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Data X:
36 29 114.1 4.3 24 31 110.3 3.9 10 31 103.9 4 17 33 101.6 4.3 14 37 94.6 4.8 61 30 95.9 4.4 57 20 104.7 4.3 34 19 102.8 4.7 53 17 98.1 4.7 11 22 113.9 4.9 56 12 80.9 5 51 25 95.7 4.2 36 25 113.2 4.3 33 29 105.9 4.8 16 32 108.8 4.8 12 31 102.3 4.8 21 28 99 4.2 63 28 100.7 4.6 55 28 115.5 4.8 47 32 100.7 4.5 48 35 109.9 4.4 12 30 114.6 4.3 48 32 85.4 3.9 59 38 100.5 3.7 41 37 114.8 4 39 28 116.5 4.1 20 34 112.9 3.7 38 35 102 3.8 49 32 106 3.8 59 39 105.3 3.8 36 37 118.8 3.3 42 38 106.1 3.3 46 35 109.3 3.3 8 25 117.2 3.2 53 25 92.5 3.4 50 26 104.2 4.2 47 13 112.5 4.9 24 19 122.4 5.1 17 17 113.3 5.5 45 21 100 5.6 47 23 110.7 6.4 27 18 112.8 6.1 45 12 109.8 7.1 31 7 117.3 7.8 45 4 109.1 7.9 13 14 115.9 7.4 39 16 96 7.5 47 13 99.8 6.8 30 13 116.8 5.2 14 10 115.7 4.7 3 19 99.4 4.1 5 13 94.3 3.9 43 14 91 2.6 53 25 93.2 2.7 35 28 103.1 1.8 21 30 94.1 1 34 31 91.8 0.3 1 42 102.7 1.3 44 41 82.6 1 46 38 89.1 1.1
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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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