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Data X:
196.09 192.64 189.19 182.29 252.11 248.66 196.09 161.18 164.62 164.62 168.08 175.35 154.27 133.16 115.88 115.88 182.29 189.19 136.61 77.14 108.60 108.60 133.16 147.34 143.89 108.60 126.26 119.33 178.80 164.62 108.60 66.75 105.15 115.88 126.26 140.07 112.05 87.87 98.25 101.70 192.64 192.64 140.07 133.16 154.27 143.89 171.90 206.82 213.75 164.62 150.79 136.61 231.38 238.31 220.65 238.31 234.83 206.82 238.31 273.23 287.40 245.21 217.20 238.31 329.25 357.26 350.36 364.16 360.71 325.80 385.28 399.45 420.19 357.26 332.70 360.71 427.46 486.94 472.76 472.76 479.70 455.47 518.44 518.44 507.71 448.20 458.93 465.86 511.50 570.98 528.79 549.90 532.24 521.88 602.47 584.81 560.25 525.34 560.25 577.91 598.99 627.00 598.99 616.28 595.20 591.75 679.23 686.51 658.50 609.37 651.22 668.85 689.96 721.42 689.96 714.52 703.80 665.40 745.98 745.98
Names of X columns:
Maanden
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Omzet UK Shipping (EUR)
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Niet gekend
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yes
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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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0 seconds
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Big Analytics Cloud Computing Center
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