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Type 'q()' to quit R. > x <- array(list('b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'b' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'g' + ,'Both' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'b' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'g' + ,'Mental' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'b' + ,'Physical' + ,'g' + ,'Physical' + ,'g' + ,'Physical' + ,'g' + ,'Physical' + ,'g' + ,'Physical' + ,'g' + ,'Physical') + ,dim=c(2 + ,111) + ,dimnames=list(c('gender' + ,'type_of_bullying') + ,1:111)) > y <- array(NA,dim=c(2,111),dimnames=list(c('gender','type_of_bullying'),1:111)) > 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-Square' > par2 = '2' > par1 = '1' > cat1 <- as.numeric(par1) # > cat2<- as.numeric(par2) # > simulate.p.value=FALSE > if (par3 == 'Exact Pearson Chi Square 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" "Both" [2,] "b" "Both" [3,] "b" "Both" [4,] "b" "Both" [5,] "b" "Both" [6,] "b" "Both" [7,] "b" "Both" [8,] "b" "Both" [9,] "b" "Both" [10,] "b" "Both" [11,] "b" "Both" [12,] "b" "Both" [13,] "b" "Both" [14,] "b" "Both" [15,] "b" "Both" [16,] "g" "Both" [17,] "g" "Both" [18,] "g" "Both" [19,] "g" "Both" [20,] "g" "Both" [21,] "g" "Both" [22,] "g" "Both" [23,] "g" "Both" [24,] "g" "Both" [25,] "g" "Both" [26,] "g" "Both" [27,] "g" "Both" [28,] "b" "Mental" [29,] "b" "Mental" [30,] "b" "Mental" [31,] "b" "Mental" [32,] "b" "Mental" [33,] "b" "Mental" [34,] "b" "Mental" [35,] "b" "Mental" [36,] "b" "Mental" [37,] "b" "Mental" [38,] "b" "Mental" [39,] "b" "Mental" [40,] "b" "Mental" [41,] "b" "Mental" [42,] "b" "Mental" [43,] "b" "Mental" [44,] "b" "Mental" [45,] "b" "Mental" [46,] "b" "Mental" [47,] "b" "Mental" [48,] "b" "Mental" [49,] "b" "Mental" [50,] "b" "Mental" [51,] "b" "Mental" [52,] "b" "Mental" [53,] "g" "Mental" [54,] "g" "Mental" [55,] "g" "Mental" [56,] "g" "Mental" [57,] "g" "Mental" [58,] "g" "Mental" [59,] "g" "Mental" [60,] "g" "Mental" [61,] "g" "Mental" [62,] "g" "Mental" [63,] "g" "Mental" [64,] "g" "Mental" [65,] "g" "Mental" [66,] "g" "Mental" [67,] "g" "Mental" [68,] "g" "Mental" [69,] "g" "Mental" [70,] "g" "Mental" [71,] "g" "Mental" [72,] "g" "Mental" [73,] "g" "Mental" [74,] "g" "Mental" [75,] "g" "Mental" [76,] "g" "Mental" [77,] "g" "Mental" [78,] "g" "Mental" [79,] "g" "Mental" [80,] "g" "Mental" [81,] "g" "Mental" [82,] "g" "Mental" [83,] "g" "Mental" [84,] "g" "Mental" [85,] "g" "Mental" [86,] "g" "Mental" [87,] "g" "Mental" [88,] "g" "Mental" [89,] "g" "Mental" [90,] "g" "Mental" [91,] "g" "Mental" [92,] "g" "Mental" [93,] "b" "Physical" [94,] "b" "Physical" [95,] "b" "Physical" [96,] "b" "Physical" [97,] "b" "Physical" [98,] "b" "Physical" [99,] "b" "Physical" [100,] "b" "Physical" [101,] "b" "Physical" [102,] "b" "Physical" [103,] "b" "Physical" [104,] "b" "Physical" [105,] "b" "Physical" [106,] "b" "Physical" [107,] "g" "Physical" [108,] "g" "Physical" [109,] "g" "Physical" [110,] "g" "Physical" [111,] "g" "Physical" > (table1 <- table(z[,cat1],z[,cat2])) Both Mental Physical b 15 25 14 g 12 40 5 > (V1<-dimnames(y)[[1]][cat1]) [1] "gender" > (V2<-dimnames(y)[[1]][cat2]) [1] "type_of_bullying" > > #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/1o6hj1321897935.tab") > (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) ) Pearson's Chi-squared test data: table1 X-squared = 7.9828, df = 2, p-value = 0.01847 > 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$expected[nr, nc], digits=2), 1, FALSE) + } + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/2co361321897935.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Statistical Results',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a, cst$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/301f41321897935.tab") > > > > proc.time() user system elapsed 0.272 0.034 0.298