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Data X:
55.5 46.8 63 52.8 77.2 58.3 71.1 54.5 90.1 64.7 91.5 58.3 76.1 57.5 87.8 56.7 81 56 77.2 66.2 73.8 58.2 68.9 53.9 68.4 53.1 65.2 54.4 78.7 59.2 77 57.8 97.6 61.5 88.1 60.1 98.7 60.1 93.4 58.4 68 56.8 87.9 63.8 75.8 53.9 66.3 63.1 68.4 55.7 71.3 54.9 77.4 64.6 87.1 60.2 88.5 63.9 85.9 69.9 92.7 58.5 88.5 52 80.2 66.7 81.8 72 70.4 68.4 82.2 70.8 72.8 56.5 69 62.6 83 66.5 92.4 69.2 92.3 63.7 100.5 73.6 106.9 64.1 99.5 53.8 85.9 72.2 92.6 80.2 77.4 69.1 84.1 72 75.3 66.3 73.8 72.5 100.1 88.9 90.7 88.6 96.5 73.7 111.8 86 97.4 70 100.8 71.6 93.7 90.5 82 85.7 86 84.8 84.3 81.1 73.1 70.8 75.4 65.7 97.9 86.2 97.5 76.1 106 79.8 112.8 85.2 99.5 75.8 100.8 69.4 102.9 85 88.8 75 91.3 77.7 88.3 68.5 77.4 68.4 80.5 65 96.7 73.2 93.8 67.9 105 76.5 117.1 85.5 111.1 71.7 105.8 57.9 95.7 75.5 97.1 78.2 91 75.7 90.9 67.1 83.5 74.6 82.3 66.2 101.7 74.9 108.3 69.5 114 76.1 118.2 82.3 103.4 82.1 106.8 60.5 95.4 71.2 101.8 81.4 95.6 74.5 94.8 61.4 94 83.8 82.4 85.4 95.8 91.6 106.7 91.9 114.1 86.3 103.9 96.8 117.4 81 105.9 70.8 101.7 98.8 98.7 94.5 91.3 84.5 102.3 92.8 80.5 81.2 86.7 75.7 102.6 86.7 107.3 87.5 108 87.8 124.3 103.1 117.1 96.4 103.9 77.1 104.7 106.5 95.9 95.7 94.2 95.3 102.7 86.6 70.3 89.6 90.2 81.9 107.3 98.4 104.6 92.9 102.7 83.9 124.5 121.8 117.8 103.9 104.2 87.5 99.9 118.9 91.5 109 95.7 112.2 91.4 100.1 86.2 111.3 91.5 102.7 115.5 122.6 113.9 124.8 131.9 120.3 121.2 118.3 105.2 108.7 107.5 100.7 113.8 124 100.5 103.1 104.8 115 103.8 112.7 93.1 101.7 106.2 111.5 117.5 114.4 109.9 112.5 123.6 107.2 131.7 136.7 111 107.8 122 94.6 110.9 110.7 108 126.6 103.6 127.9 107.3 109.2 94.4 87.1 85.2 90.8 113.2 94.5 111.7 103.3 124.3 103.2 124 105.4 133.4 103.9 112.6 79.8 115.8 105.6 112.3 113 103.6 87.7 111.4 110 95.1 90.3 93.4 108.9 117.3 105.1 121.5 113 123.1 100.4 139.3 110.1 125.8 114.7 108.6 88.6 121 117.2 111.6 127.7 99.7 107.8 116.7 102.8 90.3 100.2 90.4 108.4 117.3 114.2 121.6 94.4 114.6 92.2 133.3 115.3 127.4 102 115 86.3 112.6 112 108.3 112.5 107.6 109.5 109 105.9 89 115.3 102.5 126.2 124.5 112.2 124.2 112.5 130.8 106.9 138.7 90.6 127.6 75.6 130.9 78.8 136.9 101.8 125.2 93.9 131.3 100 124.1 89.2 103.2 97.7 118.1 121.1 136.5 108.8 117.8 92.9 145.1 113.6 158.8 112.6 136.9 98.8 132.7 78
Names of X columns:
drank Tabak
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R Code
if(par2=='yes') { z <- na.omit(as.data.frame(t(y))) } else { z <- as.data.frame(t(y)) } bitmap(file='test1.png') (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=TRUE,col=par1)) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Boxplot statistics',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower whisker',1,TRUE) a<-table.element(a,'lower hinge',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper hinge',1,TRUE) a<-table.element(a,'upper whisker',1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) for (j in 1:5) { a<-table.element(a,r$stats[j,i]) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Boxplot Notches',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower bound',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper bound',1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) a<-table.element(a,r$conf[1,i]) a<-table.element(a,r$stats[3,i]) a<-table.element(a,r$conf[2,i]) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable1.tab')
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