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Data X:
0.61 1.03 9.3 0.62 1.02 14.2 0.61 1.02 17.3 0.63 1.02 23 0.63 1.02 16.3 0.58 1.03 18.4 0.55 1.03 14.2 0.54 1.03 9.1 0.54 1.04 5.9 0.49 1.04 7.2 0.52 1.04 6.8 0.53 1.04 8 0.56 1.04 14.3 0.56 1.04 14.6 0.58 1.04 17.5 0.6 1.04 17.2 0.59 1.04 17.2 0.61 1.05 14.1 0.63 1.05 10.4 0.69 1.04 6.8 0.68 1.04 4.1 0.7 1.04 6.5 0.7 1.05 6.1 0.76 1.05 6.3 0.78 1.05 9.3 0.89 1.06 16.4 0.94 1.06 16.1 0.95 1.07 18 0.83 1.06 17.6 0.81 1.07 14 0.73 1.07 10.5 0.64 1.07 6.9 0.51 1.07 2.8 0.5 1.07 0.7 0.47 1.07 3.6 0.43 1.07 6.7 0.47 1.07 12.5 0.48 1.08 14.4 0.52 1.07 16.5 0.5 1.07 18.7 0.55 1.08 19.4 0.52 1.08 15.8 0.52 1.08 11.3 0.55 1.08 9.7 0.54 1.08 2.9 0.59 1.08 0.1 0.56 1.08 2.5 0.61 1.09 6.7 0.66 1.09 10.3 0.68 1.08 11.2 0.66 1.08 17.4 0.64 1.08 20.5 0.65 1.08 17
Names of X columns:
Olie<2000 Houtskool GemTemp
Sample Range:
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Color
grey
grey
white
blue
red
black
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yellow
Omit all rows with missing values?
no
yes
Chart options
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Label y-axis:
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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0 seconds
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Big Analytics Cloud Computing Center
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