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Data X:
1257 700 1280 735 1280 735 1280 737 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 768 1280 785 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 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1280 800 1366 800 1366 800 1366 800 1366 800 1366 800 1366 800 1366 800 1366 800 1408 800 1408 800 1440 800 1440 800 1440 800 1440 800 1440 800 1440 800 1440 800 1440 800 1440 800 1440 800 1440 800 1440 800 1440 845 1440 857 1440 864 1440 864 1440 880 1440 880 1440 1440 1440
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Omit all rows with missing values?
no
yes
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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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