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Data X:
10 11 11 13 7 12 11 12 12 12 11 12 10 12 10 15 12 15 13 12 12 9 12 8 10 11 14 14 11 11 11 10 8 12 10 12 8 10 9 12 15 13 11 12 12 9 14 10 14 12 15 9 14 10 11 11 12 11 10 13 8 9 9 15 8 13 10 13 15 10 9 12 12 12 12 10 9 12 12 12 8 11 10 15 13 11 12 11 11 14 14 14 12 10 12 11 15 9 11 14 10 12 10 12 13 13 12 12 9 10 7 12 12 12 13 12 15 8 7 9 11 11 6 6 8 11 12 13 9 10 9 10 12 7 13 10 10 11 8 12 4 13 13 10 12 6 8 13 12 10 10 10 8 11 12 12 12 11 12 10 12 13 10 7 11 10 12 11 10 12 11 14 12 12 10 11 12 12 12 8 11 8 6 13 11 9 11 14 9 13 12 12 11 9 7 10 12 11 11 11 13 11 8 11 10 12 8 13 10 11 11 8 13 12 9 15 12 14 7 11 10 7 11 11 10 9 11 12 10 13 10 10 12 12 12 12 12 12 7 14 9 8 13 6 12 8 6 6 12 10 9 11 14 6 9 11 9 8 6 10 6 9 12 12 13 12 12 10 9 12 14 6 13 12 13 6 12 10 9 12 7 10 11 15 10 12 10 12 11 11 12 15 12 11 9 11 11 9 15 12 9 12 12 9 9 11 12 12 12 12 6 11 12 9 11 9 10 10 9 12 11 9 9 12 6 10 12 11 14 8 9 10 10 10 11 10 12 14 10 8 8 7 11 6 9 12 12 12 9 15 15 13 9 12 9 15 11 11 6 14 11 8 10 10 9 8 9 10 11 14 12 9 13 8 12 14 9 10 12 12 9 9 12 15 12 11 8 11 11 10 12 9 11 15 14 6 9 9 8 7 10 6 9 9 7 11 9 12 9 10 11 7 12 8 13 11 11 12 11 12 3 10 13 10 6 11 12 9 10 15 9 6 9 15 15 9 11 9 11 10 9 6 12 13 12 12
Names of X columns:
a
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Omit all rows with missing values?
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yes
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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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