R version 2.13.0 (2011-04-13)
Copyright (C) 2011 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- array(list(12
+ ,38
+ ,11
+ ,32
+ ,14
+ ,35
+ ,12
+ ,33
+ ,21
+ ,37
+ ,12
+ ,29
+ ,22
+ ,31
+ ,11
+ ,36
+ ,10
+ ,35
+ ,13
+ ,38
+ ,10
+ ,31
+ ,8
+ ,34
+ ,15
+ ,35
+ ,14
+ ,38
+ ,10
+ ,37
+ ,14
+ ,33
+ ,14
+ ,32
+ ,11
+ ,38
+ ,10
+ ,38
+ ,13
+ ,32
+ ,7
+ ,33
+ ,14
+ ,31
+ ,12
+ ,38
+ ,14
+ ,39
+ ,11
+ ,32
+ ,9
+ ,32
+ ,11
+ ,35
+ ,15
+ ,37
+ ,14
+ ,33
+ ,13
+ ,33
+ ,9
+ ,28
+ ,15
+ ,32
+ ,10
+ ,31
+ ,11
+ ,37
+ ,13
+ ,30
+ ,8
+ ,33
+ ,20
+ ,31
+ ,12
+ ,33
+ ,10
+ ,31
+ ,10
+ ,33
+ ,9
+ ,32
+ ,14
+ ,33
+ ,8
+ ,32
+ ,14
+ ,33
+ ,11
+ ,28
+ ,13
+ ,35
+ ,9
+ ,39
+ ,11
+ ,34
+ ,15
+ ,38
+ ,11
+ ,32
+ ,10
+ ,38
+ ,14
+ ,30
+ ,18
+ ,33
+ ,14
+ ,38
+ ,11
+ ,32
+ ,12
+ ,32
+ ,13
+ ,34
+ ,9
+ ,34
+ ,10
+ ,36
+ ,15
+ ,34
+ ,20
+ ,28
+ ,12
+ ,34
+ ,12
+ ,35
+ ,14
+ ,35
+ ,13
+ ,31
+ ,11
+ ,37
+ ,17
+ ,35
+ ,12
+ ,27
+ ,13
+ ,40
+ ,14
+ ,37
+ ,13
+ ,36
+ ,15
+ ,38
+ ,13
+ ,39
+ ,10
+ ,41
+ ,11
+ ,27
+ ,19
+ ,30
+ ,13
+ ,37
+ ,17
+ ,31
+ ,13
+ ,31
+ ,9
+ ,27
+ ,11
+ ,36
+ ,10
+ ,38
+ ,9
+ ,37
+ ,12
+ ,33
+ ,12
+ ,34
+ ,13
+ ,31
+ ,13
+ ,39
+ ,12
+ ,34
+ ,15
+ ,32
+ ,22
+ ,33
+ ,13
+ ,36
+ ,15
+ ,32
+ ,13
+ ,41
+ ,15
+ ,28
+ ,10
+ ,30
+ ,11
+ ,36
+ ,16
+ ,35
+ ,11
+ ,31
+ ,11
+ ,34
+ ,10
+ ,36
+ ,10
+ ,36
+ ,16
+ ,35
+ ,12
+ ,37
+ ,11
+ ,28
+ ,16
+ ,39
+ ,19
+ ,32
+ ,11
+ ,35
+ ,16
+ ,39
+ ,15
+ ,35
+ ,24
+ ,42
+ ,14
+ ,34
+ ,15
+ ,33
+ ,11
+ ,41
+ ,15
+ ,33
+ ,12
+ ,34
+ ,10
+ ,32
+ ,14
+ ,40
+ ,13
+ ,40
+ ,9
+ ,35
+ ,15
+ ,36
+ ,15
+ ,37
+ ,14
+ ,27
+ ,11
+ ,39
+ ,8
+ ,38
+ ,11
+ ,31
+ ,11
+ ,33
+ ,8
+ ,32
+ ,10
+ ,39
+ ,11
+ ,36
+ ,13
+ ,33
+ ,11
+ ,33
+ ,20
+ ,32
+ ,10
+ ,37
+ ,15
+ ,30
+ ,12
+ ,38
+ ,14
+ ,29
+ ,23
+ ,22
+ ,14
+ ,35
+ ,16
+ ,35
+ ,11
+ ,34
+ ,12
+ ,35
+ ,10
+ ,34
+ ,14
+ ,34
+ ,12
+ ,35
+ ,12
+ ,23
+ ,11
+ ,31
+ ,12
+ ,27
+ ,13
+ ,36
+ ,11
+ ,31
+ ,19
+ ,32
+ ,12
+ ,39
+ ,17
+ ,37
+ ,9
+ ,38
+ ,12
+ ,39
+ ,19
+ ,34
+ ,18
+ ,31
+ ,15
+ ,32
+ ,14
+ ,37
+ ,11
+ ,36
+ ,9
+ ,32
+ ,18
+ ,35
+ ,16
+ ,36)
+ ,dim=c(2
+ ,162)
+ ,dimnames=list(c('Depression'
+ ,'Separate
')
+ ,1:162))
>  y <- array(NA,dim=c(2,162),dimnames=list(c('Depression','Separate
'),1:162))
>  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,]   12   38
  [2,]   11   32
  [3,]   14   35
  [4,]   12   33
  [5,]   21   37
  [6,]   12   29
  [7,]   22   31
  [8,]   11   36
  [9,]   10   35
 [10,]   13   38
 [11,]   10   31
 [12,]    8   34
 [13,]   15   35
 [14,]   14   38
 [15,]   10   37
 [16,]   14   33
 [17,]   14   32
 [18,]   11   38
 [19,]   10   38
 [20,]   13   32
 [21,]    7   33
 [22,]   14   31
 [23,]   12   38
 [24,]   14   39
 [25,]   11   32
 [26,]    9   32
 [27,]   11   35
 [28,]   15   37
 [29,]   14   33
 [30,]   13   33
 [31,]    9   28
 [32,]   15   32
 [33,]   10   31
 [34,]   11   37
 [35,]   13   30
 [36,]    8   33
 [37,]   20   31
 [38,]   12   33
 [39,]   10   31
 [40,]   10   33
 [41,]    9   32
 [42,]   14   33
 [43,]    8   32
 [44,]   14   33
 [45,]   11   28
 [46,]   13   35
 [47,]    9   39
 [48,]   11   34
 [49,]   15   38
 [50,]   11   32
 [51,]   10   38
 [52,]   14   30
 [53,]   18   33
 [54,]   14   38
 [55,]   11   32
 [56,]   12   32
 [57,]   13   34
 [58,]    9   34
 [59,]   10   36
 [60,]   15   34
 [61,]   20   28
 [62,]   12   34
 [63,]   12   35
 [64,]   14   35
 [65,]   13   31
 [66,]   11   37
 [67,]   17   35
 [68,]   12   27
 [69,]   13   40
 [70,]   14   37
 [71,]   13   36
 [72,]   15   38
 [73,]   13   39
 [74,]   10   41
 [75,]   11   27
