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Data X:
26 21 20 16 19 19 19 18 20 16 25 23 25 17 22 12 26 19 22 16 17 19 22 20 19 13 24 20 26 27 21 17 13 8 26 25 20 26 22 13 14 19 21 15 7 5 23 16 17 14 25 24 25 24 19 9 20 19 23 19 22 25 22 19 21 18 15 15 20 12 22 21 18 12 20 15 28 28 22 25 18 19 23 20 20 24 25 26 26 25 15 12 17 12 23 15 21 17 13 14 18 16 19 11 22 20 16 11 24 22 18 20 20 19 24 17 14 21 22 23 24 18 18 17 21 27 23 25 17 19 22 22 24 24 21 20 22 19 16 11 21 22 23 22 22 16 24 20 24 24 16 16 16 16 21 22 26 24 15 16 25 27 18 11 23 21 20 20 17 20 25 27 24 20 17 12 19 8 20 21 15 18 27 24 22 16 23 18 16 20 19 20 25 19 19 17 19 16 26 26 21 15 20 22 24 17 22 23 20 21 18 19 18 14 24 17 24 12 22 24 23 18 22 20 20 16 18 20 25 22 18 12 16 16 20 17 19 22 15 12 19 14 19 23 16 15 17 17 28 28 23 20 25 23 20 13 17 18 23 23 16 19 23 23 11 12 18 16 24 23 23 13 21 22 16 18 24 23 23 20 18 10 20 17 9 18 24 15 25 23 20 17 21 17 25 22 22 20 21 20 21 19 22 18 27 22 24 20 24 22 21 18 18 16 16 16 22 16 20 16 18 17 20 18
Names of X columns:
I1 I2
Sample Range:
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grey
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yellow
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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Big Analytics Cloud Computing Center
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