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Data X:
114.1 128.4 110.3 131.4 103.9 135.1 101.6 134 94.6 144.5 95.9 147.3 104.7 150.9 102.8 148.7 98.1 141.4 113.9 138.9 80.9 139.8 95.7 145.6 113.2 147.9 105.9 148.5 108.8 151.1 102.3 157.5 99 167.5 100.7 172.3 115.5 173.5 100.7 187.5 109.9 205.5 114.6 195.1 85.4 204.5 100.5 204.5 114.8 201.7 116.5 207 112.9 206.6 102 210.6 106 211.1 105.3 215 118.8 223.9 106.1 238.2 109.3 238.9 117.2 229.6 92.5 232.2 104.2 222.1 112.5 221.6 122.4 227.3 113.3 221 100 213.6 110.7 243.4 112.8 253.8 109.8 265.3 117.3 268.2 109.1 268.5 115.9 266.9 96 268.4 99.8 250.8 116.8 231.2 115.7 192 99.4 171.4 94.3 160 91 148.1 93.2 144.8 103.1 147.2 94.1 155.1 91.8 161.1 102.7 169.9 82.6 176.2 89.1 193.1 104.5 194.9
Names of X columns:
indprodind prijsgroind
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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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Big Analytics Cloud Computing Center
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