R version 2.15.2 (2012-10-26) -- "Trick or Treat"
Copyright (C) 2012 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i686-pc-linux-gnu (32-bit)

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Type 'demo()' for some demos, 'help()' for on-line help, or
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> x <- array(list('UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,4
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,3
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,2
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'UK'
+ ,1
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,4
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,3
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,2
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1
+ ,'B'
+ ,1)
+ ,dim=c(2
+ ,282)
+ ,dimnames=list(c('country'
+ ,'hours')
+ ,1:282))
>  y <- array(NA,dim=c(2,282),dimnames=list(c('country','hours'),1:282))
>  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 = '1'
> par1 = '2'
> main = 'Association Plot'
> 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,] "UK" "4" 
  [2,] "UK" "4" 
  [3,] "UK" "4" 
  [4,] "UK" "4" 
  [5,] "UK" "4" 
  [6,] "UK" "4" 
  [7,] "UK" "4" 
  [8,] "UK" "4" 
  [9,] "UK" "4" 
 [10,] "UK" "4" 
 [11,] "UK" "4" 
 [12,] "UK" "4" 
 [13,] "UK" "4" 
 [14,] "UK" "4" 
 [15,] "UK" "4" 
 [16,] "UK" "4" 
 [17,] "UK" "4" 
 [18,] "UK" "4" 
 [19,] "UK" "4" 
 [20,] "UK" "4" 
 [21,] "UK" "4" 
 [22,] "UK" "4" 
 [23,] "UK" "4" 
 [24,] "UK" "4" 
 [25,] "UK" "4" 
 [26,] "UK" "4" 
 [27,] "UK" "4" 
 [28,] "UK" "4" 
 [29,] "UK" "4" 
 [30,] "UK" "4" 
 [31,] "UK" "4" 
 [32,] "UK" "4" 
 [33,] "UK" "4" 
 [34,] "UK" "4" 
 [35,] "UK" "4" 
 [36,] "UK" "4" 
 [37,] "UK" "4" 
 [38,] "UK" "4" 
 [39,] "UK" "3" 
 [40,] "UK" "3" 
 [41,] "UK" "3" 
 [42,] "UK" "3" 
 [43,] "UK" "3" 
 [44,] "UK" "3" 
 [45,] "UK" "3" 
 [46,] "UK" "3" 
 [47,] "UK" "3" 
 [48,] "UK" "3" 
 [49,] "UK" "3" 
 [50,] "UK" "3" 
 [51,] "UK" "3" 
 [52,] "UK" "3" 
 [53,] "UK" "3" 
 [54,] "UK" "3" 
 [55,] "UK" "3" 
 [56,] "UK" "3" 
 [57,] "UK" "3" 
 [58,] "UK" "3" 
 [59,] "UK" "3" 
 [60,] "UK" "3" 
 [61,] "UK" "3" 
 [62,] "UK" "3" 
 [63,] "UK" "3" 
 [64,] "UK" "3" 
 [65,] "UK" "3" 
 [66,] "UK" "3" 
 [67,] "UK" "3" 
 [68,] "UK" "3" 
 [69,] "UK" "3" 
 [70,] "UK" "3" 
 [71,] "UK" "3" 
 [72,] "UK" "3" 
 [73,] "UK" "2" 
 [74,] "UK" "2" 
 [75,] "UK" "2" 
 [76,] "UK" "2" 
 [77,] "UK" "2" 
 [78,] "UK" "2" 
 [79,] "UK" "2" 
 [80,] "UK" "2" 
 [81,] "UK" "2" 
 [82,] "UK" "2" 
 [83,] "UK" "2" 
 [84,] "UK" "2" 
 [85,] "UK" "2" 
 [86,] "UK" "2" 
 [87,] "UK" "2" 
 [88,] "UK" "2" 
 [89,] "UK" "2" 
 [90,] "UK" "2" 
 [91,] "UK" "2" 
 [92,] "UK" "2" 
 [93,] "UK" "2" 
 [94,] "UK" "2" 
 [95,] "UK" "2" 
 [96,] "UK" "2" 
 [97,] "UK" "2" 
 [98,] "UK" "2" 
 [99,] "UK" "1" 
[100,] "UK" "1" 
[101,] "UK" "1" 
[102,] "UK" "1" 
[103,] "UK" "1" 
[104,] "UK" "1" 
[105,] "UK" "1" 
[106,] "UK" "1" 
[107,] "UK" "1" 
[108,] "UK" "1" 
[109,] "UK" "1" 
[110,] "UK" "1" 
[111,] "UK" "1" 
[112,] "UK" "1" 
[113,] "UK" "1" 
[114,] "UK" "1" 
[115,] "B"  "4" 
[116,] "B"  "4" 
[117,] "B"  "4" 
[118,] "B"  "4" 
[119,] "B"  "4" 
[120,] "B"  "4" 
[121,] "B"  "4" 
[122,] "B"  "4" 
[123,] "B"  "4" 
[124,] "B"  "4" 
[125,] "B"  "4" 
[126,] "B"  "4" 
[127,] "B"  "4" 
[128,] "B"  "4" 
[129,] "B"  "4" 
[130,] "B"  "4" 
[131,] "B"  "4" 
[132,] "B"  "4" 
[133,] "B"  "4" 
[134,] "B"  "4" 
[135,] "B"  "4" 
[136,] "B"  "4" 
[137,] "B"  "4" 
[138,] "B"  "4" 
[139,] "B"  "4" 
