' + ,'C' + ,'A') + ,dim=c(6 + ,162) + ,dimnames=list(c('Connected' + ,'Separate' + ,'Learning' + ,'Software' + ,'Happiness' + ,'Depression') + ,1:162)) > y <- array(NA,dim=c(6,162),dimnames=list(c('Connected','Separate','Learning','Software','Happiness','Depression'),1:162)) > 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 = 'Exact Pearson Chi-Squared by Simulation' > par2 = '6' > par1 = '5' > 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] [,3] [,4] [,5] [,6] [1,] "A" "A" "D" "A" "B" "B" [2,] "A" "C" "A" "B" "A" "C" [3,] "D" "B" "A" "A" "D" "A" [4,] "D" "C" "C" "D" "D" "B" [5,] "B" "A" "C" "A" "A" "A" [6,] "B" "D" "D" "C" "A" "B" [7,] "A" "D" "A" "A" "B" "A" [8,] "B" "B" "C" "A" "B" "C" [9,] "B" "B" "C" "A" "B" "D" [10,] "A" "A" "C" "D" "B" "B" [11,] "A" "D" "A" "C" "A" "D" [12,] "B" "B" "A" "A" "A" "D" [13,] "A" "B" "A" "A" "D" "A" [14,] "A" "A" "A" "B" "A" "A" [15,] "C" "A" "A" "A" "A" "D" [16,] "C" "C" "C" "A" "B" "A" [17,] "B" "C" "C" "C" "B" "A" [18,] "A" "A" "A" "A" "A" "C" [19,] "A" "A" "A" "B" "B" "D" [20,] "C" "C" "A" "A" "A" "B" [21,] "C" "C" "A" "B" "A" "D" [22,] "D" "D" "A" "A" "D" "A" [23,] "A" "A" "A" "A" "B" "B" [24,] "A" "A" "A" "B" "D" "A" [25,] "A" "C" "A" "D" "A" "C" [26,] "A" "C" "A" "A" "D" "D" [27,] "B" "B" "A" "C" "A" "C" [28,] "C" "A" "C" "A" "B" "A" [29,] "C" "C" "A" "A" "B" "A" [30,] "B" "C" "C" "C" "D" "B" [31,] "D" "D" "C" "A" "A" "D" [32,] "D" "C" "D" "D" "C" "A" [33,] "A" "D" "C" "C" "A" "D" [34,] "B" "A" "A" "A" "B" "C" [35,] "B" "D" "C" "A" "B" "B" [36,] "C" "C" "D" "D" "A" "D" [37,] "D" "D" "D" "D" "D" "A" [38,] "B" "C" "C" "A" "B" "B" [39,] "D" "D" "A" "C" "A" "D" [40,] "B" "C" "A" "C" "C" "D" [41,] "A" "C" "A" "C" "B" "D" [42,] "B" "C" "C" "A" "A" "A" [43,] "A" "C" "A" "A" "A" "D" [44,] "B" "C" "C" "C" "D" "A" [45,] "A" "D" "C" "C" "D" "C" [46,] "A" "B" "D" "A" "D" "B" [47,] "A" "A" "C" "A" "B" "D" [48,] "C" "B" "C" "B" "B" "C" [49,] "B" "A" "A" "B" "A" "A" [50,] "A" "C" "C" "A" "C" "C" [51,] "C" "A" "A" "A" "A" "D" [52,] "C" "D" "C" "C" "B" "A" [53,] "C" "C" "D" "A" "D" "A" [54,] "B" "A" "A" "A" "D" "A" [55,] "C" "C" "D" "D" "D" "C" [56,] "A" "C" "C" "D" "B" "B" [57,] "A" "B" "A" "A" "A" "B" [58,] "D" "B" "A" "A" "B" "D" [59,] "A" "B" "C" "B" "D" "D" [60,] "B" "B" "A" "C" "D" "A" [61,] "D" "D" "D" "D" "D" "A" [62,] "A" "B" "A" "A" "C" "B" [63,] "B" "B" "A" "A" "D" "B" [64,] "D" "B" "C" "B" "B" "A" [65,] "B" "D" "A" "A" "B" "B" [66,] "B" "A" "A" "A" "D" "C" [67,] "B" "B" "A" "A" "D" "A" [68,] "D" "D" "A" "B" "D" "B" [69,] "A" "A" "D" "A" "B" "B" [70,] "B" "A" "A" "A" "B" "A" [71,] "A" "B" "D" "D" "B" "B" [72,] "D" "A" "C" "B" "A" "A" [73,] "B" "A" "A" "A" "B" "B" [74,] "A" "A" "A" "A" "B" "D" [75,] "B" "D" "A" "A" "C" "C" [76,] "A" "D" "A" "D" "D" "A" [77,] "A" "A" "A" "A" "A" "B" [78,] "B" "D" "A" "B" "C" "A" [79,] "D" "D" "D" "A" "B" "B" [80,] "A" "D" "A" "A" "C" "D" [81,] "C" "B" "A" "A" "B" "C" [82,] "A" "A" "A" "A" "A" "D" [83,] "B" "A" "A" "A" "B" "D" [84,] "A" "C" "C" "A" "A" "B" [85,] "C" "B" "C" "B" "B" "B" [86,] "C" "D" "A" "C" "B" "B" [87,] "A" "A" "C" "D" "B" "B" [88,] "C" "B" "A" "A" "B" "B" [89,] "D" "C" "A" "A" "C" "A" [90,] "C" "C" "C" "A" "D" "A" [91,] "D" "B" "D" "D" "A" "B" [92,] "B" "C" "A" "A" "C" "A" [93,] "B" "A" "A" "A" "B" "B" [94,] "C" "D" "C" "A" "B" "A" [95,] "D" "D" "D" "A" "C" "D" [96,] "A" "B" "A" "C" "A" "C" [97,] "A" "B" "A" "A" "D" "A" [98,] "B" "D" "A" "D" "B" "C" [99,] "A" "B" "A" "A" "A" "C" [100,] "C" "B" "C" "C" "B" "D" [101,] "A" "B" "A" "A" "A" "D" [102,] "A" "B" "A" "B" "D" "A" [103,] "B" "A" "A" "A" "A" "B" [104,] "C" "D" "C" "B" "D" "C" [105,] "C" "A" "A" "B" "B" "A" [106,] "A" "C" "D" "A" "D" "A" [107,] "A" "B" "A" "A" "A" "C" [108,] "A" "A" "A" "A" "B" "A" [109,] "B" "B" "A" "B" "D" "A" [110,] "A" "A" "D" "D" "D" "A" [111,] "D" "B" "A" "A" "B" "A" [112,] "D" "C" "A" "A" "D" "A" [113,] "C" "A" "A" "B" "C" "C" [114,] "C" "C" "D" "B" "B" "A" [115,] "A" "B" "D" "C" "A" "B" [116,] "A" "C" "A" "A" "A" "D" [117,] "C" "A" "C" "A" "B" "A" [118,] "B" "A" "C" "D" "B" "B" [119,] "C" "B" "D" "B" "B" "D" [120,] "A" "B" "A" "A" "B" "A" [121,] "C" "A" "D" "B" "D" "A" [122,] "D" "D" "A" "A" "B" "A" [123,] "A" "A" "D" "A" "B" "C" [124,] "A" "A" "A" "A" "B" "D" [125,] "C" "D" "C" "A" "B" "C" [126,] "D" "C" "A" "A" "C" "C" [127,] "A" "C" "C" "C" "A" "D" [128,] "A" "A" "A" "B" "A" "D" [129,] "C" "B" "C" "D" "A" "C" [130,] "B" "C" "D" "B" "B" "B" [131,] "C" "C" "A" "C" "C" "C" [132,] "D" "C" "D" "B" "D" "A" [133,] "A" "A" "A" "D" "B" "D" [134,] "D" "D" "D" "B" "B" "A" [135,] "A" "A" "C" "A" "B" "B" [136,] "C" "D" "C" "A" "A" "A" [137,] "D" "D" "D" "D" "D" "A" [138,] "B" "B" "C" "B" "B" "A" [139,] "D" "B" "D" "C" "D" "A" [140,] "B" "B" "D" "D" "B" "C" [141,] "D" "B" "D" "D" "C" "B" [142,] "C" "B" "A" "D" "B" "D" [143,] "D" "B" "C" "D" "A" "A" [144,] "D" "B" "A" "A" "B" "B" [145,] "D" "D" "A" "B" "B" "B" [146,] "A" "D" "D" "D" "A" "C" [147,] "C" "D" "A" "A" "A" "B" [148,] "B" "B" "D" "A" "D" "B" [149,] "C" "D" "A" "A" "D" "C" [150,] "B" "C" "D" "D" "D" "A" [151,] "A" "A" "D" "D" "A" "B" [152,] "A" "A" "C" "A" "C" "A" [153,] "B" "A" "A" "D" "A" "D" [154,] "B" "A" "A" "D" "D" "B" [155,] "B" "B" "C" "D" "D" "A" [156,] "C" "D" "D" "D" "C" "A" [157,] "B" "C" "A" "A" "C" "A" [158,] "C" "A" "D" "D" "B" "A" [159,] "C" "B" "C" "D" "A" "C" [160,] "B" "C" "A" "B" "C" "D" [161,] "C" "B" "D" "D" "D" "A" [162,] "B" "B" "D" "D" "C" "A" > (table1 <- table(z[,cat1],z[,cat2])) A B C D A 7 10 10 16 B 19 21 8 12 C 8 2 5 4 D 26 7 5 2 > (V1<-dimnames(y)[[1]][cat1]) [1] "Happiness" > (V2<-dimnames(y)[[1]][cat2]) [1] "Depression" > postscript(file="/var/www/html/rcomp/tmp/12hxn1289918037.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) > dev.off() null device 1 > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/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/html/rcomp/tmp/26het1289918037.tab") > (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) ) Pearson's Chi-squared test with simulated p-value (based on 2000 replicates) data: table1 X-squared = 32.1927, df = NA, p-value = 0.0004998 > 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/html/rcomp/tmp/3rich1289918037.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/html/rcomp/tmp/4cibn1289918037.tab") > > try(system("convert tmp/12hxn1289918037.ps tmp/12hxn1289918037.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.252 0.191 1.686