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Data X:
1.84 1.89 1.71 1.43 1.28 1.29 1.76 2.78 2.75 3.11 3.03 2.8 2.78 2.04 2.03 1.32 0.93 1.09 1.47 1.99 2.77 2.42 2.05 2.24 2.18 2.11 2.9 2.71 1.45 1.47 1.9 1.87 2.98 2.51 2.41 2.24 2.36 2.18 2.6 1.57 1.38 1.33 1.47 2.41 3.81 3.86 2.58 2.61 2.18 2.03 2.17 1.26 1.3 1.17 1.49 2.09 2.76 2.16 1.95 2.36 2.53 2.23 1.95 1.6 1.33 1.36 1.39 2.25 3.13 2.54 2.17 2.11 2.11 1.88 2.39 1.38 0.97 1.11 1.39 1.94 2.47 1.82 1.99 2.38 2.21 2.13 1.8 1.22 1.02 1.17 1.6 2.12 3 2.23 1.87 2.13
Names of X columns:
Gemiddeldeprijstomaat
Sample Range:
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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
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Big Analytics Cloud Computing Center
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