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Browser Blue - Charts White
Browser Black/White
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Data X:
99.90 72.50 99.80 59.40 99.80 85.70 100.30 88.20 99.90 62.80 99.90 87.00 100.00 79.20 100.10 112.00 100.10 79.20 100.20 132.10 100.30 40.10 100.60 69.00 100.00 59.40 100.10 73.80 100.20 57.40 100.00 81.10 100.10 46.60 100.10 41.40 100.10 71.20 100.50 67.90 100.50 72.00 100.50 145.50 96.30 39.70 96.30 51.90 96.80 73.70 96.80 70.90 96.90 60.80 96.80 61.00 96.80 54.50 96.80 39.10 96.80 66.60 97.00 58.50 97.00 59.80 97.00 80.90 96.80 37.30 96.90 44.60 97.20 48.70 97.30 54.00 97.30 49.50 97.20 61.60 97.30 35.00 97.30 35.70 97.30 51.30 97.30 49.00 97.30 41.50 97.30 72.50 98.10 42.10 96.80 44.10 96.80 45.10 96.80 50.30 96.80 40.90 96.80 47.20 96.80 36.90 96.80 40.90 96.80 38.30 96.80 46.30 96.80 28.40 96.80 78.40 96.90 36.80 97.10 50.70 97.10 42.80
Names of X columns:
Afzetprijsindex Investments
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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
R Server
Big Analytics Cloud Computing Center
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