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Data X:
24 8.1 10.9 22.9 23 7.7 10 22.6 24 7.5 9.2 22.3 24 7.6 9.2 22.3 27 7.8 9.5 22.6 28 7.8 9.6 23.1 25 7.8 9.5 22.8 19 7.5 9.1 22.5 19 7.5 8.9 22.9 19 7.1 9 23.1 20 7.5 10.1 23.1 16 7.5 10.3 23.2 22 7.6 10.2 22.5 21 7.7 9.6 22.6 25 7.7 9.2 22.9 29 7.9 9.3 22.6 28 8.1 9.4 22.4 25 8.2 9.4 21.7 26 8.2 9.2 22 24 8.2 9 22.2 28 7.9 9 21.9 28 7.3 9 21.6 28 6.9 9.8 21.6 28 6.6 10 21.2 32 6.7 9.8 21.2 31 6.9 9.3 21.5 22 7 9 21.6 29 7.1 9 21.7 31 7.2 9.1 21.8 29 7.1 9.1 21.8 32 6.9 9.1 21.8 32 7 9.2 21.3 31 6.8 8.8 21.3 29 6.4 8.3 21.4 28 6.7 8.4 21.1 28 6.6 8.1 21.5 29 6.4 7.7 22.2 22 6.3 7.9 22.9 26 6.2 7.9 23.1 24 6.5 8 23.5 27 6.8 7.9 23.6 27 6.8 7.6 24.4 23 6.4 7.1 24.2 21 6.1 6.8 25.2 19 5.8 6.5 25.8 17 6.1 6.9 25.9 19 7.2 8.2 25.4 21 7.3 8.7 25.5 13 6.9 8.3 24.7 8 6.1 7.9 23.1 5 5.8 7.5 22.6 10 6.2 7.8 22.3 6 7.1 8.3 21.9 6 7.7 8.4 20.6 8 7.9 8.2 20.6 11 7.7 7.7 19.6 12 7.4 7.2 18.9 13 7.5 7.3 18.3 19 8 8.1 19.2 19 8.1 8.5 18.8
Names of X columns:
vi m v cpi
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Omit all rows with missing values?
no
yes
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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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0 seconds
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Big Analytics Cloud Computing Center
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