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Type 'q()' to quit R. > x <- array(list('B' + ,'HI' + ,'A' + ,'HI' + ,'D' + ,'LO' + ,'D' + ,'LO' + ,'A' + ,'HI' + ,'A' + ,'HI' + ,'B' + ,'HI' + ,'B' + ,'HI' + ,'B' + ,'HI' + ,'B' + ,'HI' + ,'A' + ,'HI' + ,'A' + ,'HI' + ,'D' + ,'HI' + ,'A' + ,'HI' + ,'A' + ,'LO' + ,'B' + ,'LO' + ,'B' + ,'HI' + ,'A' + ,'HI' + ,'B' + ,'HI' + ,'A' + ,'LO' + ,'A' + ,'LO' + ,'D' + ,'LO' + ,'B' + ,'HI' + ,'D' + ,'HI' + ,'A' + ,'HI' + ,'D' + ,'HI' + ,'A' + ,'HI' + ,'B' + ,'LO' + ,'B' + ,'LO' + ,'D' + ,'HI' + ,'A' + ,'LO' + ,'C' + ,'LO' + ,'A' + ,'HI' + ,'B' + ,'HI' + ,'B' + ,'HI' + ,'A' + ,'LO' + ,'D' + ,'LO' + ,'B' + ,'HI' + ,'A' + ,'LO' + ,'C' + ,'HI' + ,'B' + ,'HI' + ,'A' + ,'HI' + ,'A' + ,'HI' + ,'D' + ,'HI' + ,'D' + ,'HI' + ,'D' + ,'HI' + ,'B' + ,'HI' + ,'B' + ,'LO' + ,'A' + ,'HI' + ,'C' + ,'HI' + ,'A' + ,'LO' + ,'B' + ,'LO' + ,'D' + ,'LO' + ,'D' + ,'HI' + ,'D' + ,'LO' + ,'B' + ,'HI' + ,'A' + ,'HI' + ,'B' + ,'LO' + ,'D' + ,'HI' + ,'D' + ,'HI' + ,'D' + ,'LO' + ,'C' + ,'HI' + ,'D' + ,'HI' + ,'B' + ,'LO' + ,'B' + ,'HI' + ,'D' + ,'HI' + ,'D' + ,'HI' + ,'D' + ,'LO' + ,'B' + ,'HI' + ,'B' + ,'HI' + ,'B' + ,'HI' + ,'A' + ,'LO' + ,'B' + ,'HI' + ,'B' + ,'HI' + ,'C' + ,'HI' + ,'D' + ,'HI' + ,'A' + ,'HI' + ,'C' + ,'HI' + ,'B' + ,'LO' + ,'C' + ,'HI' + ,'B' + ,'LO' + ,'A' + ,'HI' + ,'B' + ,'HI' + ,'A' + ,'HI' + ,'B' + ,'LO' + ,'B' + ,'LO' + ,'B' + ,'HI' + ,'B' + ,'LO' + ,'C' + ,'LO' + ,'D' + ,'LO' + ,'A' + ,'LO' + ,'C' + ,'HI' + ,'B' + ,'HI' + ,'B' + ,'LO' + ,'C' + ,'LO' + ,'A' + ,'HI' + ,'D' + ,'HI' + ,'B' + ,'HI' + ,'A' + ,'HI' + ,'B' + ,'LO' + ,'A' + ,'HI' + ,'D' + ,'HI' + ,'A' + ,'HI' + ,'D' + ,'LO' + ,'B' + ,'LO' + ,'D' + ,'HI' + ,'A' + ,'HI' + ,'B' + ,'HI' + ,'D' + ,'HI' + ,'D' + ,'HI' + ,'B' + ,'LO' + ,'D' + ,'LO' + ,'C' + ,'LO' + ,'B' + ,'LO' + ,'A' + ,'HI' + ,'A' + ,'HI' + ,'B' + ,'LO' + ,'B' + ,'HI' + ,'B' + ,'LO' + ,'B' + ,'HI' + ,'D' + ,'LO' + ,'B' + ,'LO' + ,'B' + ,'HI' + ,'B' + ,'HI' + ,'B' + ,'LO' + ,'C' + ,'LO' + ,'A' + ,'HI' + ,'A' + ,'HI' + ,'A' + ,'LO' + ,'B' + ,'HI' + ,'C' + ,'LO' + ,'D' + ,'LO' + ,'B' + ,'HI' + ,'B' + ,'LO' + ,'B' + ,'HI' + ,'A' + ,'LO' + ,'D' + ,'LO' + ,'B' + ,'HI' + ,'D' + ,'LO' + ,'B' + ,'HI' + ,'C' + ,'LO' + ,'B' + ,'LO' + ,'A' + ,'LO' + ,'B' + ,'LO' + ,'B' + ,'LO' + ,'A' + ,'HI' + ,'A' + ,'LO' + ,'D' + ,'HI' + ,'D' + ,'LO' + ,'D' + ,'HI' + ,'A' + ,'HI' + ,'C' + ,'HI' + ,'A' + ,'HI' + ,'D' + ,'HI' + ,'D' + ,'HI' + ,'C' + ,'LO' + ,'C' + ,'HI' + ,'B' + ,'LO' + ,'A' + ,'LO' + ,'C' + ,'HI' + ,'D' + ,'LO' + ,'C' + ,'HI') + ,dim=c(2 + ,162) + ,dimnames=list(c('Happiness' + ,'Connected ') + ,1:162)) > y <- array(NA,dim=c(2,162),dimnames=list(c('Happiness','Connected '),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 = 'Pearson Chi-Squared' > par2 = '2' > par1 = '1' > 