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Data X:
8.2 9.9 1.59 8 9.8 1.26 7.5 9.3 1.13 6.8 8.3 1.92 6.5 8 2.61 6.6 8.5 2.26 7.6 10.4 2.41 8 11.1 2.26 8.1 10.9 2.03 7.7 10 2.86 7.5 9.2 2.55 7.6 9.2 2.27 7.8 9.5 2.26 7.8 9.6 2.57 7.8 9.5 3.07 7.5 9.1 2.76 7.5 8.9 2.51 7.1 9 2.87 7.5 10.1 3.14 7.5 10.3 3.11 7.6 10.2 3.16 7.7 9.6 2.47 7.7 9.2 2.57 7.9 9.3 2.89 8.1 9.4 2.63 8.2 9.4 2.38 8.2 9.2 1.69 8.2 9 1.96 7.9 9 2.19 7.3 9 1.87 6.9 9.8 1.6 6.6 10 1.63 6.7 9.8 1.22 6.9 9.3 1.21 7 9 1.49 7.1 9 1.64 7.2 9.1 1.66 7.1 9.1 1.77 6.9 9.1 1.82 7 9.2 1.78 6.8 8.8 1.28 6.4 8.3 1.29 6.7 8.4 1.37 6.6 8.1 1.12 6.4 7.7 1.51 6.3 7.9 2.24 6.2 7.9 2.94 6.5 8 3.09 6.8 7.9 3.46 6.8 7.6 3.64 6.4 7.1 4.39 6.1 6.8 4.15 5.8 6.5 5.21 6.1 6.9 5.8 7.2 8.2 5.91 7.3 8.7 5.39 6.9 8.3 5.46 6.1 7.9 4.72 5.8 7.5 3.14 6.2 7.8 2.63
Names of X columns:
WLMan WLVrouw Infl
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Omit all rows with missing values?
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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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