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Data X:
123.1 7.8 4.25 136.6 8 4.25 112.1 8.1 4.25 95.1 8.2 3.85 96.3 8.3 3.75 105.7 8.2 3.75 115.8 8 3.55 105.7 7.9 3.5 105.7 7.6 3.5 111.1 7.6 3.1 82.4 8.3 3 60 8.4 3 107.3 8.4 3 99.3 8.4 3 113.5 8.4 3 108.9 8.6 3 100.2 8.9 3 103.9 8.8 3 138.9 8.3 3 120.2 7.5 3 100.2 7.2 3 143.2 7.4 3 70.9 8.8 3 85.2 9.3 3 133 9.3 3 136.6 8.7 3 117.9 8.2 3 106.3 8.3 3 122.3 8.5 3 125.5 8.6 3 148.4 8.5 3 126.3 8.2 3 99.6 8.1 3 140.4 7.9 3 80.3 8.6 3 92.6 8.7 3 138.5 8.7 3 110.9 8.5 3 119.6 8.4 3 105 8.5 3.21 109 8.7 3.25 129.4 8.7 3.25 148.6 8.6 3.45 101.4 8.5 3.5 134.8 8.3 3.5 143.7 8 3.64 81.6 8.2 3.75 90.3 8.1 3.93 141.5 8.1 4 140.7 8 4.17 140.2 7.9 4.25 100.2 7.9 4.39 125.7 8 4.5 119.6 8 4.5 134.7 7.9 4.65 109 8 4.75 116.3 7.7 4.75 146.9 7.2 4.9 97.4 7.5 5 89.4 7.3 5 132.1 7 5 139.8 7 5 129 7 5 112.5 7.2 5 121.9 7.3 5 121.7 7.1 5 123.1 6.8 5 131.6 6.4 5 119.3 6.1 5 132.5 6.5 5 98.3 7.7 5.18 85.1 7.9 5.25 131.7 7.5 5.25 129.3 6.9 4.49 90.7 6.6 3.92 78.6 6.9 3.25 68.9 7.7 3 79.1 8 3
Names of X columns:
Productie_personenwagens Bruto_werkloosheid Marginale_Beleningsfaciliteit
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Omit all rows with missing values?
no
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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Big Analytics Cloud Computing Center
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