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Data X:
2.86 8.9 2.55 8.6 2.27 8.3 2.26 8.3 2.57 8.3 3.07 8.4 2.76 8.5 2.51 8.4 2.87 8.6 3.14 8.5 3.11 8.5 3.16 8.5 2.47 8.5 2.57 8.5 2.89 8.5 2.63 8.5 2.38 8.5 1.69 8.5 1.96 8.5 2.19 8.5 1.87 8.6 1.60 8.4 1.63 8.1 1.22 8 1.21 8 1.49 8 1.64 8 1.66 7.9 1.77 7.8 1.82 7.8 1.78 7.9 1.28 8.1 1.29 8 1.37 7.6 1.12 7.3 1.51 7 2.24 6.8 2.94 7 3.09 7.1 3.46 7.2 3.64 7.1 4.39 6.9 4.15 6.7 5.21 6.7 5.80 6.6 5.91 6.9 5.39 7.3 5.46 7.5 4.72 7.3 3.14 7.1 2.63 6.9 2.32 7.1 1.93 7.5 0.62 7.7 0.6 7.8 -0.37 7.8 -1.1 7.7 -1.68 7.7 -0.78 7.8 -1.19 7.9
Names of X columns:
Inflatiegraad Werkloosheidsgraad
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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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