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Data X:
17 15 11 13 12 14 12 13 13 12 17 17 17 12 12 13 16 13 15 16 11 12 16 12 15 13 16 16 15 15 11 12 8 13 10 20 14 15 16 12 15 15 15 11 12 13 18 13 10 14 17 14 12 14 13 15 9 16 11 16 10 16 15 13 15 13 13 14 13 13 9 14 14 12 14 17 11 14 15 15 12 13 11 14 12 15 15 19 13 14 11 13 10 12 16 14 13 15 15 15 14 12 12 14 10 11 12 12 9 10 15 13 16 14 12 14 11 15 11 15 9 13 13 15 17 16 18 12 15 17 12 15 18 18 11 12 6 16 10 15 19 15 16 12 12 13 10 10 14 14 12 11 13 12 16 14 18 12 13 14 15 12 16 13 9 13 9 14 8 12 18 15 18 13 14 13 8 11 14 12 13 16 14 11 7 13 18 12 16 17 9 14 11 15 10 8 13 13 10 13 12 15 11 14 12 13 12 14 10 12 20 19 12 15 12 14 16 14 11 15 12 13 12 15 13 14 10 11 14 17 13 13 15 9 13 12 13 13 17 17 12 14 17 13 9 16 12 14 14 14 14 14 14 10 12 12 14 13 13 14 15 18 16 14 13 14 14 13 14 13 17 16 13 15 15 13 8 14 11 8 11 13 9 13 15 16 16 14 16 13 10 14 15 12 10 16 12 18 14 16 18 15 15 18 19 15 13 14 10 14 15 15 7 9 14 17 13 11 14 15 11 15 18 15 8 13 19 14 5 15 17 15 14 14 17 13
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ECSUM EPSUM
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R Code
if(par2=='yes') { z <- na.omit(as.data.frame(t(y))) } else { 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,'Boxplot statistics',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower whisker',1,TRUE) a<-table.element(a,'lower hinge',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper hinge',1,TRUE) a<-table.element(a,'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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