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
+ ,53
+ ,11
+ ,86
+ ,14
+ ,66
+ ,12
+ ,67
+ ,21
+ ,76
+ ,12
+ ,78
+ ,22
+ ,53
+ ,11
+ ,80
+ ,10
+ ,74
+ ,13
+ ,76
+ ,10
+ ,79
+ ,8
+ ,54
+ ,15
+ ,67
+ ,14
+ ,54
+ ,10
+ ,87
+ ,14
+ ,58
+ ,14
+ ,75
+ ,11
+ ,88
+ ,10
+ ,64
+ ,13
+ ,57
+ ,7
+ ,66
+ ,14
+ ,68
+ ,12
+ ,54
+ ,14
+ ,56
+ ,11
+ ,86
+ ,9
+ ,80
+ ,11
+ ,76
+ ,15
+ ,69
+ ,14
+ ,78
+ ,13
+ ,67
+ ,9
+ ,80
+ ,15
+ ,54
+ ,10
+ ,71
+ ,11
+ ,84
+ ,13
+ ,74
+ ,8
+ ,71
+ ,20
+ ,63
+ ,12
+ ,71
+ ,10
+ ,76
+ ,10
+ ,69
+ ,9
+ ,74
+ ,14
+ ,75
+ ,8
+ ,54
+ ,14
+ ,52
+ ,11
+ ,69
+ ,13
+ ,68
+ ,9
+ ,65
+ ,11
+ ,75
+ ,15
+ ,74
+ ,11
+ ,75
+ ,10
+ ,72
+ ,14
+ ,67
+ ,18
+ ,63
+ ,14
+ ,62
+ ,11
+ ,63
+ ,12
+ ,76
+ ,13
+ ,74
+ ,9
+ ,67
+ ,10
+ ,73
+ ,15
+ ,70
+ ,20
+ ,53
+ ,12
+ ,77
+ ,12
+ ,77
+ ,14
+ ,52
+ ,13
+ ,54
+ ,11
+ ,80
+ ,17
+ ,66
+ ,12
+ ,73
+ ,13
+ ,63
+ ,14
+ ,69
+ ,13
+ ,67
+ ,15
+ ,54
+ ,13
+ ,81
+ ,10
+ ,69
+ ,11
+ ,84
+ ,19
+ ,80
+ ,13
+ ,70
+ ,17
+ ,69
+ ,13
+ ,77
+ ,9
+ ,54
+ ,11
+ ,79
+ ,10
+ ,30
+ ,9
+ ,71
+ ,12
+ ,73
+ ,12
+ ,72
+ ,13
+ ,77
+ ,13
+ ,75
+ ,12
+ ,69
+ ,15
+ ,54
+ ,22
+ ,70
+ ,13
+ ,73
+ ,15
+ ,54
+ ,13
+ ,77
+ ,15
+ ,82
+ ,10
+ ,80
+ ,11
+ ,80
+ ,16
+ ,69
+ ,11
+ ,78
+ ,11
+ ,81
+ ,10
+ ,76
+ ,10
+ ,76
+ ,16
+ ,73
+ ,12
+ ,85
+ ,11
+ ,66
+ ,16
+ ,79
+ ,19
+ ,68
+ ,11
+ ,76
+ ,16
+ ,71
+ ,15
+ ,54
+ ,24
+ ,46
+ ,14
+ ,82
+ ,15
+ ,74
+ ,11
+ ,88
+ ,15
+ ,38
+ ,12
+ ,76
+ ,10
+ ,86
+ ,14
+ ,54
+ ,13
+ ,70
+ ,9
+ ,69
+ ,15
+ ,90
+ ,15
+ ,54
+ ,14
+ ,76
+ ,11
+ ,89
+ ,8
+ ,76
+ ,11
+ ,73
+ ,11
+ ,79
+ ,8
+ ,90
+ ,10
+ ,74
+ ,11
+ ,81
+ ,13
+ ,72
+ ,11
+ ,71
+ ,20
+ ,66
+ ,10
+ ,77
+ ,15
+ ,65
+ ,12
+ ,74
+ ,14
+ ,82
+ ,23
+ ,54
+ ,14
+ ,63
+ ,16
+ ,54
+ ,11
+ ,64
+ ,12
+ ,69
+ ,10
+ ,54
+ ,14
+ ,84
+ ,12
+ ,86
+ ,12
+ ,77
+ ,11
+ ,89
+ ,12
+ ,76
+ ,13
+ ,60
+ ,11
+ ,75
+ ,19
+ ,73
+ ,12
+ ,85
+ ,17
+ ,79
+ ,9
+ ,71
+ ,12
+ ,72
+ ,19
+ ,69
+ ,18
+ ,78
+ ,15
+ ,54
+ ,14
+ ,69
+ ,11
+ ,81
+ ,9
+ ,84
+ ,18
+ ,84
+ ,16
+ ,69)
+ ,dim=c(2
+ ,162)
+ ,dimnames=list(c('Depression'
+ ,'Belonging')
+ ,1:162))
>  y <- array(NA,dim=c(2,162),dimnames=list(c('Depression','Belonging'),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   53
  [2,]   11   86
  [3,]   14   66
  [4,]   12   67
  [5,]   21   76
  [6,]   12   78
  [7,]   22   53
  [8,]   11   80
  [9,]   10   74
 [10,]   13   76
 [11,]   10   79
 [12,]    8   54
 [13,]   15   67
 [14,]   14   54
 [15,]   10   87
 [16,]   14   58
 [17,]   14   75
 [18,]   11   88
 [19,]   10   64
 [20,]   13   57
 [21,]    7   66
 [22,]   14   68
 [23,]   12   54
 [24,]   14   56
 [25,]   11   86
 [26,]    9   80
 [27,]   11   76
 [28,]   15   69
 [29,]   14   78
