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Data X:
20.7 8.3 21.2 8.2 20.7 8 19.6 7.9 18.6 7.6 18.7 7.6 23.8 8.3 24.9 8.4 24.8 8.4 23.8 8.4 22.3 8.4 21.7 8.6 20.7 8.9 19.7 8.8 18.4 8.3 17.4 7.5 17 7.2 18 7.4 23.8 8.8 25.5 9.3 25.6 9.3 23.7 8.7 22 8.2 21.3 8.3 20.7 8.5 20.4 8.6 20.3 8.5 20.4 8.2 19.8 8.1 19.5 7.9 23.1 8.6 23.5 8.7 23.5 8.7 22.9 8.5 21.9 8.4 21.5 8.5 20.5 8.7 20.2 8.7 19.4 8.6 19.2 8.5 18.8 8.3 18.8 8 22.6 8.2 23.3 8.1 23 8.1 21.4 8 19.9 7.9 18.8 7.9 18.6 8 18.4 8 18.6 7.9 19.9 8 19.2 7.7 18.4 7.2 21.1 7.5 20.5 7.3 19.1 7 18.1 7 17 7 17.1 7.2 17.4 7.3 16.8 7.1 15.3 6.8 14.3 6.4 13.4 6.1 15.3 6.5 22.1 7.7 23.7 7.9 22.2 7.5 19.5 6.9 16.6 6.6 17.3 6.9
Names of X columns:
WJ TW
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Omit all rows with missing values?
no
yes
Chart options
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Label x-axis:
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
Raw Input
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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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