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Type 'q()' to quit R. > x <- array(list('Often' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'g' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'b' + ,'Often' + ,'g' + ,'Often' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'g' + ,'Often' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'b' + ,'Rarely' + ,'b' + ,'Often' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'b' + ,'Often' + ,'g' + ,'Often' + ,'b' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'b' + ,'Often' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'g' + ,'Often' + ,'g' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'g' + ,'Often' + ,'g' + ,'Often' + ,'g' + ,'Rarely' + ,'g' + ,'Often' + ,'b' + ,'Rarely' + ,'b' + ,'Rarely' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'g' + ,'Often' + ,'b' + ,'Not_bul' + ,'b' + ,'Often' + ,'b' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Rarely' + ,'g' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'b' + ,'Rarely' + ,'b' + ,'Often' + ,'b' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'g' + ,'Often' + ,'g' + ,'Often' + ,'b' + ,'Often' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'b' + ,'Rarely' + ,'b' + ,'Often' + ,'g' + ,'Often' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Often' + ,'g' + ,'Often' + ,'g' + ,'Often' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Rarely' + ,'g' + ,'Often' + ,'g' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'b' + ,'Often' + ,'g' + ,'Rarely' + ,'g' + ,'Often' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'b' + ,'Often' + ,'b' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'g' + ,'Rarely' + ,'b' + ,'Often' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'g' + ,'Often' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'g' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Often' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'b' + ,'Often' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Often' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'g' + ,'Often' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'b' + ,'Often' + ,'b' + ,'Often' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Often' + ,'b' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'b' + ,'Rarely' + ,'b' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'b' + ,'Often' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'g' + ,'Rarely' + ,'b' + ,'Often' + ,'b' + ,'Rarely' + ,'g' + ,'Often' + ,'g' + ,'Rarely' + ,'b' + ,'Rarely' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'b' + ,'Rarely' + ,'g' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Rarely' + ,'b' + ,'Not_bul' + ,'g' + ,'Often' + ,'g' + ,'Not_bul' + ,'b' + ,'Not_bul' + ,'g' + ,'Not_bul' + ,'b') + ,dim=c(2 + ,193) + ,dimnames=list(c('how_often_bullied' + ,'gender') + ,1:193)) > y <- array(NA,dim=c(2,193),dimnames=list(c('how_often_bullied','gender'),1:193)) > 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' > #'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: > 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,] "Often" "g" [2,] "Not_bul" "g" [3,] "Rarely" "g" [4,] "Rarely" "g" [5,] "Not_bul" "b" [6,] "Not_bul" "b" [7,] "Not_bul" "b" [8,] "Not_bul" "g" [9,] "Not_bul" "g" [10,] "Rarely" "b" [11,] "Not_bul" "g" [12,] "Often" "b" [13,] "Often" "g" [14,] "Often" "b" [15,] "Not_bul" "g" [16,] "Not_bul" "g" [17,] "Rarely" "b" [18,] "Rarely" "b" [19,] "Not_bul" "b" [20,] "Not_bul" "g" [21,] "Rarely" "b" [22,] "Not_bul" "b" [23,] "Not_bul" "g" [24,] "Often" "g" [25,] "Often" "b" [26,] "Not_bul" "b" [27,] "Not_bul" "b" [28,] "Rarely" "b" [29,] "Often" "b" [30,] "Not_bul" "g" [31,] "Often" "b" [32,] "Often" "g" [33,] "Often" "b" [34,] "Rarely" "g" [