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Data X:
130.7 125.9 117.2 133.1 110.8 147 111.4 145.8 108.2 164.4 108.8 149.8 110.2 137.7 109.5 151.7 109.5 156.8 116 180 111.2 180.4 112.1 170.4 114 191.6 119.1 199.5 114.1 218.2 115.1 217.5 115.4 205 110.8 194 116 199.3 119.2 219.3 126.5 211.1 127.8 215.2 131.3 240.2 140.3 242.2 137.3 240.7 143 255.4 134.5 253 139.9 218.2 159.3 203.7 170.4 205.6 175 215.6 175.8 188.5 180.9 202.9 180.3 214 169.6 230.3 172.3 230 184.8 241 177.7 259.6 184.6 247.8 211.4 270.3 215.3 289.7 215.9 322.7 244.7 315 259.3 320.2 289 329.5 310.9 360.6 321 382.2 315.1 435.4 333.2 464 314.1 468.8 284.7 403 273.9 351.6 216 252 196.4 188 190.9 146.5 206.4 152.9 196.3 148.1 199.5 165.1 198.9 177 214.4 206.1
Names of X columns:
Graan Aardolie
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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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