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Type 'q()' to quit R. > x <- array(list(41 + ,14 + ,39 + ,18 + ,30 + ,11 + ,31 + ,12 + ,34 + ,16 + ,35 + ,18 + ,39 + ,14 + ,34 + ,14 + ,36 + ,15 + ,37 + ,15 + ,38 + ,17 + ,36 + ,19 + ,38 + ,10 + ,39 + ,16 + ,33 + ,18 + ,32 + ,14 + ,36 + ,14 + ,38 + ,17 + ,39 + ,14 + ,32 + ,16 + ,32 + ,18 + ,31 + ,11 + ,39 + ,14 + ,37 + ,12 + ,39 + ,17 + ,41 + ,9 + ,36 + ,16 + ,33 + ,14 + ,33 + ,15 + ,34 + ,11 + ,31 + ,16 + ,27 + ,13 + ,37 + ,17 + ,34 + ,15 + ,34 + ,14 + ,32 + ,16 + ,29 + ,9 + ,36 + ,15 + ,29 + ,17 + ,35 + ,13 + ,37 + ,15 + ,34 + ,16 + ,38 + ,16 + ,35 + ,12 + ,38 + ,12 + ,37 + ,11 + ,38 + ,15 + ,33 + ,15 + ,36 + ,17 + ,38 + ,13 + ,32 + ,16 + ,32 + ,14 + ,32 + ,11 + ,34 + ,12 + ,32 + ,12 + ,37 + ,15 + ,39 + ,16 + ,29 + ,15 + ,37 + ,12 + ,35 + ,12 + ,30 + ,8 + ,38 + ,13 + ,34 + ,11 + ,31 + ,14 + ,34 + ,15 + ,35 + ,10 + ,36 + ,11 + ,30 + ,12 + ,39 + ,15 + ,35 + ,15 + ,38 + ,14 + ,31 + ,16 + ,34 + ,15 + ,38 + ,15 + ,34 + ,13 + ,39 + ,12 + ,37 + ,17 + ,34 + ,13 + ,28 + ,15 + ,37 + ,13 + ,33 + ,15 + ,37 + ,16 + ,35 + ,15 + ,37 + ,16 + ,32 + ,15 + ,33 + ,14 + ,38 + ,15 + ,33 + ,14 + ,29 + ,13 + ,33 + ,7 + ,31 + ,17 + ,36 + ,13 + ,35 + ,15 + ,32 + ,14 + ,29 + ,13 + ,39 + ,16 + ,37 + ,12 + ,35 + ,14 + ,37 + ,17 + ,32 + ,15 + ,38 + ,17 + ,37 + ,12 + ,36 + ,16 + ,32 + ,11 + ,33 + ,15 + ,40 + ,9 + ,38 + ,16 + ,41 + ,15 + ,36 + ,10 + ,43 + ,10 + ,30 + ,15 + ,31 + ,11 + ,32 + ,13 + ,32 + ,14 + ,37 + ,18 + ,37 + ,16 + ,33 + ,14 + ,34 + ,14 + ,33 + ,14 + ,38 + ,14 + ,33 + ,12 + ,31 + ,14 + ,38 + ,15 + ,37 + ,15 + ,33 + ,15 + ,31 + ,13 + ,39 + ,17 + ,44 + ,17 + ,33 + ,19 + ,35 + ,15 + ,32 + ,13 + ,28 + ,9 + ,40 + ,15 + ,27 + ,15 + ,37 + ,15 + ,32 + ,16 + ,28 + ,11 + ,34 + ,14 + ,30 + ,11 + ,35 + ,15 + ,31 + ,13 + ,32 + ,15 + ,30 + ,16 + ,30 + ,14 + ,31 + ,15 + ,40 + ,16 + ,32 + ,16 + ,36 + ,11 + ,32 + ,12 + ,35 + ,9 + ,38 + ,16 + ,42 + ,13 + ,34 + ,16 + ,35 + ,12 + ,35 + ,9 + ,33 + ,13 + ,36 + ,13 + ,32 + ,14 + ,33 + ,19 + ,34 + ,13 + ,32 + ,12 + ,34 + ,13) + ,dim=c(2 + ,162) + ,dimnames=list(c('Connected' + ,'Happiness') + ,1:162)) > y <- array(NA,dim=c(2,162),dimnames=list(c('Connected','Happiness'),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' > 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,] 41 14 [2,] 39 18 [3,] 30 11 [4,] 31 12 [5,] 34 16 [6,] 35 18 [7,] 39 14 [8,] 34 14 [9,] 36 15 [10,] 37 15 [11,] 38 17 [12,] 36 19 [13,] 38 10 [14,] 39 16 [15,] 33 18 [16,] 32 14 [17,] 36 14 [18,] 38 17 [19,] 39 14 [20,] 32 16 [21,] 32 18 [22,] 31 11 [23,] 39 14 [24,] 37 12 [25,] 39 17 [26,] 41 9 [27,] 36 16 [28,] 33 14 [29,] 33 15 [30,] 34 11 [31,] 31 16 [32,] 27 13 [33,] 37 17 [34,] 34 15 [35,] 34 14 [36,] 32 16 [37,] 29 9 [38,] 36 15 [39,] 29 17 [40,] 35 13 [41,] 37 15 [42,] 34 16 [43,] 38 16 [44,] 35 12 [45,] 38 12 [46,] 37 11 [47,] 38 15 [48,] 33 15 [49,] 36 17 [50,] 38 13 [51,] 32 16 [52,] 32 14 [53,] 32 