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Data X:
115.6 98.2 111.9 98.71 107 98.54 107.1 98.2 100.6 96.92 99.2 99.06 108.4 99.65 103 99.82 99.8 99.99 115 100.33 90.8 99.31 95.9 101.1 114.4 101.1 108.2 100.93 112.6 100.85 109.1 100.93 105 99.6 105 101.88 118.5 101.81 103.7 102.38 112.5 102.74 116.6 102.82 96.6 101.72 101.9 103.47 116.5 102.98 119.3 102.68 115.4 102.9 108.5 103.03 111.5 101.29 108.8 103.69 121.8 103.68 109.6 104.2 112.2 104.08 119.6 104.16 104.1 103.05 105.3 104.66 115 104.46 124.1 104.95 116.8 105.85 107.5 106.23 115.6 104.86 116.2 107.44 116.3 108.23 119 108.45 111.9 109.39 118.6 110.15 106.9 109.13 103.2 110.28 118.6 110.17 118.7 109.99 102.8 109.26 100.6 109.11 94.9 107.06 94.5 109.53 102.9 108.92 95.3 109.24 92.5 109.12 102.7 109 91.5 107.23 89.5 109.49
Names of X columns:
Ipzb Hicp
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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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Summary of computational transaction
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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