 [30,]   13   67
 [31,]    9   80
 [32,]   15   54
 [33,]   10   71
 [34,]   11   84
 [35,]   13   74
 [36,]    8   71
 [37,]   20   63
 [38,]   12   71
 [39,]   10   76
 [40,]   10   69
 [41,]    9   74
 [42,]   14   75
 [43,]    8   54
 [44,]   14   52
 [45,]   11   69
 [46,]   13   68
 [47,]    9   65
 [48,]   11   75
 [49,]   15   74
 [50,]   11   75
 [51,]   10   72
 [52,]   14   67
 [53,]   18   63
 [54,]   14   62
 [55,]   11   63
 [56,]   12   76
 [57,]   13   74
 [58,]    9   67
 [59,]   10   73
 [60,]   15   70
 [61,]   20   53
 [62,]   12   77
 [63,]   12   77
 [64,]   14   52
 [65,]   13   54
 [66,]   11   80
 [67,]   17   66
 [68,]   12   73
 [69,]   13   63
 [70,]   14   69
 [71,]   13   67
 [72,]   15   54
 [73,]   13   81
 [74,]   10   69
 [75,]   11   84
 [76,]   19   80
 [77,]   13   70
 [78,]   17   69
 [79,]   13   77
 [80,]    9   54
 [81,]   11   79
 [82,]   10   30
 [83,]    9   71
 [84,]   12   73
 [85,]   12   72
 [86,]   13   77
 [87,]   13   75
 [88,]   12   69
 [89,]   15   54
 [90,]   22   70
 [91,]   13   73
 [92,]   15   54
 [93,]   13   77
 [94,]   15   82
 [95,]   10   80
 [96,]   11   80
 [97,]   16   69
 [98,]   11   78
 [99,]   11   81
[100,]   10   76
[101,]   10   76
[102,]   16   73
[103,]   12   85
[104,]   11   66
[105,]   16   79
[106,]   19   68
[107,]   11   76
[108,]   16   71
[109,]   15   54
[110,]   24   46
[111,]   14   82
[112,]   15   74
[113,]   11   88
[114,]   15   38
[115,]   12   76
[116,]   10   86
[117,]   14   54
[118,]   13   70
[119,]    9   69
[120,]   15   90
[121,]   15   54
[122,]   14   76
[123,]   11   89
[124,]    8   76
[125,]   11   73
[126,]   11   79
[127,]    8   90
[128,]   10   74
[129,]   11   81
[130,]   13   72
[131,]   11   71
[132,]   20   66
[133,]   10   77
[134,]   15   65
[135,]   12   74
[136,]   14   82
[137,]   23   54
[138,]   14   63
[139,]   16   54
[140,]   11   64
[141,]   12   69
[142,]   10   54
[143,]   14   84
[144,]   12   86
[145,]   12   77
[146,]   11   89
[147,]   12   76
[148,]   13   60
[149,]   11   75
[150,]   19   73
[151,]   12   85
[152,]   17   79
[153,]    9   71
[154,]   12   72
[155,]   19   69
[156,]   18   78
[157,]   15   54
[158,]   14   69
[159,]   11   81
[160,]    9   84
[161,]   18   84
[162,]   16   69
> (table1 <- table(z[,cat1],z[,cat2]))
    
     30 38 46 52 53 54 56 57 58 60 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76
  7   0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0
  8   0  0  0  0  0  2  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  1
  9   0  0  0  0  0  1  0  0  0  0  0  0  0  1  0  1  0  1  0  2  0  0  1  0  0
