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Data X:
21 22 26 18 22 23 20 12 19 22 18 21 21 19 15 22 21 15 16 20 16 20 19 16 10 23 26 18 23 25 16 9 23 23 21 25 19 25 18 18 25 23 19 21 14 22 16 23 20 23 23 24 18 24 18 15 19 19 22 18 14 27 23 13 20 28 13 19 16 19 7 17 17 26 19 28 23 24 19 23 16 22 20 21 25 25 17 27 12 23 24 23 14 19 18 15 19 20 16 16 19 25 4 25 20 19 24 16 17 19 22 19 19 23 22 21 23 19 23 20 24 3 7 23 19 15 19 24 16 24 19 24 24 28 16 23 16 25 26 25 18 20 19 25 19 23 16 20 16 16 16 23 20 11 15 23 22 29 16 16 11 23 16 20 15 4 16 24 18 16 25 3 22 23 17 20 22 19 23 24 13 27 19 22 15 17 20 23 15 28 20 29 13 21 24 20 20 28 22 26 26 20 25 23 23 24 14 21 24 16 13 21 23 NA 22 28 26 23 16 29 11 18 19 22 25 14 19 15 NA 15 NA 20 NA 21 NA 17 NA 20 NA 24 NA 28 NA 20 NA 27 NA 22 NA 24 NA 18 NA 19 NA 23 NA 23 NA 19 NA 25 NA 24 NA 27 NA 16 NA 15 NA 27 NA 21 NA 16 NA 22 NA 17 NA 23 NA 14 NA 24 NA 21 NA NA NA 16 NA 19 NA 16 NA 11 NA 23 NA 27 NA 23 NA 24 NA 22 NA 26 NA 19 NA 19 NA 20 NA 16
Names of X columns:
NumF NumM
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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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Big Analytics Cloud Computing Center
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