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Type 'q()' to quit R. > x <- array(list('SHW' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,1 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'SHW' + ,'Female' + ,1 + ,'SHW' + ,'Male' + ,1 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,1 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,1 + ,'SHW' + ,'Male' + ,1 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,1 + ,'SHW' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,1 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Male' + ,1 + ,'SHW' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,1 + ,'SHW' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,1 + ,'BA2' + ,'Male' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'BA2' + ,'Female' + ,0 + ,'SHW' + ,'Female' + ,1 + ,'SHW' + ,'Female' + ,1 + ,'SHW' + ,'Female' + ,1 + ,'SHW' + ,'Male' + ,1 + ,'SHW' + ,'Female' + ,1) + ,dim=c(3 + ,143) + ,dimnames=list(c('course' + ,'gender' + ,'depression') + ,1:143)) > y <- array(NA,dim=c(3,143),dimnames=list(c('course','gender','depression'),1:143)) > 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 = 'Exact Pearson Chi-Squared by Simulation' > par2 = '3' > par1 = '2' > 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] [,3] [1,] "SHW" "Female" "0" [2,] "SHW" "Female" "0" [3,] "SHW" "Female" "0" [4,] "SHW" "Male" "0" [5,] "SHW" "Male" "0" [6,] "SHW" "Female" "0" [7,] "SHW" "Male" "0" [8,] "SHW" "Male" "0" [9,] "SHW" "Male" "0" [10,] "SHW" "Male" "0" [11,] "SHW" "Male" "0" [12,] "SHW" "Female" "0" [13,] "SHW" "Female" "0" [14,] "BA2" "Male" "0" [15,] "SHW" "Female" "0" [16,] "SHW" "Male" "0" [17,] "SHW" "Male" "0" [18,] "SHW" "Female" "0" [19,] "SHW" "Male" "0" [20,] "SHW" "Female" "0" [21,] "SHW" "Female" "0" [22,] "SHW" "Male" "0" [23,] "SHW" "Male" "0" [24,] "SHW" "Male" "0" [25,] "SHW" "Male" "0" [26,] "SHW" "Female" "0" [27,] "BA2" "Male" "0" [28,] "SHW" "Male" "0" [29,] "SHW" "Male" "0" [30,] "SHW" "Male" "0" [31,] "SHW" "Male" "0" [32,] "BA2" "Male" "0" [33,] "SHW" "Female" "0" [34,] "BA2" "Male" "0" [35,] "SHW" "Male" "0" [36,] "SHW" "Male" "0" [37,] "SHW" "Male" "0" [38,] "SHW" "Female" "0" [39,] "BA2" "Male" "0" [40,] "SHW" "Male" "0" [41,] "BA2" "Male" "0" [42,] "SHW" "Female" "0" [43,] "BA2" "Male" "0" [44,] "SHW" "Male" "0" [45,] "BA2" "Male" "0" [46,] "SHW" "Female" "0" [47,] "BA2" "Female" "0" [48,] "BA2" "Male" "0" [49,] "SHW" "Male" "0" [50,] "SHW" "Male" "0" [51,] "BA2" "Female" "0" [52,] "BA2" "Female" "0" [53,] "BA2" "Female" "0" [54,] "BA2" "Male" "0" [55,] "BA2" "Male" "0" [56,] "BA2" "Female" "0" [57,] "BA2" "Female" "0" [58,] "BA2" "Male" "0" [59,] "BA2" "Male" "0" [60,] "BA2" "Male" "0" [61,] "BA2" "Female" "0" [62,] "BA2" "Male" "0" [63,] "BA2" "Male" "0" [64,] "BA2" "Female" "0" [65,] "BA2" "Male" "0" [66,] "BA2" "Male" "0" [67,] "BA2" "Male" "0" [68,] "BA2" "Female" "0" [69,] "BA2" "Male" "0" [70,] "BA2" "Male" "0" [71,] "BA2" "Female" "0" [72,] "BA2" "Male" "0" [73,] "SHW" "Male" "0" [74,] "SHW" "Male" "0" [75,] "SHW" "Male" "0" [76,] "SHW" "Male" "0" [77,] "SHW" "Male" "0" [78,] "BA2" "Male" "0" [79,] "BA2" "Female" "1" [80,] "SHW" "Female" "0" [81,] "SHW" "Male" "0" [82,] "SHW" "Female" "0" [83,] "SHW" "Male" "0" [84,] "BA2" "Male" "0" [85,] "BA2" "Female" "0" [86,] "SHW" "Male" "0" [87,] "SHW" "Male" "0" [88,] "SHW" "Female" "0" [89,] "SHW" "Male" "0" [90,] "SHW" "Male" "0" [91,] "SHW" "Female" "0" [92,] "SHW" "Male" "0" [93,] "SHW" "Female" "0" [94,] "BA2" "Male" "0" [95,] "BA2" "Male" "0" [96,] "BA2" "Male" "0" [97,] "BA2" "Female" "0" [98,] "BA2" "Male" "0" [99,] "BA2" "Female" "0" [100,] "BA2" "Male" "0" [101,] "SHW" "Male" "0" [102,] "SHW" "Female" "1" [103,] "SHW" "Male" "1" [104,] "BA2" "Female" "0" [105,] "BA2" "Female" "0" [106,] "SHW" "Female" "0" [107,] "SHW" "Male" "0" [108,] "BA2" "Male" "0" [109,] "BA2" "Female" "1" [110,] "BA2" "Female" "0" [111,] "BA2" "Male" "0" [112,] "BA2" "Female" "0" [113,] "BA2" "Female" "0" [114,] "BA2" "Male" "0" [115,] "BA2" "Male" "0" [116,] "BA2" "Male" "0" [117,] "BA2" "Female" "0" [118,] "BA2" "Female" "0" [119,] "BA2" "Female" "0" [120,] "SHW" "Female" "1" [121,] "SHW" "Male" "1" [122,] "SHW" "Female" "0" [123,] "SHW" "Female" "0" [124,] "SHW" "Male" "1" [125,] "SHW" "Male" "0" [126,] "BA2" "Female" "0" [127,] "SHW" "Male" "1" [128,] "SHW" "Female" "0" [129,] "SHW" "Male" "1" [130,] "SHW" "Female" "0" [131,] "SHW" "Female" "1" [132,] "SHW" "Female" "0" [133,] "BA2" "Female" "1" [134,] "BA2" "Male" "0" [135,] "BA2" "Female" "0" [136,] "BA2" "Female" "0" [137,] "BA2" "Female" "0" [138,] "BA2" "Female" "0" [139,] "SHW" "Female" "1" [140,] "SHW" "Female" "1" [141,] "SHW" "Female" "1" [142,] "SHW" "Male" "1" [143,] "SHW" "Female" "1" > (table1 <- table(z[,cat1],z[,cat2])) 0 1 Female 52 10 Male 75 6 > (V1<-dimnames(y)[[1]][cat1]) [1] "gender" > (V2<-dimnames(y)[[1]][cat2]) [1] "depression" > postscript(file="/var/wessaorg/rcomp/tmp/1i0s51324133126.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/2ue7x1324133126.tab") > (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) ) Pearson's Chi-squared test with simulated p-value (based on 2000 replicates) data: table1 X-squared = 2.6883, df = NA, p-value = 0.1104 > 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/3kdyi1324133126.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/4ot6u1324133126.tab") > > try(system("convert tmp/1i0s51324133126.ps tmp/1i0s51324133126.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.893 0.095 0.998