  10  1  0  0  0  0  1  0  0  0  0  0  0  1  0  0  0  0  2  0  1  1  1  2  0  3
  11  0  0  0  0  0  0  0  0  0  0  0  1  1  0  1  0  0  1  0  1  0  1  0  3  2
  12  0  0  0  0  1  1  0  0  0  0  0  0  0  0  0  1  0  2  0  1  2  2  1  0  3
  13  0  0  0  0  0  1  0  1  0  1  0  1  0  0  0  2  1  0  2  0  1  1  2  1  1
  14  0  0  0  2  0  2  1  0  1  0  1  1  0  0  1  1  1  2  0  0  0  0  0  2  1
  15  0  1  0  0  0  7  0  0  0  0  0  0  0  1  0  1  0  1  1  0  0  0  2  0  0
  16  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  2  0  1  0  1  0  0  0
  17  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  1  0  0  0  0  0  0  0
  18  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0
  19  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1  1  0  0  0  1  0  0  0
  20  0  0  0  0  1  0  0  0  0  0  0  1  0  0  1  0  0  0  0  0  0  0  0  0  0
  21  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  1
  22  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  1  0  0  0  0  0  0
  23  0  0  0  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
  24  0  0  1  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0  0
    
     77 78 79 80 81 82 84 85 86 87 88 89 90
  7   0  0  0  0  0  0  0  0  0  0  0  0  0
  8   0  0  0  0  0  0  0  0  0  0  0  0  1
  9   0  0  0  2  0  0  1  0  0  0  0  0  0
  10  1  0  1  1  0  0  0  0  1  1  0  0  0
  11  0  1  2  3  3  0  2  0  2  0  2  2  0
  12  3  1  0  0  0  0  0  2  1  0  0  0  0
  13  3  0  0  0  1  0  0  0  0  0  0  0  0
  14  0  1  0  0  0  2  1  0  0  0  0  0  0
  15  0  0  0  0  0  1  0  0  0  0  0  0  1
  16  0  0  1  0  0  0  0  0  0  0  0  0  0
  17  0  0  1  0  0  0  0  0  0  0  0  0  0
  18  0  1  0  0  0  0  1  0  0  0  0  0  0
  19  0  0  0  1  0  0  0  0  0  0  0  0  0
  20  0  0  0  0  0  0  0  0  0  0  0  0  0
  21  0  0  0  0  0  0  0  0  0  0  0  0  0
  22  0  0  0  0  0  0  0  0  0  0  0  0  0
  23  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
> (V1<-dimnames(y)[[1]][cat1])
[1] "Depression"
> (V2<-dimnames(y)[[1]][cat2])
[1] "Belonging"
> postscript(file="/var/wessaorg/rcomp/tmp/1b9g41323855463.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/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/2uhi01323855463.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 699.3441, df = 629, p-value = 0.02665

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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/3eitt1323855463.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/4ibxr1323855463.tab") 
> 
> try(system("convert tmp/1b9g41323855463.ps tmp/1b9g41323855463.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  6.769   0.145   6.925