[140,] "B"  "4" 
[141,] "B"  "4" 
[142,] "B"  "4" 
[143,] "B"  "4" 
[144,] "B"  "4" 
[145,] "B"  "4" 
[146,] "B"  "4" 
[147,] "B"  "4" 
[148,] "B"  "4" 
[149,] "B"  "4" 
[150,] "B"  "3" 
[151,] "B"  "3" 
[152,] "B"  "3" 
[153,] "B"  "3" 
[154,] "B"  "3" 
[155,] "B"  "3" 
[156,] "B"  "3" 
[157,] "B"  "3" 
[158,] "B"  "3" 
[159,] "B"  "3" 
[160,] "B"  "3" 
[161,] "B"  "3" 
[162,] "B"  "3" 
[163,] "B"  "3" 
[164,] "B"  "3" 
[165,] "B"  "3" 
[166,] "B"  "3" 
[167,] "B"  "3" 
[168,] "B"  "3" 
[169,] "B"  "3" 
[170,] "B"  "3" 
[171,] "B"  "3" 
[172,] "B"  "3" 
[173,] "B"  "3" 
[174,] "B"  "3" 
[175,] "B"  "3" 
[176,] "B"  "3" 
[177,] "B"  "3" 
[178,] "B"  "3" 
[179,] "B"  "3" 
[180,] "B"  "3" 
[181,] "B"  "3" 
[182,] "B"  "3" 
[183,] "B"  "3" 
[184,] "B"  "3" 
[185,] "B"  "3" 
[186,] "B"  "3" 
[187,] "B"  "2" 
[188,] "B"  "2" 
[189,] "B"  "2" 
[190,] "B"  "2" 
[191,] "B"  "2" 
[192,] "B"  "2" 
[193,] "B"  "2" 
[194,] "B"  "2" 
[195,] "B"  "2" 
[196,] "B"  "2" 
[197,] "B"  "2" 
[198,] "B"  "2" 
[199,] "B"  "2" 
[200,] "B"  "2" 
[201,] "B"  "2" 
[202,] "B"  "2" 
[203,] "B"  "2" 
[204,] "B"  "2" 
[205,] "B"  "2" 
[206,] "B"  "2" 
[207,] "B"  "2" 
[208,] "B"  "2" 
[209,] "B"  "2" 
[210,] "B"  "2" 
[211,] "B"  "2" 
[212,] "B"  "2" 
[213,] "B"  "2" 
[214,] "B"  "2" 
[215,] "B"  "2" 
[216,] "B"  "2" 
[217,] "B"  "2" 
[218,] "B"  "2" 
[219,] "B"  "2" 
[220,] "B"  "2" 
[221,] "B"  "2" 
[222,] "B"  "2" 
[223,] "B"  "2" 
[224,] "B"  "2" 
[225,] "B"  "2" 
[226,] "B"  "2" 
[227,] "B"  "2" 
[228,] "B"  "2" 
[229,] "B"  "1" 
[230,] "B"  "1" 
[231,] "B"  "1" 
[232,] "B"  "1" 
[233,] "B"  "1" 
[234,] "B"  "1" 
[235,] "B"  "1" 
[236,] "B"  "1" 
[237,] "B"  "1" 
[238,] "B"  "1" 
[239,] "B"  "1" 
[240,] "B"  "1" 
[241,] "B"  "1" 
[242,] "B"  "1" 
[243,] "B"  "1" 
[244,] "B"  "1" 
[245,] "B"  "1" 
[246,] "B"  "1" 
[247,] "B"  "1" 
[248,] "B"  "1" 
[249,] "B"  "1" 
[250,] "B"  "1" 
[251,] "B"  "1" 
[252,] "B"  "1" 
[253,] "B"  "1" 
[254,] "B"  "1" 
[255,] "B"  "1" 
[256,] "B"  "1" 
[257,] "B"  "1" 
[258,] "B"  "1" 
[259,] "B"  "1" 
[260,] "B"  "1" 
[261,] "B"  "1" 
[262,] "B"  "1" 
[263,] "B"  "1" 
[264,] "B"  "1" 
[265,] "B"  "1" 
[266,] "B"  "1" 
[267,] "B"  "1" 
[268,] "B"  "1" 
[269,] "B"  "1" 
[270,] "B"  "1" 
[271,] "B"  "1" 
[272,] "B"  "1" 
[273,] "B"  "1" 
[274,] "B"  "1" 
[275,] "B"  "1" 
[276,] "B"  "1" 
[277,] "B"  "1" 
[278,] "B"  "1" 
[279,] "B"  "1" 
[280,] "B"  "1" 
[281,] "B"  "1" 
[282,] "B"  "1" 
> (table1 <- table(z[,cat1],z[,cat2]))
   
     B UK
  1 54 16
  2 42 26
  3 37 34
  4 35 38
> (V1<-dimnames(y)[[1]][cat1])
[1] "hours"
> (V2<-dimnames(y)[[1]][cat2])
[1] "country"
> postscript(file="/var/wessaorg/rcomp/tmp/1oum61358180919.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/2d2to1358180919.tab") 
> (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) )

	Pearson's Chi-squared test

data:  table1 
X-squared = 14.8473, df = 3, p-value = 0.001952

> 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$expected[nr, nc], digits=2), 1, FALSE)
+ }
+ a<-table.row.end(a)
+ }
+ a<-table.end(a)
+ table.save(a,file="/var/wessaorg/rcomp/tmp/3ichf1358180919.tab") 
+ }
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Statistical Results',2,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a, cst$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/41y3e1358180920.tab") 
> 
> try(system("convert tmp/1oum61358180919.ps tmp/1oum61358180919.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.540   0.202   1.763