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Data X:
93.2 96 95.2 77.1 70.9 64.8 70.1 77.3 79.5 100.6 100.7 107.1 95.9 82.8 83.3 80 80.4 67.5 75.7 71.1 89.3 101.1 105.2 114.1 96.3 84.4 91.2 81.9 80.5 70.4 74.8 75.9 86.3 98.7 100.9 113.8 89.8 84.4 87.2 85.6 72 69.2 77.5 78.1 94.3 97.7 100.2 116.4 97.1 93 96 80.5 76.1 69.9 73.6 92.6 94.2 93.5 108.5 109.4 105.1 92.5 97.1 81.4 79.1 72.1 78.7 87.1 91.4 109.9 116.3 113 100 84.8 94.3 87.1 90.3 72.4 84.9 92.7 92.2 114.9 112.5 118.3 106 91.2 96.6 96.3 88.2 70.2 86.5 88.2 102.8 119.1 119.2 125.1 106.1 102.1 105.2 101 84.3 87.5 92.7 94.4 113 113.9 122.9 132.7 106.9 96.6 127.3 98.2 100.2 89.4 95.3 104.2 106.4 116.2 135.9 134 104.6 107.1 123.5 98.8 98.6 90.6 89.1 105.2 114 122.1 138 142.2 116.4 112.6 123.8 103.6 113.9 98.6 95 116 113.9 127.5 131.4 145.9 131.5 131 130.5 118.9 114.3 85.7 104.6 105.1 117.3 142.5 140 159.8 131.2 125.4 126.5 119.4 113.5 98.7 114.5 113.8 133.1 143.4 137.3 165.2 126.9 124 135.7 130 109.4 117.8 120.3 121 132.3 142.9 147.4 175.9 132.6 123.7 153.3 134 119.6 116.2 118.6 130.7 129.3 144.4 163.2 179.4 128.1 138.4 152.7 120 140.5 116.2 121.4 127.8 143.6 157.6 166.2 182.3 153.1 147.6 157.7 137.2 151.5 98.7 145.8 151.7 129.4 174.1 197 193.9 164.1 142.8 157.9 159.2 162.2 123.1 130 150.1 169.4 179.7 182.1 194.3 161.4 169.4 168.8 158.1 158.5 135.3 149.3 143.4 142.2 188.4 166.2 199.2 182.7 145.2 182.1 158.7 141.6 132.6 139.6 147 166.6 157 180.4 210.2 159.8 157.8 168.2 158.4 152 142.2 137.2 152.6 166.8 165.6 198.6 201.5 170.7 164.4 179.7 157 168 139.3 138.6 153.4 138.9 172.1 198.4 217.8 173.7 153.8 175.6 147.1 160.3 135.2 148.8 151 148.2 182.2 189.2 183.1 170 158.4 176.1 156.2 153.2 117.9 149.8 156.6 166.7 156.8 158.6 210.8 203.6 175.2 168.7 155.9 147.3 137 141.1 167.4 160.2 191.9 174.4 208.2 159.4 161.1 172.1 158.4 114.6 159.6 159.7 159.4 160.7 165.5 205 205.2 141.6 148.1 184.9 132.5 137.3 135.5 121.7 166.1 146.8 162.8 186.8 185.5 151.5 158.1 143 151.2 147.6 130.7 137.5 146.1 133.6 167.9 181.9 202 166.5 151.3 146.2 148.3 144.7 123.6 151.6 133.9 137.4 181.6 182 190 161.2 155.5 141.9 164.6 136.2 126.8 152.5 126.6 150.1 186.3 147.5 200.4 177.2 127.4 177.1 154.4 135.2 126.4 147.3 140.6 152.3 151.2 172.2 215.3 154.1 159.3 160.4 151.9 148.4 139.6 148.2 153.5 145.1 183.7 210.5 203.3 153.3 144.3 169.6 143.7 160.1 135.6 141.8 159.9 145.7 183.5 198.2 186.8 172 150.6 163.3 153.7 152.9 135.5 148.5 148.4 133.6 194.1 208.6 197.3 164.4 148.1 152 144.1 155 124.5 153 146 138 190 192 192 147 133 163 150 129 131 145 137 138 168 176 188 139 143 150 154 137 129 128 140 143 151 177 184 151 134 164 126 131 125 127 143 143 160 190 182 138 136 152 127 151 130 119 153
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R Code
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,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of 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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