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Data X:
1257 785 1280 1024 1280 800 1280 1024 1280 800 1280 800 1280 1024 1280 800 1280 800 1280 1024 1280 800 1280 800 1280 768 1280 800 1280 768 1280 800 1280 768 1280 1024 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 1024 1280 800 1280 800 1280 800 1280 800 1280 800 1280 1024 1280 800 1280 800 1280 1024 1280 800 1280 800 1280 800 1280 1024 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 1024 1280 800 1280 800 1280 800 1280 800 1280 800 1280 768 1280 800 1280 800 1280 800 1280 800 1280 800 1366 768 1366 768 1366 768 1366 768 1366 768 1366 768 1366 768 1366 768 1408 880 1408 880 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900 1440 900
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grey
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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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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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