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Data X:
2.03 0.86 2.86 0.88 2.55 0.88 2.27 0.88 2.26 0.87 2.57 0.88 3.07 0.87 2.76 0.85 2.51 0.84 2.87 0.83 3.14 0.86 3.11 0.87 3.16 0.85 2.47 0.89 2.57 0.98 2.89 1.01 2.63 1 2.38 1.01 1.69 1.05 1.96 1 2.19 0.99 1.87 1.02 1.6 1.11 1.63 1.15 1.22 1.18 1.21 1.2 1.49 1.22 1.64 1.2 1.66 1.23 1.77 1.23 1.82 1.21 1.78 1.25 1.28 1.2 1.29 1.2 1.37 1.21 1.12 1.25 1.51 1.23 2.24 1.2 2.94 1.18 3.09 1.16 3.46 1.12 3.64 1.11 4.39 1.1 4.15 1.08 5.21 1.01 5.8 1.01 5.91 0.99 5.39 1.07 5.46 1.13 4.72 1.09 3.14 0.95 2.63 0.79 2.32 0.73 1.93 0.7 0.62 0.65 0.6 0.61 -0.37 0.53 -1.1 0.51 -1.68 0.41 -0.78 0.42
Names of X columns:
Inflatie Depositorente
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Omit all rows with missing values?
no
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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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