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Data X:
110.4 109.2 0 96.4 88.6 0 101.9 94.3 0 106.2 98.3 0 81 86.4 0 94.7 80.6 0 101 104.1 0 109.4 108.2 0 102.3 93.4 0 90.7 71.9 0 96.2 94.1 0 96.1 94.9 0 106 96.4 0 103.1 91.1 0 102 84.4 0 104.7 86.4 0 86 88 0 92.1 75.1 0 106.9 109.7 0 112.6 103 0 101.7 82.1 0 92 68 0 97.4 96.4 0 97 94.3 0 105.4 90 0 102.7 88 0 98.1 76.1 0 104.5 82.5 0 87.4 81.4 0 89.9 66.5 0 109.8 97.2 0 111.7 94.1 0 98.6 80.7 0 96.9 70.5 0 95.1 87.8 0 97 89.5 0 112.7 99.6 0 102.9 84.2 0 97.4 75.1 0 111.4 92 0 87.4 80.8 0 96.8 73.1 0 114.1 99.8 0 110.3 90 0 103.9 83.1 0 101.6 72.4 0 94.6 78.8 0 95.9 87.3 0 104.7 91 0 102.8 80.1 0 98.1 73.6 0 113.9 86.4 0 80.9 74.5 0 95.7 71.2 0 113.2 92.4 0 105.9 81.5 0 108.8 85.3 0 102.3 69.9 0 99 84.2 0 100.7 90.7 0 115.5 100.3 0
Names of X columns:
X1 X2 X3
Sample Range:
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grey
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
no
yes
Chart options
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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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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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