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Data X:
1.64 3.50 0.97 4.07 1.92 5.11 3.46 4.22 3.65 5.66 4.40 8.21 6.18 7.17 5.29 4.67 3.27 4.44 3.65 8.74 9.39 10.51 11.80 5.82 9.39 5.05 5.22 5.54 6.84 7.94 9.28 11.20 13.91 13.35 11.83 16.39 8.39 12.24 3.71 9.09 4.19 10.23 3.53 8.10 3.89 6.80 1.46 6.66 4.05 7.57 4.67 9.21 5.20 8.10 5.65 5.69 2.60 3.52 3.26 3.02 2.52 4.21 2.80 5.83 2.73 5.30 3.04 5.46 1.58 5.35 1.67 4.97 2.74 6.24 3.73 3.88 1.14 1.67 2.60 1.13 1.93 1.35 2.97 3.22 3.99 4.97 2.08 5.02 4.28 1.92 0.03 0.16 2.63 0.18 1.63 0.10 2.93 0.14 1.59 0.11 1.58 0.09
Names of X columns:
Usinflation InterestRate
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R Code
z <- na.omit(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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