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Data X:
13 14 16 19 17 17 NA 17 NA 15 16 20 NA 15 NA 19 NA 15 17 15 17 19 15 NA 16 20 14 18 16 15 17 14 NA 20 NA NA NA 16 NA 16 16 16 NA 10 16 19 NA 19 NA 16 NA 15 16 18 15 17 16 19 16 17 13 NA 15 19 17 20 NA 5 13 19 17 16 NA 15 14 16 14 18 18 16 NA 15 17 17 13 NA 16 20 15 19 15 7 NA 13 15 16 13 16 NA NA 17 18 NA 18 NA 16 11 17 14 19 13 16 NA 19 17 13 16 16 NA 13 17 12 16 17 16 17 16 17 15 16 12 16 17 14 14 16 14 13 16 16 NA 14 NA 20 NA 12 NA 13 NA 18 15 14 16 19 14 18 15 14 17 18 NA 19 10 15 NA 14 17 17 NA 19 20 13 17 19 18 18 NA 20 17 15 14 15 NA 15 17 20 NA 15 17 19 NA 18 16 18 18 15 18 20 16 17 NA 12 NA 18 15 19 13 20 NA NA NA 17 NA 15 NA 16 NA 18 16 18 NA 14 NA 15 NA 12 12 17 NA 14 16 18 16 17 NA 17 16 20 14 16 15 14 14 15 NA 18 15 20 NA 17 15 17 16 17 NA 17 NA 15 NA 17 11 18 NA 17 18 20 NA 15 11 16 NA 15 18 18 NA 11 15 15 19 18 17 20 NA 19 14 14 NA 16 13 15 17 17 14 18 19 20 14 17 NA 18 NA 15 16 16 16 11 15 15 12 18 NA 17 17 16 NA 12 NA 19 18 18 15 15 18 17 15 19 NA 18 NA 19 NA 16 16 16 NA 16 16 14
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A B
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Color
grey
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
no
no
yes
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R Code
par2 <- 'no' par1 <- 'grey' 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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