11 [54,] 34 12 [55,] 32 12 [56,] 37 15 [57,] 39 16 [58,] 29 15 [59,] 37 12 [60,] 35 12 [61,] 30 8 [62,] 38 13 [63,] 34 11 [64,] 31 14 [65,] 34 15 [66,] 35 10 [67,] 36 11 [68,] 30 12 [69,] 39 15 [70,] 35 15 [71,] 38 14 [72,] 31 16 [73,] 34 15 [74,] 38 15 [75,] 34 13 [76,] 39 12 [77,] 37 17 [78,] 34 13 [79,] 28 15 [80,] 37 13 [81,] 33 15 [82,] 37 16 [83,] 35 15 [84,] 37 16 [85,] 32 15 [86,] 33 14 [87,] 38 15 [88,] 33 14 [89,] 29 13 [90,] 33 7 [91,] 31 17 [92,] 36 13 [93,] 35 15 [94,] 32 14 [95,] 29 13 [96,] 39 16 [97,] 37 12 [98,] 35 14 [99,] 37 17 [100,] 32 15 [101,] 38 17 [102,] 37 12 [103,] 36 16 [104,] 32 11 [105,] 33 15 [106,] 40 9 [107,] 38 16 [108,] 41 15 [109,] 36 10 [110,] 43 10 [111,] 30 15 [112,] 31 11 [113,] 32 13 [114,] 32 14 [115,] 37 18 [116,] 37 16 [117,] 33 14 [118,] 34 14 [119,] 33 14 [120,] 38 14 [121,] 33 12 [122,] 31 14 [123,] 38 15 [124,] 37 15 [125,] 33 15 [126,] 31 13 [127,] 39 17 [128,] 44 17 [129,] 33 19 [130,] 35 15 [131,] 32 13 [132,] 28 9 [133,] 40 15 [134,] 27 15 [135,] 37 15 [136,] 32 16 [137,] 28 11 [138,] 34 14 [139,] 30 11 [140,] 35 15 [141,] 31 13 [142,] 32 15 [143,] 30 16 [144,] 30 14 [145,] 31 15 [146,] 40 16 [147,] 32 16 [148,] 36 11 [149,] 32 12 [150,] 35 9 [151,] 38 16 [152,] 42 13 [153,] 34 16 [154,] 35 12 [155,] 35 9 [156,] 33 13 [157,] 36 13 [158,] 32 14 [159,] 33 19 [160,] 34 13 [161,] 32 12 [162,] 34 13 > (table1 <- table(z[,cat1],z[,cat2])) 7 8 9 10 11 12 13 14 15 16 17 18 19 27 0 0 0 0 0 0 1 0 1 0 0 0 0 28 0 0 1 0 1 0 0 0 1 0 0 0 0 29 0 0 1 0 0 0 2 0 1 0 1 0 0 30 0 1 0 0 2 1 0 1 1 1 0 0 0 31 0 0 0 0 2 1 2 2 1 2 1 0 0 32 0 0 0 0 2 3 2 5 3 5 0 1 0 33 1 0 0 0 0 1 1 5 5 0 0 1 2 34 0 0 0 0 2 1 4 4 3 3 0 0 0 35 0 0 2 1 0 3 1 1 5 0 0 1 0 36 0 0 0 1 2 0 2 1 2 2 1 0 1 37 0 0 0 0 1 4 1 0 5 3 3 1 0 38 0 0 0 1 0 1 2 2 4 3 3 0 0 39 0 0 0 0 0 1 0 3 1 3 2 1 0 40 0 0 1 0 0 0 0 0 1 1 0 0 0 41 0 0 1 0 0 0 0 1 1 0 0 0 0 42 0 0 0 0 0 0 1 0 0 0 0 0 0 43 0 0 0 1 0 0 0 0 0 0 0 0 0 44 0 0 0 0 0 0 0 0 0 0 1 0 0 > (V1<-dimnames(y)[[1]][cat1]) [1] "Connected" > (V2<-dimnames(y)[[1]][cat2]) [1] "Happiness" > postscript(file="/var/wessaorg/rcomp/tmp/17lnw1321101715.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/24c2h1321101715.tab") > (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) ) Pearson's Chi-squared test data: table1 X-squared = 232.0125, df = 204, p-value = 0.08681 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$expected[nr, nc], digits=2), 1, FALSE) + } + a<-table.row.end(a) + } + a<-table.end(a) + table.save(a,file="/var/wessaorg/rcomp/tmp/3iqzw1321101715.tab") + } > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Statistical Results',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, cst$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/47xqg1321101715.tab") > > try(system("convert tmp/17lnw1321101715.ps tmp/17lnw1321101715.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.543 0.100 2.635