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Data X:
21 19 18 23 23 23 7 19 19 13 16 16 16 5 27 24 6 25 26 18 8 13 7 10 15 25 28 8 17 17 12 25 23 26 5 18 23 10 22 24 21 4 20 23 13 19 26 20 4 22 21 15 22 20 21 11 18 18 8 24 24 26 5 6 4 4 10 14 15 22 22 27 4 24 28 16 4 15 18 9 23 25 21 4 19 20 10 22 21 25 4 17 15 12 22 19 22 5 22 19 21 26 22 19 4 10 14 6 24 22 24 16 21 14 11 23 21 24 5 21 18 17 26 17 23 4 23 17 10 27 21 22 6 18 20 16 28 23 27 5 20 16 12 21 16 22 4 27 16 12 23 15 24 4 13 11 11 25 24 26 4 20 21 14 23 25 26 7 20 10 11 22 23 28 4 22 18 19 23 19 20 8 20 18 16 22 24 23 7 24 21 21 27 14 24 4 23 16 16 24 20 23 6 19 15 11 24 23 26 5 22 17 12 20 12 20 8 24 15 8 19 22 20 8 21 12 9 23 18 12 4 19 20 14 21 21 21 7 20 20 13 27 23 28 4 16 18 7 19 22 24 13 17 21 17 25 28 24 4 25 22 8 25 20 24 4 16 21 9 24 22 22 4 23 25 15 26 24 26 4 20 12 11 21 19 23 7 23 22 20 22 9 10 5 22 24 13 26 23 27 4 15 17 7 20 23 24 5 16 20 8 21 22 26 12 20 20 20 21 20 18 8 23 19 15 28 23 22 4 24 24 19 24 24 24 4 17 18 17 19 17 16 8 19 15 18 23 19 23 5 25 25 19 25 17 21 4 14 27 5 27 23 28 4 18 17 11 18 19 19 7 22 18 13 26 24 18 5 15 17 8 14 15 27 13 27 24 19 25 22 17 4 22 18 14 23 25 20 4 26 27 24 24 27 24 4 16 18 11 20 23 24 6 25 23 12 19 16 20 4 20 18 9 25 24 24 4 19 21 10 19 22 25 4 19 25 22 23 27 25 4 24 18 18 23 28 26 4 14 19 8 17 23 25 5 18 20 15 24 25 26 6 13 11 10 22 21 14 4 19 22 10 20 22 19 4 25 24 20 23 25 23 4 20 23 17 22 25 25 6 17 16 12 20 19 23 9 17 24 17 23 24 19 5 13 16 10 22 21 23 6 20 16 15 21 18 24 13 20 18 14 22 17 21 4 24 17 8 26 17 21 7 25 21 17 24 26 24 5 19 15 10 28 8 23 4 20 15 16 24 25 22 4 20 19 13 26 22 21 4 22 21 17 20 20 23 6 18 19 16 26 22 25 6 21 19 13 21 17 17 8 20 18 14 26 24 27 6 11 14 6 22 20 28 5 18 17 16 21 19 24 9 22 25 18 25 26 27 6 21 14 16 25 13 22 4 15 19 15 23 20 23 9 23 20 18 27 26 24 4 18 20 20 23 21 24 4 23 20 19 28 24 26 4 19 19 16 24 23 21 5 23 18 11 21 16 23 4 26 22 24 23 24 18 4 19 18 13 21 18 25 4 26 22 17 24 21 24 5 20 19 14 28 17 27 5 20 20 16 11 19 20 8 23 22 18 25 22 25 4 24 22 16 25 23 23 4 26 24 16 28 27 25 9 23 18 9 28 22 24 4 19 21 5 19 22 23 4 25 22 11 25 25 19 4 23 19 10 25 26 25 4 19 18 16 25 22 28 4 27 24 17 28 25 26 4 23 21 15 26 23 24 4 24 21 13 27 8 25 4 20 20 12 24 24 28 4 16 17 12 18 14 23 4 22 20 16 21 17 15 4 26 22 22 23 21 18 4 26 24 19 24 21 24 4 24 24 23 26 25 27 5 20 20 6 25 18 25 8 20 19 19 23 20 24 7 12 20 7 24 25 26 4 21 16 9 20 20 19 4 27 21 16 26 24 23 4 26 22 19 27 22 21 5 17 19 8 21 16 22 5 20 19 15 21 20 23 6 18 13 10 19 21 23 12 28 22 18 25 22 20 5 24 20 19 23 15 20 9 24 21 12 25 21 25 12 24 21 16 26 25 28 4 12 15 12 18 16 19 16 26 23 20 27 28 21 4 23 22 19 23 22 21 5 13 15 10 20 19 25 4 23 20 16 22 17 18 4 16 23 12 22 23 22 6 23 21 15 23 28 21 4 18 18 15 18 19 21 4 25 23 17 25 24 25 5 18 16 13 21 16 20 6 18 18 14 21 19 22 5 21 18 18 28 19 27 6 7 10 4 19 12 23 4 19 17 11 21 16 25 4 21 20 10 23 15 28 7 17 13 7 22 17 25 9 22 25 20 27 23 24 5 15 18 10 23 21 27 5 20 20 18 27 20 19 4 19 18 14 23 19 24 4 10 19 11 21 20 22 12 18 11 12 22 20 23 4 25 17 16 26 23 21 6 23 22 19 23 22 21 9 25 21 18 26 20 20 4 23 19 16 28 24 26 5 21 20 9 28 21 28 4 23 21 15 26 23 23 4 19 22 14 24 22 19 4 22 20 17 23 21 23 4 23 21 14 28 26 18 4 15 15 11 21 16 21 11 23 22 11 28 28 28 4 23 21 19 21 24 22 6 24 28 25 28 28 28 4 20 20 20 24 14 20 5 23 20 15 24 16 23 4 24 23 17 28 22 25 4 17 18 12 21 18 16 6 21 15 10 26 23 23 4 19 19 24 22 18 18 7 23 21 16 25 22 22 9 22 19 9 20 13 21 5 14 16 16 19 20 19 14 19 17 8 23 24 20 4 21 26 11 26 24 27 4 23 20 13 28 25 27 4 16 13 14 24 23 20 5 23 19 12 25 24 26 4 19 21 14 24 22 25 4 19 21 16 25 24 23 9 22 24 19 27 24 24 4 26 23 17 28 24 27 4 22 20 20 23 25 28 10 24 23 11 19 27 26 4 24 24 19 27 27 27 4 11 8 6 15 14 23 6 21 19 16 27 21 28 4 21 18 14 21 17 22 9 22 20 14 26 23 23 5 22 21 16 25 25 27 4 19 16 11 26 20 18 5 18 17 14 24 21 22 14 19 21 16 25 24 23 9 27 27 22 27 27 25 4 14 12 7 14 12 14 4 15 17 17 24 26 21 17 20 17 16 25 22 26 4 22 18 18 23 24 28 5 26 24 22 24 24 22 9 20 18 13 22 20 24 7 13 18 11 16 22 28 4 26 24 19 26 23 24 5 19 18 14 26 22 26 7 20 19 15 19 21 18 10 18 19 15 19 13 19 5 20 24 15 28 21 26 4 21 15 15 24 20 26 8 26 22 19 20 18 12 4 25 17 22 21 19 24 4 20 20 18 26 25 26 6
Names of X columns:
AMS.I1 AMS.I2 AMS.I3 AMS.E1 AMS.E2 AMS.E3 AMS.A
Sample Range:
(leave blank to include all observations)
From:
To:
Color
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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