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Data X:
7.1 0.8833 7.7 0.87 8.2 0.8758 9.2 0.8858 10.2 0.917 10.5 0.9554 10.8 0.9922 10.8 0.9778 11.1 0.9808 11 0.9811 11.1 1.0014 10.2 1.0183 9.6 1.0622 9.3 1.0773 8.9 1.0807 8.8 1.0848 8.9 1.1582 9 1.1663 8.9 1.1372 8.8 1.1139 9 1.1222 8.8 1.1692 8.8 1.1702 9.7 1.2286 9.8 1.2613 10 1.2646 10.1 1.2262 10.1 1.1985 10 1.2007 9 1.2138 8.8 1.2266 8.4 1.2176 8 1.2218 8.1 1.249 8 1.2991 7.8 1.3408 7.7 1.3119 7.3 1.3014 7.2 1.3201 7.2 1.2938 6.7 1.2694 6.7 1.2165 6.4 1.2037 6.4 1.2292 6.3 1.2256 6 1.2015 5.5 1.1786 4.7 1.1856 3.8 1.2103 3.6 1.1938 2.5 1.202 1.7 1.2271 1.6 1.277 2.2 1.265 2.2 1.2684 2 1.2811 1.9 1.2727 1.6 1.2611 1.9 1.2881 2.6 1.3213
Names of X columns:
HDB EURODOL
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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
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Big Analytics Cloud Computing Center
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