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,] "B" "HI" [2,] "A" "HI" [3,] "D" "LO" [4,] "D" "LO" [5,] "A" "HI" [6,] "A" "HI" [7,] "B" "HI" [8,] "B" "HI" [9,] "B" "HI" [10,] "B" "HI" [11,] "A" "HI" [12,] "A" "HI" [13,] "D" "HI" [14,] "A" "HI" [15,] "A" "LO" [16,] "B" "LO" [17,] "B" "HI" [18,] "A" "HI" [19,] "B" "HI" [20,] "A" "LO" [21,] "A" "LO" [22,] "D" "LO" [23,] "B" "HI" [24,] "D" "HI" [25,] "A" "HI" [26,] "D" "HI" [27,] "A" "HI" [28,] "B" "LO" [29,] "B" "LO" [30,] "D" "HI" [31,] "A" "LO" [32,] "C" "LO" [33,] "A" "HI" [34,] "B" "HI" [35,] "B" "HI" [36,] "A" "LO" [37,] "D" "LO" [38,] "B" "HI" [39,] "A" "LO" [40,] "C" "HI" [41,] "B" "HI" [42,] "A" "HI" [43,] "A" "HI" [44,] "D" "HI" [45,] "D" "HI" [46,] "D" "HI" [47,] "B" "HI" [48,] "B" "LO" [49,] "A" "HI" [50,] "C" "HI" [51,] "A" "LO" [52,] "B" "LO" [53,] "D" "LO" [54,] "D" "HI" [55,] "D" "LO" [56,] "B" "HI" [57,] "A" "HI" [58,] "B" "LO" [59,] "D" "HI" [60,] "D" "HI" [61,] "D" "LO" [62,] "C" "HI" [63,] "D" "HI" [64,] "B" "LO" [65,] "B" "HI" [66,] "D" "HI" [67,] "D" "HI" [68,] "D" "LO" [69,] "B" "HI" [70,] "B" "HI" [71,] "B" "HI" [72,] "A" "LO" [73,] "B" "HI" [74,] "B" "HI" [75,] "C" "HI" [76,] "D" "HI" [77,] "A" "HI" [78,] "C" "HI" [79,] "B" "LO" [80,] "C" "HI" [81,] "B" "LO" [82,] "A" "HI" [83,] "B" "HI" [84,] "A" "HI" [85,] "B" "LO" [86,] "B" "LO" [87,] "B" "HI" [88,] "B" "LO" [89,] "C" "LO" [90,] "D" "LO" [91,] "A" "LO" [92,] "C" "HI" [93,] "B" "HI" [94,] "B" "LO" [95,] "C" "LO" [96,] "A" "HI" [97,] "D" "HI" [98,] "B" "HI" [99,] "A" "HI" [100,] "B" "LO" [101,] "A" "HI" [102,] "D" "HI" [103,] "A" "HI" [104,] "D" "LO" [105,] "B" "LO" [106,] "D" "HI" [107,] "A" "HI" [108,] "B" "HI" [109,] "D" "HI" [110,] "D" "HI" [111,] "B" "LO" [112,] "D" "LO" [113,] "C" "LO" [114,] "B" "LO" [115,] "A" "HI" [116,] "A" "HI" [117,] "B" "LO" [118,] "B" "HI" [119,] "B" "LO" [120,] "B" "HI" [121,] "D" "LO" [122,] "B" "LO" [123,] "B" "HI" [124,] "B" "HI" [125,] "B" "LO" [126,] "C" "LO" [127,] "A" "HI" [128,] "A" "HI" [129,] "A" "LO" [130,] "B" "HI" [131,] "C" "LO" [132,] "D" "LO" [133,] "B" "HI" [134,] "B" "LO" [135,] "B" "HI" [136,] "A" "LO" [137,] "D" "LO" [138,] "B" "HI" [139,] "D" "LO" [140,] "B" "HI" [141,] "C" "LO" [142,] "B" "LO" [143,] "A" "LO" [144,] "B" "LO" [145,] "B" "LO" [146,] "A" "HI" [147,] "A" "LO" [148,] "D" "HI" [149,] "D" "LO" [150,] "D" "HI" [151,] "A" "HI" [152,] "C" "HI" [153,] "A" "HI" [154,] "D" "HI" [155,] "D" "HI" [156,] "C" "LO" [157,] "C" "HI" [158,] "B" "LO" [159,] "A" "LO" [160,] "C" "HI" [161,] "D" "LO" [162,] "C" "HI" > (table1 <- table(z[,cat1],z[,cat2])) HI LO A 29 14 B 34 26 C 11 8 D 23 17 > (V1<-dimnames(y)[[1]][cat1]) [1] "Happiness" > (V2<-dimnames(y)[[1]][cat2]) [1] "Connected\r" > postscript(file="/var/wessaorg/rcomp/tmp/1c38f1321110462.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/2dylx1321110462.tab") > (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) ) Pearson's Chi-squared test data: table1 X-squared = 1.4068, df = 3, p-value = 0.7039 > 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$expected[nr, nc], digits=2), 1, FALSE) + } + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/3ecot1321110462.tab") + } > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Statistical Results',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, cst$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/wessaorg/rcomp/tmp/42f7z1321110462.tab") > > try(system("convert tmp/1c38f1321110462.ps tmp/1c38f1321110462.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.982 0.094 1.082