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Data X:
99 101.5 108.4 115.4 126.6 117 106.9 93.9 103.8 107.1 89.8 100.8 99.3 93.4 110.6 99.2 101.5 104 108.3 110.4 112.6 105.6 105.9 107.3 99.5 108.4 98.9 107.4 113.9 109.8 93.1 86.1 104.9 88.1 69.4 102.2 110.7 101.2 123.9 113.1 100.5 124.9 99.6 98 112.7 93.6 106.6 121.9 98.6 90.1 100.6 99.6 96.9 104.3 114.3 125.9 120.4 107.8 112 107.5 101.2 100 102.9 112.5 123.9 125.6 100.5 79.8 107.5 93.9 83.4 108.8 116.2 113.6 128.4 112 112.9 121.1 106.4 104 119.5 95.7 109.9 128.7 96 99 108.7 95.8 106.3 105.5 103 128.9 119.8 102.2 111.1 111.3 98.4 102.9 110.6 111.4 130 120.1 86.6 87 97.5 91.3 87.5 107.7 107.9 117.6 127.3 101.8 103.4 117.2 104.4 110.8 119.8 93.4 112.6 116.2 100.1 102.5 111 98.5 112.4 112.4 112.9 135.6 130.6 101.4 105.1 109.1 107.1 127.7 118.8 110.8 137 123.9 90.3 91 101.6 95.5 90.5 112.8 111.4 122.4 128 113 123.3 129.6 107.5 124.3 125.8 95.9 120 119.5 106.3 118.1 115.7 105.2 119 113.6 117.2 142.7 129.7 106.9 123.6 112 108.2 129.6 116.8 110 146.9 126.3 96.1 108.7 112.9 100.6 99.4 115.9
Names of X columns:
Interm Invest Consump
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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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