35,] "Not_bul" "b" [36,] "Not_bul" "g" [37,] "Often" "b" [38,] "Often" "g" [39,] "Not_bul" "b" [40,] "Not_bul" "g" [41,] "Not_bul" "g" [42,] "Rarely" "b" [43,] "Rarely" "g" [44,] "Not_bul" "g" [45,] "Not_bul" "b" [46,] "Not_bul" "g" [47,] "Rarely" "b" [48,] "Not_bul" "g" [49,] "Often" "g" [50,] "Often" "g" [51,] "Rarely" "b" [52,] "Not_bul" "g" [53,] "Not_bul" "b" [54,] "Rarely" "g" [55,] "Not_bul" "b" [56,] "Not_bul" "b" [57,] "Not_bul" "g" [58,] "Rarely" "g" [59,] "Not_bul" "g" [60,] "Often" "g" [61,] "Often" "g" [62,] "Rarely" "g" [63,] "Often" "b" [64,] "Rarely" "b" [65,] "Rarely" "g" [66,] "Rarely" "b" [67,] "Rarely" "g" [68,] "Often" "b" [69,] "Not_bul" "b" [70,] "Often" "b" [71,] "Rarely" "g" [72,] "Not_bul" "b" [73,] "Not_bul" "g" [74,] "Not_bul" "b" [75,] "Rarely" "g" [76,] "Rarely" "g" [77,] "Not_bul" "g" [78,] "Rarely" "b" [79,] "Rarely" "b" [80,] "Rarely" "b" [81,] "Often" "b" [82,] "Not_bul" "g" [83,] "Rarely" "g" [84,] "Not_bul" "g" [85,] "Often" "g" [86,] "Often" "b" [87,] "Often" "b" [88,] "Not_bul" "g" [89,] "Often" "b" [90,] "Rarely" "b" [91,] "Often" "g" [92,] "Often" "g" [93,] "Not_bul" "b" [94,] "Not_bul" "g" [95,] "Not_bul" "b" [96,] "Not_bul" "g" [97,] "Not_bul" "g" [98,] "Often" "g" [99,] "Often" "g" [100,] "Often" "g" [101,] "Not_bul" "g" [102,] "Not_bul" "g" [103,] "Not_bul" "b" [104,] "Rarely" "g" [105,] "Often" "g" [106,] "Rarely" "b" [107,] "Not_bul" "b" [108,] "Not_bul" "g" [109,] "Often" "b" [110,] "Often" "g" [111,] "Rarely" "g" [112,] "Often" "b" [113,] "Not_bul" "g" [114,] "Often" "b" [115,] "Often" "b" [116,] "Rarely" "b" [117,] "Not_bul" "b" [118,] "Not_bul" "g" [119,] "Often" "g" [120,] "Rarely" "b" [121,] "Often" "b" [122,] "Not_bul" "g" [123,] "Not_bul" "g" [124,] "Rarely" "g" [125,] "Often" "g" [126,] "Not_bul" "g" [127,] "Rarely" "b" [128,] "Rarely" "g" [129,] "Not_bul" "g" [130,] "Rarely" "b" [131,] "Rarely" "g" [132,] "Rarely" "g" [133,] "Not_bul" "g" [134,] "Not_bul" "g" [135,] "Not_bul" "b" [136,] "Often" "g" [137,] "Rarely" "b" [138,] "Rarely" "b" [139,] "Often" "g" [140,] "Not_bul" "g" [141,] "Not_bul" "b" [142,] "Often" "g" [143,] "Rarely" "b" [144,] "Rarely" "g" [145,] "Often" "g" [146,] "Not_bul" "b" [147,] "Not_bul" "g" [148,] "Rarely" "g" [149,] "Not_bul" "b" [150,] "Often" "b" [151,] "Often" "g" [152,] "Not_bul" "g" [153,] "Not_bul" "g" [154,] "Not_bul" "b" [155,] "Not_bul" "g" [156,] "Not_bul" "g" [157,] "Not_bul" "g" [158,] "Rarely" "b" [159,] "Often" "b" [160,] "Not_bul" "g" [161,] "Rarely" "b" [162,] "Not_bul" "g" [163,] "Often" "b" [164,] "Rarely" "b" [165,] "Rarely" "b" [166,] "Not_bul" "g" [167,] "Often" "b" [168,] "Often" "g" [169,] "Not_bul" "b" [170,] "Not_bul" "g" [171,] "Not_bul" "b" [172,] "Not_bul" "b" [173,] "Not_bul" "g" [174,] "Often" "g" [175,] "Rarely" "b" [176,] "Often" "b" [177,] "Rarely" "g" [178,] "Often" "g" [179,] "Rarely" "b" [180,] "Rarely" "g" [181,] "Not_bul" "b" [182,] "Not_bul" "b" [183,] "Rarely" "g" [184,] "Rarely" "b" [185,] "Not_bul" "g" [186,] "Not_bul" "b" [187,] "Not_bul" "g" [188,] "Rarely" "b" [189,] "Not_bul" "g" [190,] "Often" "g" [191,] "Not_bul" "b" [192,] "Not_bul" "g" [193,] "Not_bul" "b" > (table1 <- table(z[,cat1],z[,cat2])) b g Not_bul 34 53 Often 24 28 Rarely 30 24 > (V1<-dimnames(y)[[1]][cat1]) [1] "how_often_bullied" > (V2<-dimnames(y)[[1]][cat2]) [1] "gender" > > #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/1x6wx1321804841.tab") > (cst<-chisq.test(table1, simulate.p.value=simulate.p.value) ) Pearson's Chi-squared test data: table1 X-squared = 3.6547, df = 2, p-value = 0.1608 > 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/2z8ue1321804841.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/3s5iv1321804841.tab") > > > > proc.time() user system elapsed 0.454 0.052 0.494