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Data X:
99 100.5 98.6 100.5 98.6 100.7 98.5 101.1 98.9 101.5 99.4 101.9 99.8 102.1 99.9 102.1 100 102.1 100.1 102.4 100.1 102.8 100.2 103.1 100.3 103.1 100 102.9 99.9 102.4 99.4 101.9 99.8 101.3 99.6 100.7 100 100.6 99.9 101 100.3 101.5 100.6 101.9 100.7 102.1 100.8 102.3 100.8 102.5 100.6 102.9 101.1 103.6 101.1 104.3 100.9 104.8 101.1 105.2 101.2 105.7 101.4 106.1 101.9 106.4 102.1 106.3 102.1 106.3 103 106.5 103.4 107.1 103.2 107.7 103.1 108.3 103 109 103.7 109.3 103.4 109.6 103.5 109.7 103.8 109.7 104 109.5 104.2 109.3 104.4 109 104.4 108.8 104.9 108.8 105.3 108.8 105.2 108.7 105.4 108.3 105.4 107.8 105.5 107.2 105.7 106.4 105.6 105.7 105.8 105.3 105.4 105 105.5 104.6 105.8 104 106.1 103 106 101.6 105.5 100.2 105.4 99 106 98.1 106.1 97.4 106.4 96.9 106 96.3 106 95.9 106 95.7 106 95.5 106.1 95.3 106.1
Names of X columns:
afzetprijs iprod
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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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0 seconds
R Server
Big Analytics Cloud Computing Center
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