 [76,]   19   30
 [77,]   13   37
 [78,]   17   31
 [79,]   13   31
 [80,]    9   27
 [81,]   11   36
 [82,]   10   38
 [83,]    9   37
 [84,]   12   33
 [85,]   12   34
 [86,]   13   31
 [87,]   13   39
 [88,]   12   34
 [89,]   15   32
 [90,]   22   33
 [91,]   13   36
 [92,]   15   32
 [93,]   13   41
 [94,]   15   28
 [95,]   10   30
 [96,]   11   36
 [97,]   16   35
 [98,]   11   31
 [99,]   11   34
[100,]   10   36
[101,]   10   36
[102,]   16   35
[103,]   12   37
[104,]   11   28
[105,]   16   39
[106,]   19   32
[107,]   11   35
[108,]   16   39
[109,]   15   35
[110,]   24   42
[111,]   14   34
[112,]   15   33
[113,]   11   41
[114,]   15   33
[115,]   12   34
[116,]   10   32
[117,]   14   40
[118,]   13   40
[119,]    9   35
[120,]   15   36
[121,]   15   37
[122,]   14   27
[123,]   11   39
[124,]    8   38
[125,]   11   31
[126,]   11   33
[127,]    8   32
[128,]   10   39
[129,]   11   36
[130,]   13   33
[131,]   11   33
[132,]   20   32
[133,]   10   37
[134,]   15   30
[135,]   12   38
[136,]   14   29
[137,]   23   22
[138,]   14   35
[139,]   16   35
[140,]   11   34
[141,]   12   35
[142,]   10   34
[143,]   14   34
[144,]   12   35
[145,]   12   23
[146,]   11   31
[147,]   12   27
[148,]   13   36
[149,]   11   31
[150,]   19   32
[151,]   12   39
[152,]   17   37
[153,]    9   38
[154,]   12   39
[155,]   19   34
[156,]   18   31
[157,]   15   32
[158,]   14   37
[159,]   11   36
[160,]    9   32
[161,]   18   35
[162,]   16   36
> (table1 <- table(z[,cat1],z[,cat2]))
    
     22 23 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42
  7   0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0
  8   0  0  0  0  0  0  0  2  1  1  0  0  0  1  0  0  0  0
  9   0  0  1  1  0  0  0  3  0  1  1  0  1  1  1  0  0  0
  10  0  0  0  0  0  1  3  1  1  1  1  3  2  3  1  0  1  0
  11  0  0  1  2  0  0  4  4  2  3  2  5  2  1  1  0  1  0
  12  0  1  2  0  1  0  0  1  3  4  3  0  1  3  2  0  0  0
  13  0  0  0  0  0  1  3  1  2  1  1  3  1  1  2  2  1  0
  14  0  0  1  0  1  1  1  1  4  2  3  0  2  2  1  1  0  0
  15  0  0  0  1  0  1  0  4  2  1  2  1  2  2  0  0  0  0
  16  0  0  0  0  0  0  0  0  0  0  3  1  0  0  2  0  0  0
  17  0  0  0  0  0  0  1  0  0  0  1  0  1  0  0  0  0  0
  18  0  0  0  0  0  0  1  0  1  0  1  0  0  0  0  0  0  0
  19  0  0  0  0  0  1  0  2  0  1  0  0  0  0  0  0  0  0
  20  0  0  0  1  0  0  1  1  0  0  0  0  0  0  0  0  0  0
  21  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0
  22  0  0  0  0  0  0  1  0  1  0  0  0  0  0  0  0  0  0
  23  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  24  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1
> (V1<-dimnames(y)[[1]][cat1])
[1] "Depression"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Separate\r"
> postscript(file="/var/wessaorg/rcomp/tmp/1kh9z1321540793.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)
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/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/27t4s1321540793.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 506.7676, df = 289, p-value = 3.911e-14

Warning message:
In chisq.test(table1, simulate.p.value = simulate.p.value) :
  Chi-squared approximation may be incorrect
> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/3ui261321540793.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/wessaorg/rcomp/tmp/4gdel1321540793.tab") 
> 
> try(system("convert tmp/1kh9z1321540793.ps tmp/1kh9z1321540793.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  3.678   0.106   3.781