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Data X:
11 14 11 19 15 17 15 17 13 15 14 20 13 15 15 19 NA 15 15 15 10 19 11 NA 16 20 17 18 14 15 13 14 10 20 13 16 17 16 18 16 17 10 11 19 15 19 12 16 15 15 15 18 12 17 19 19 13 17 15 NA 13 19 10 20 NA 5 12 19 15 16 13 15 18 16 15 18 NA 16 14 15 11 17 14 NA 9 20 13 19 13 7 12 13 NA 16 16 16 15 NA 16 18 16 18 13 16 13 17 12 19 11 16 13 19 15 13 13 16 14 13 13 12 15 17 14 17 14 17 13 16 11 16 14 14 17 16 15 13 15 16 13 14 12 20 14 12 11 13 14 18 18 14 15 19 18 18 16 14 12 18 14 19 14 15 14 14 14 17 13 19 12 13 13 19 NA 18 13 20 14 15 15 15 13 15 14 20 17 15 15 19 13 18 14 18 17 15 8 20 15 17 10 12 15 18 15 19 14 20 15 NA 18 17 NA 15 19 16 16 18 17 18 18 14 13 15 10 12 14 17 13 14 12 18 13 17 12 17 13 20 16 16 12 14 14 15 17 18 14 20 12 17 14 17 17 17 13 17 NA 15 14 17 11 18 17 17 15 20 NA 15 15 16 16 15 17 18 NA 11 12 15 15 18 10 20 13 19 17 14 17 16 16 15 15 17 16 18 16 20 15 17 16 18 14 15 17 16 14 11 12 15 15 18 14 17 NA 16 14 12 13 19 16 18 13 15 14 17 13 19 13 18 15 19 13 16 14 16 13 16 12 14
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IVHB ITH
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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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