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(1,2,1,2,2,2,1,2,1,1,1,1,2,1,1,2,1,1,1,2,1,1,1,2,2,2,1,2,1,1,1,1,1,1,2,2,1,1,1,2,2,2,1,2,1,1,2,1,2,1,1,2,1,1,1,1,2,1,1,1,1,2,1,2,1,1,2,1,1,1,1,2,1,1,2,2,2,1,2,1,1,2,1,1,1,2,2,2,2,1,1,1,1,2,1,2,1,2,1,1,1,1,1,1,2,1,1,2,1,1,2,2,1,2,2,2,1,1,2,2,2,2,2,1,1,1,2,1,1,2,1,2,2,2,1,2,2,2,1,1,1,2,1,1,1,1,1,1,1,2,1,1,2,1,1,2,1,1,2,1,2,2,1,1,1,1,1,2,1,1,1,2,2,1,1,1,2,2,1,1,2,2,2,1,1,1,1,2,1,2,1,1,1,1,1,1,2,2,2,1,2,1,1,2,1,2,2,2,1,1,1,1,1,2,1,1,1,1,1,2,2,1,2,1,2,1,2,2,1,2,2,1,2,2,1,2,2,2,1,2,1,1,2,2,1,1,2,1,1,2,1,1,1,1,2,2,2,1,1,2,1,2,2,1,1,1,2,2,1,2,2,2,1,2,1,1,1,2,2,2,1,1,1,2,1,1,1,2,1,1,2,2,2,2,1,1,1,2,2,2,2,2,1,1),dim=c(2,152),dimnames=list(c('popularity','hands'),1:152))
>  y <- array(NA,dim=c(2,152),dimnames=list(c('popularity','hands'),1:152))
>  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,]    1    2
  [2,]    1    2
  [3,]    2    2
  [4,]    1    2
  [5,]    1    1
  [6,]    1    1
  [7,]    2    1
  [8,]    1    2
  [9,]    1    1
 [10,]    1    2
 [11,]    1    1
 [12,]    1    2
 [13,]    2    2
 [14,]    1    2
 [15,]    1    1
 [16,]    1    1
 [17,]    1    1
 [18,]    2    2
 [19,]    1    1
 [20,]    1    2
 [21,]    2    2
 [22,]    1    2
 [23,]    1    1
 [24,]    2    1
 [25,]    2    1
 [26,]    1    2
 [27,]    1    1
 [28,]    1    1
 [29,]    2    1
 [30,]    1    1
 [31,]    1    2
 [32,]    1    2
 [33,]    1    1
 [34,]    2    1
 [35,]    1    1
 [36,]    1    2
 [37,]    1    1
 [38,]    2    2
 [39,]    2    1
 [40,]    2    1
 [41,]    1    2
 [42,]    1    1
 [43,]    1    2
 [44,]    2    2
 [45,]    2    1
 [46,]    1    1
 [47,]    1    2
 [48,]    1    2
 [49,]    1    2
 [50,]    1    1
 [51,]    1    1
 [52,]    1    1
 [53,]    2    1
 [54,]    1    2
 [55,]    1    1
 [56,]    2    2
 [57,]    1    2
 [58,]    2    2
 [59,]    1    1
 [60,]    2    2
 [61,]    2    2
 [62,]    2    1
 [63,]    1    1
 [64,]    2    1
 [65,]    1    2
 [66,]    1    2
 [67,]    2    2
 [68,]    1    2
 [69,]    2    2
 [70,]    1    1
 [71,]    1    2
 [72,]    1    1
 [73,]    1    1
 [74,]    1    1
 [75,]    1    2
 [76,]    1    1
 [77,]    2    1
 [78,]    1    2
 [79,]    1    1
 [80,]    2    1
 [81,]    2    2
 [82,]    1    1
 [83,]    1    1
 [84,]    1    2
 [85,]    1    1
 [86,]    1    2
 [87,]    2    1
 [88,]    1    1
 [89,]    2    2
 [90,]    1    1
 [91,]    2    2
 [92,]    2    1
 [93,]    1    1
 [94,]    1    2
 [95,]    1    2
 [96,]    1    1
 [97,]    1    1
 [98,]    1    1
 [99,]    2    2
[100,]    2    1
[101,]    2    1
[102,]    1    2
[103,]    1    2
[104,]    2    2
[105,]    1    1
[106,]    1    1
[107,]    1    2
[108,]    1    1
[109,]    1    1
[110,]    1    2
[111,]    2    1
[112,]    2    1
[113,]    2    1
[114,]    2    2
[115,]    1    2
[116,]    2    1
[117,]    2    2
[118,]    1    2
[119,]    2    2
[120,]    1    2
[121,]    1    1
[122,]    2    2
[123,]    1    1
[124,]    2    1
[125,]    1    2
[126,]    1    1
[127,]    1    1
[128,]    2    2
[129,]    2    1
[130,]    1    2
[131,]    1    2
[132,]    2    1
[133,]    1    1
[134,]    2    2
[135,]    1    2
[136,]    2    2
[137,]    1    2
[138,]    1    1
[139,]    1    2
[140,]    2    2
[141,]    1    1
[142,]    1    2
[143,]    1    1
[144,]    1    2
[145,]    1    1
[146,]    2    2
[147,]    2    2
[148,]    1    1
[149,]    1    2
[150,]    2    2
[151,]    2    2
[152,]    1    1
> (table1 <- table(z[,cat1],z[,cat2]))
   
     1  2
  1 53 46
  2 24 29
> (V1<-dimnames(y)[[1]][cat1])
[1] "popularity"
> (V2<-dimnames(y)[[1]][cat2])
[1] "hands"
> postscript(file="/var/www/html/rcomp/tmp/1k2vz1291060050.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/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/25kun1291060050.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test with Yates' continuity correction

data:  table1 
X-squared = 0.6393, df = 1, p-value = 0.424

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/www/html/rcomp/tmp/393as1291060050.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/4ulrg1291060050.tab") 
> 
> try(system("convert tmp/1k2vz1291060050.ps tmp/1k2vz1291060050.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.745   0.154   1.484