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Data X:
20 16 15 23 17 23 4 19 19 18 24 17 20 6 20 16 8 22 18 20 8 25 23 19 20 21 21 4 22 12 20 24 20 24 8 26 19 16 27 28 22 5 22 16 14 28 19 23 4 19 13 14 27 22 20 4 24 20 8 24 16 25 4 26 27 23 23 18 23 4 13 8 9 24 25 27 4 22 13 15 27 17 27 8 21 15 19 27 14 22 7 7 5 6 28 11 24 4 17 14 11 27 27 25 5 25 24 17 23 20 22 4 25 24 17 24 22 28 4 19 9 5 28 22 28 4 23 19 15 27 21 27 4 22 19 17 25 23 25 4 21 18 20 19 17 16 15 18 12 7 24 24 28 4 22 25 15 20 14 21 4 18 19 15 28 17 24 7 23 20 10 26 23 27 4 20 24 14 23 24 14 6 15 12 9 23 24 14 16 21 17 18 20 8 27 6 18 16 17 11 22 20 9 19 11 14 24 23 21 4 22 20 16 25 25 22 5 16 11 10 23 21 21 4 18 20 10 18 24 12 5 20 19 14 20 15 20 4 24 17 10 20 22 24 4 24 18 9 24 21 19 4 18 17 12 23 25 28 6 21 27 16 25 16 23 4 17 19 18 28 28 27 18 22 19 18 26 23 22 4 16 11 9 26 21 27 5 21 22 19 23 21 26 4 24 20 23 22 26 22 10 24 24 22 24 22 21 5 16 16 14 21 21 19 8 16 16 14 20 18 24 8 18 11 12 22 12 19 5 20 20 12 20 25 26 4 24 20 16 25 17 22 5 17 12 11 20 24 28 14 19 8 14 22 15 21 8 20 21 13 23 13 23 8 15 18 9 25 26 28 4 22 16 13 23 16 10 6 23 18 19 23 24 24 4 16 20 13 22 21 21 7 19 20 13 24 20 21 7 19 17 14 25 14 24 6 21 15 11 21 25 24 4 24 17 18 12 25 25 8 22 23 19 17 20 25 4 18 19 15 20 22 23 10 24 17 19 23 20 21 6 24 12 15 23 26 16 4 22 24 17 20 18 17 4 23 18 8 28 22 25 4 22 20 10 24 24 24 5 20 16 12 24 17 23 4 18 20 12 24 24 25 6 25 22 20 24 20 23 4 16 16 12 28 19 28 7 20 17 14 25 20 26 8 15 12 10 21 15 22 8 19 14 18 25 23 19 10 19 23 18 25 26 26 8 16 15 7 18 22 18 5 17 17 18 17 20 18 12 28 28 9 26 24 25 4 25 23 22 28 26 27 4 20 13 11 21 21 12 6 16 19 15 27 25 15 7 23 13 14 22 13 21 8 21 22 14 21 20 23 11 23 20 20 25 22 22 8 18 10 8 22 23 21 6 20 17 17 23 28 24 7 9 18 9 26 22 27 5 25 23 22 19 20 22 8 20 17 10 25 6 28 4 21 19 12 21 21 26 5 22 18 12 13 20 10 6 27 22 20 24 18 19 4 18 16 18 25 23 22 6 16 16 16 26 20 21 16 22 16 13 25 24 24 6 20 16 17 25 22 25 6 20 18 17 22 21 21 4
Names of X columns:
I1 I2 I3 E1 E2 E3 AM
Sample Range:
(leave blank to include all observations)
From:
To:
Color
grey
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
no
yes
Chart options
Title:
Label y-axis:
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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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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