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Data X:
3.9 5.9 5.7 3.6 4.9 5.3 8.7 6.8 8.9 9.6 11.2 9.9 9.3 9.2 9.4 12.7 13.6 16.1 14.8 14.1 13.2 8.7 4.9 -1.3 -3.9 -6 -6.6 -8.7 -11.6 -14.6 -12.9 -13.8 -14.1 -13.2 -10.4 -3.3 1 3.1 4.5 1.9 3.9 7 5.6 8.1 6.1 8 6.5 5.6 4.8 5.1 7.8 10.3 8.6 6.8 4.9 5.4 5.5 4.7 4.2 5 5 6 2.9 3.6 5.1 2.9 4.7 3 5 2.6 3.2 2.4 3.2 2.6 2.4 2.1 2.7 4.4 4.3 4.2 5.5 8.8 10.1 7 5.7 5.2 5.5 7.3 5.9 7.1 6.9 6.7 4.7 6.7 8.5 2.1 -0.9 -4.7 4.8 2.6 1.7 -1.8 0.2 1.9 3.2 3.1 4.2 16.2 18.3 21.6 12.6 9.8 10.6 13 9.7 7.9 3.3 3.4 0.4
Names of X columns:
Procentuele_verandering
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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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