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Data X:
'bach' 1 1 6 6 3.2 1 1 0 0 0 3.2 6 3.2 'bach' 0 0 7 7 3.3 0 0 1 0 1 3.3 7 3.3 'bach' 0 0 2 2 3 1 0 1 1 1 3 2 3 'bach' 0 0 11 11 3.5 0 0 1 0 1 3.5 11 3.5 'bach' 0 0 13 13 3.7 1 0 1 0 0 3.7 13 3.7 'bach' 1 1 3 3 2.7 0 1 0 0 0 2.7 3 2.7 'bach' 0 0 17 17 3.6 1 0 1 1 1 3.6 17 3.6 'bach' 0 0 10 10 3.5 0 0 1 0 1 3.5 10 3.5 'bach' 1 1 4 4 3.8 1 1 0 0 0 3.8 4 3.8 'bach' 0 0 12 12 3.4 0 0 1 0 0 3.4 12 3.4 'scha' 0 0 7 7 3.7 1 0 0 0 1 3.7 7 3.7 'scha' 0 0 11 11 3.5 0 0 1 0 0 3.5 11 3.5 'scha' 0 0 3 3 2.8 1 0 0 1 0 2.8 3 2.8 'scha' 1 1 5 5 3.8 0 1 0 1 0 3.8 5 3.8 'scha' 0 0 1 1 4.3 1 0 1 0 0 4.3 1 4.3 'scha' 0 0 12 12 3.3 0 0 0 0 1 3.3 12 3.3 'scha' 0 0 18 18 3.6 1 0 0 0 0 3.6 18 3.6 'scha' 1 1 8 8 3.6 0 1 0 1 0 3.6 8 3.6 'scha' 1 1 6 6 3.3 1 1 1 0 0 3.3 6 3.3 'scha' 0 0 1 1 2.8 0 0 0 0 0 2.8 1 2.8
Names of X columns:
Groep Drugs Drugs Numeracy Numeracy Gebgewicht Geslacht Drugs Fruit Sport Alcohol Gebgewicht Numeracy Gebgewicht
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Omit all rows with missing values?
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yes
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R Code
if(par2=='yes') { z <- na.omit(as.data.frame(t(y))) } else { 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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Big Analytics Cloud Computing Center
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