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Data X:
4 4 5 5 4 5 4 3 4 5 5 5 4 5 5 4 5 5 4 5 5 4 4 3 5 4 5 5 4 4 4 5 5 4 NA NA 4 5 3 5 4 5 5 3 5 4 5 4 5 5 4 3 5 5 5 4 5 4 5 4 NA 4 5 5 5 5 1 4 5 5 5 5 4 4 4 5 5 4 4 4 4 4 4 4 3 4 5 5 5 5 2 4 3 4 4 4 5 4 NA 4 5 5 5 4 4 4 5 5 5 4 4 4 5 4 5 5 4 4 4 5 4 4 5 4 4 4 5 5 5 5 4 4 3 4 4 4 4 4 5 4 4 4 5 4 3 2 4 5 4 4 3 5 5 5 5 4 3 5 5 5 5 4 4 4 4 4 4 4 5 5 5 4 4 4 5 5 5 5 4 4 4 5 4 4 5 4 4 3 5 4 5 5 4 5 4 4 5 5 5 3 4 5 4 4 5 5 5 3 3 4 4 5 4 5 4 4 5 4 5 4 4 5 4 4 4 5 4 4 4 4 5 4 4 5 4 5 5 5 4 5 4 4 4 5 5 4 5 5 5 5 5 5 5 4 4 4 4 5 5 5 4 4 5 5 5 4 4 5 4 4 4 4 4 3 3 2 4 4 4 4 5 4 5 4 4 5 5 5 4 3 4 4 4 4 5 5 3 4 4 5 4 3 4 5 3 5 4 3 5 5 5 4 5 5 4 5 5 5 5 5 4 4 4 5 5 5 4 4 5 4 4 4 4 4 4 4 4 5
Names of X columns:
ITH2 IK1
Sample Range:
(leave blank to include all observations)
From:
To:
Color
grey
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
no
no
yes
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Label y-axis:
Label x-axis:
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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Computing time
0 seconds
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Big Analytics Cloud Computing Center
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