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Browser Blue - Charts White
Browser Black/White
CSV
Data X:
1.5 1.8 7.5 2.1 2.1 6 2.1 2.2 6.5 1.9 2.3 1 1.6 2.1 1 2.1 2.7 5.5 2.1 2.1 8.5 2.2 2.4 6.5 1.5 2.9 4.5 1.9 2.2 2 2.2 2.1 5 1.6 2.2 0.5 1.5 2.2 5 1.9 2.7 5 0.1 1.9 2.5 2.2 2 5 1.8 2.5 5.5 1.6 2.2 3.5 2.2 2.3 3 2.1 1.9 4 1.9 2.1 0.5 1.6 3.5 6.5 1.9 2.1 4.5 2.2 2.3 7.5 1.8 2.3 5.5 2.4 2.2 4 2.4 3.5 7.5 2.5 1.9 7 1.9 1.9 4 2.1 1.9 5.5 1.9 1.9 2.5 2.1 2.1 5.5 1.5 2 3.5 1.9 3.2 2.5 2.1 2.3 4.5 1.5 2.5 4.5 2.1 1.8 4.5 2.1 2.4 6 1.8 2.8 2.5 2.4 2.3 5 2.1 2 0 1.9 2.5 5 2.1 2.3 6.5 1.9 1.8 5 2.4 1.9 6 2.1 2.6 4.5 2.2 2 5.5 2.2 2.6 1 1.8 1.6 7.5 2.1 2.2 6 2.4 2.1 5 2.2 1.8 1 2.1 1.8 5 1.5 1.9 6.5 1.9 2.4 7 1.8 1.9 4.5 1.8 2 0 1.6 2.1 8.5 1.2 1.7 3.5 1.8 1.9 7.5 1.5 2.1 3.5 2.1 2.4 6 2.4 1.8 1.5 2.4 2.3 9 1.5 2.1 3.5 1.8 2 3.5 2.1 2.8 4 2.2 2 6.5 2.1 2.7 7.5 1.9 2.1 6 2.1 2.9 5 1.9 2 5.5 1.6 1.8 3.5 2.4 2.6 7.5 1.9 2.1 6.5 2.1 2.3 6.5 1.8 2.2 6.5 2.1 2 7 2.4 2.2 3.5 2.1 2.1 1.5 2.2 2.1 4 2.1 1.9 7.5 2.2 2 4.5 1.6 1.7 0 2.4 2.2 3.5 2.1 2.2 5.5 1.9 2.3 5 2.4 2.4 4.5 2.1 2.1 2.5 1.8 1.9 7.5 2.1 1.7 7 1.8 1.8 0 1.9 1.5 4.5 1.9 1.9 3 2.4 1.9 1.5 1.8 1.7 3.5 1.8 1.9 2.5 2.1 1.9 5.5 2.1 1.8 8 2.4 2.4 1 1.9 1.8 5 1.8 1.9 4.5 1.8 1.8 3 2.2 2.1 3 2.4 1.9 8 1.8 2.2 2.5 2.4 2 7 1.8 1.7 0 1.9 1.7 1 2.4 1.8 3.5 2.1 1.9 5.5 1.9 1.8 5.5 2.1 1 0.5 2.7 1 7.5 2.1 4 9 2.1 4 9.5 2.1 3 8.5 2.1 2 7 2.1 4 8 2.1 4 10 2.1 4 7 2.1 2 8.5 2.4 4 9 1.95 1 9.5 2.1 3 4 2.1 3 6 1.95 4 8 2.1 3 5.5 2.4 4 9.5 2.1 3 7.5 2.25 3 7 2.4 4 7.5 2.25 3 8 2.55 3 7 1.95 2 7 2.4 2 6 2.1 3 10 2.1 1 2.5 2.4 4 9 2.1 3 8 2.1 2 6 2.25 4 8.5 2.25 4 6 2.4 4 9 2.1 4 8 2.4 4 9 2.1 3 5.5 2.1 3 7 2.25 4 5.5 2.25 4 9 2.4 4 2 2.25 3 8.5 2.25 4 9 2.1 4 8.5 2.1 2 9 2.1 2 7.5 2.7 4 10 2.1 3 9 2.1 3 7.5 2.25 2 6 2.7 3 10.5 2.4 2 8.5 2.1 4 8 2.1 1 10 2.4 4 10.5 1.95 1 6.5 2.7 4 9.5 2.1 3 8.5 2.25 3 7.5 2.1 2 5 2.7 3 8 2.1 3 10 2.1 4 7 1.65 4 7.5 1.65 4 7.5 2.1 3 9.5 2.1 3 6 2.1 4 10 2.1 4 7 2.1 1 3 2.4 2 6 2.4 3 7 2.1 4 10 2.25 3 7 2.4 4 3.5 2.1 3 8 2.1 3 10 2.4 3 5.5 2.4 3 6 2.1 1 6.5 2.1 1 6.5 2.4 3 8.5 2.1 2 4 2.7 3 9.5 2.1 2 8 2.1 2 8.5 2.25 4 5.5 2.1 2 7 2.4 2 9 2.25 3 8 2.25 4 10 2.1 2 8 2.1 4 6 2.4 3 8 2.25 4 5 2.1 2 9 2.1 1 4.5 1.65 1 8.5 2.7 4 9.5 2.1 3 8.5 1.95 1 7.5 2.25 4 7.5 2.4 3 5 1.95 2 7 2.1 4 8 2.4 3 5.5 2.1 3 8.5 2.4 4 9.5 2.4 1 7 2.4 3 8 2.25 4 8.5 2.4 1 3.5 2.1 3 6.5 2.1 4 6.5 1.8 4 10.5 2.7 1 8.5 2.1 4 8 2.1 2 10 2.4 3 10 2.55 4 9.5 2.55 4 9 2.1 4 10 2.1 2 7.5 2.1 4 4.5 2.25 2 4.5 2.25 1 0.5 2.1 1 6.5 2.1 4 4.5 1.95 2 5.5 2.4 2 5 2.1 3 6 2.4 2 4 2.4 3 8 2.4 4 10.5 1.95 2 6.5 2.1 3 8 2.1 4 8.5 2.55 3 5.5 2.1 4 7 2.1 4 5 2.1 4 3.5 1.95 2 5 2.25 2 9 2.4 2 8.5 1.95 4 5 2.1 3 9.5 2.1 2 3 1.95 2 1.5 2.1 3 6 2.1 3 0.5 1.95 1 6.5 2.1 2 7.5 1.95 2 4.5 2.4 3 8 2.4 3 9 2.4 2 7.5 1.95 2 8.5 2.7 3 7 2.1 3 9.5 1.95 1 6.5 2.1 3 9.5 1.95 2 6 2.1 2 8 2.25 3 9.5 2.7 3 8 2.1 3 8 2.4 3 9 1.35 1 5
Names of X columns:
PA PR Ex
Sample Range:
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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 <- na.omit(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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