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Data X:
17.78 23.54 17.75 23.44 17.74 23.46 17.71 23.45 17.72 23.41 17.70 23.39 17.62 23.25 17.65 23.22 17.56 23.21 17.50 23.21 17.45 23.16 17.43 23.15 17.39 23.12 17.34 23.22 17.27 23.21 17.16 23.18 17.16 23.18 17.11 23.11 16.95 23.01 16.92 22.98 16.91 22.93 16.81 22.85 16.66 22.58 16.64 22.61 16.58 22.55 16.50 22.51 16.49 22.47 16.42 22.37 16.30 22.21 16.18 21.89 16.15 21.81 16.11 21.75 16.07 21.74 16.08 21.58 16.06 21.48 15.99 21.32 15.99 21.32 15.95 21.16 15.93 21.14 15.94 21.11 15.89 20.98 15.86 20.93 15.75 20.69 15.65 20.60 15.59 20.57 15.55 20.43 15.54 20.44 15.47 20.26 15.41 20.10 15.40 19.97 15.40 19.90 15.36 19.76 15.33 19.70 15.25 19.47 15.13 19.31 14.89 19.35 14.89 19.35 14.84 19.33 14.78 19.30 14.70 19.25 14.68 19.23 14.65 19.24 14.61 19.18 14.62 19.08 14.62 19.00 14.58 18.97 14.53 18.94 14.48 18.91 14.46 18.91 14.44 18.83 14.48 18.84 14.39 18.73 14.33 18.72 14.32 18.72 14.29 18.69
Names of X columns:
Pepersteak Gebakken_tong/forel
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Omit all rows with missing values?
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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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Big Analytics Cloud Computing Center
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