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Data X:
21.4 26.9 26.4 27.8 26.4 28.7 29.4 30.5 34.4 31.8 24.4 31.4 26.4 34.8 25.4 32.2 31.4 33 27.4 32.4 27.4 30.5 29.4 28.6 32.4 30 26.4 28.2 22.4 27.6 19.4 24.9 21.4 23.8 23.4 24.3 23.4 23.6 25.4 24.2 28.4 28.1 27.4 30.1 21.4 31.1 17.4 32 24.4 32.4 26.4 34 22.4 35.1 14.4 37.1 18.4 37.3 25.4 38.1 29.4 39.5 26.4 38.3 26.4 37.3 20.4 38.7 26.4 37.5 29.4 38.7 33.4 37.9 32.4 36.6 35.4 35.5 34.4 37.6 36.4 38.6 32.4 40.3 34.4 39 31.4 36.8 27.4 36.5 27.4 34.1 30.4 34.2 32.4 31.9 32.4 33.7 27.4 33.5 31.4 33.8 29.4 29.9 27.4 32.3 25.4 30.5 26.4 28.5 23.4 29 18.4 23.8 22.4 17.9 17.4 9.9 17.4 3 11.4 4.2 9.4 0.4 6.4 0 0 2.4 7.8 4.2 7.9 8.2 12 9 16.9 13.6 12.3 14
Names of X columns:
vower conind
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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
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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