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Data X:
18 12 20 23 20 19 22 14 18 22 25 24 19 15 20 25 20 20 28 21 24 16 15 21 28 28 28 21 11 10 22 22 22 24 22 19 24 27 27 26 24 23 28 23 24 24 24 24 20 21 25 26 20 24 21 19 21 28 25 28 27 16 28 23 24 22 24 21 26 24 22 26 22 25 21 21 23 26 25 20 23 20 21 20 21 22 24 26 25 25 23 23 24 21 19 20 27 21 24 25 19 25 23 25 23 25 16 21 23 24 23 19 24 21 22 18 18 24 28 24 19 15 18 21 17 21 27 18 23 25 26 25 25 18 22 23 22 22 17 19 23 28 17 24 25 26 25 20 21 22 25 26 24 21 21 21 24 12 24 28 20 25 20 20 23 19 24 27 24 24 27 21 22 23 24 21 18 23 20 20 18 23 23 27 19 24 25 24 26 20 21 20 21 16 23 23 17 22 27 23 23 24 20 17 27 19 20 24 18 22 23 18 18 24 21 19 21 20 19 23 17 16 27 25 26 25 17 25 19 17 23 24 24 18 25 21 22 23 22 26 23 18 25 25 22 26 26 20 26 26 21 24 16 21 22 23 20 21 26 18 22 25 25 28 23 23 22 26 21 26 22 20 20 20 21 24 27 20 21 20 22 23 22 15 23 24 24 23 21 22 22 24 21 23 26 17 21 24 23 27 24 22 23 27 23 26 25 16 27 27 18 27 19 25 23 22 18 23 22 14 23 25 20 28 23 19 24 24 18 20 24 22 23 23 21 22 22 14 15 24 5 27 19 25 23 25 21 23 26 11 20 18 20 18 24 9 22 28 15 20 23 23 21 19 21 25 19 9 19 27 24 25 24 16 24 26 20 22 21 15 28 25 18 22 28 22 21 19 21 23 20 21 19 26 21 21 27 20 25 23 24 23 18 15 28 23 24 14 21 18 23 23 24 24 22 24 25 21 15 15 14 19 23 24 20 26 26 26 21 24 26 26 22 23 23 20 13 15 20 16 16 18 22 20 18 21 20 25 11 21 28 23 28 23 18 19 20 19 21 22 15 22 27 8 27 24 15 20 23 21 17 20 25 26 22 14 21 21 21 24 24 18 21 26 18 25 24 12 22 18 24 17 17 17 14 23 20 23 21 24 28 21 22 24 24 15 22 22 22 24 24 26 25 24 17 21 24 23 22 23 19 16 21 21 18 24 23 27 19 19 17 19 18 25 23 16 24 25 23 21 24 13 21 21 18 19 18 23 27 23 21 28 20 23 19 23 16 23 23 17 25 23 20 26 23 18 25 27 20 25 19 19 24 25 26 24 25 9 24 21 23 22 25 9 21 17 13 17 22 27 23 23 22 17 27 12 25 27 18 19 5 6 8 19 17 14 24 22 22 23 22 25 28 23 28 25 19 25 27 20 24 16 17 15 25 24 24 26 20 28 24 18 24 23 23 25 24 27 23 27 25 26 25 24 26 19 12 22 19 16 25 24 24 22 20 23 26 21 24 20 28 24 26 26 26 26 19 19 21 23 28 21 23 23 24 21 21 21 26 19 18 25 23 23 25 23 26 24 20 23 23 18 25 22 20 20 27 28 25 26 21 26 23 25 19 22 18 21 26 24 23 22 28 24 17 9 6 25 22 22 22 26 21 28 28 28 22 18 24 21 23 14 24 15 20 26 24 28 26 12 19 24 12 24 27 20 21 22 25 21 23 24 26 22 23 24 23 18 26 15 20 25 20 22 23 22 20 24 25 25 24 27 28 26 24 25 23 21 14 20 17 16 16 26 24 24 20 13 20 22 19 23 24 18 23 23 16 18 22 8 21 28 27 25 21 23 23 24 20 26 28 20 26 25 26 24 24 23 23 24 24 21 21 21 23 20 15 20 26 22 23 16 25 24
Names of X columns:
AMS.E1 AMS.E2 AMS.E3
Sample Range:
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grey
grey
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black
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yellow
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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