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Data X:
106.9 101.2 107.1 93.1 99.3 84.2 99.2 85.8 108.3 91.8 105.6 92.4 99.5 80.3 107.4 79.7 93.1 62.5 88.1 57.1 110.7 100.8 113.1 100.7 99.6 86.2 93.6 83.2 98.6 71.7 99.6 77.5 114.3 89.8 107.8 80.3 101.2 78.7 112.5 93.8 100.5 57.6 93.9 60.6 116.2 91.0 112.0 85.3 106.4 77.4 95.7 77.3 96.0 68.3 95.8 69.9 103.0 81.7 102.2 75.1 98.4 69.9 111.4 84.0 86.6 54.3 91.3 60.0 107.9 89.9 101.8 77.0 104.4 85.3 93.4 77.6 100.1 69.2 98.5 75.5 112.9 85.7 101.4 72.2 107.1 79.9 110.8 85.3 90.3 52.2 95.5 61.2 111.4 82.4 113.0 85.4 107.5 78.2 95.9 70.2 106.3 70.2 105.2 69.3 117.2 77.5 106.9 66.1 108.2 69.0 113.0 79.2 97.2 56.2 100.2 64.5 109.7 77.4 119.1 88.5
Names of X columns:
Interm Duurz
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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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