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Data X:
93.9 101.2 89.8 93.1 93.4 84.2 101.5 85.8 110.4 91.8 105.9 92.4 108.4 80.3 113.9 79.7 86.1 62.5 69.4 57.1 101.2 100.8 100.5 100.7 98.0 86.2 106.6 83.2 90.1 71.7 96.9 77.5 125.9 89.8 112.0 80.3 100.0 78.7 123.9 93.8 79.8 57.6 83.4 60.6 113.6 91.0 112.9 85.3 104.0 77.4 109.9 77.3 99.0 68.3 106.3 69.9 128.9 81.7 111.1 75.1 102.9 69.9 130.0 84.0 87.0 54.3 87.5 60.0 117.6 89.9 103.4 77.0 110.8 85.3 112.6 77.6 102.5 69.2 112.4 75.5 135.6 85.7 105.1 72.2 127.7 79.9 137.0 85.3 91.0 52.2 90.5 61.2 122.4 82.4 123.3 85.4 124.3 78.2 120.0 70.2 118.1 70.2 119.0 69.3 142.7 77.5 123.6 66.1 129.6 69.0 151.6 79.2 110.4 56.2 99.3 64.5 129.1 77.4 134.1 88.5
Names of X columns:
Inv.g Duurzaam.g
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Omit all rows with missing values?
no
yes
Chart options
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Label x-axis:
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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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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