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Data X:
36 21 32 22 33 17 39 21 34 19 39 23 36 21 33 22 30 11 39 20 37 18 37 16 35 18 32 13 36 17 36 20 41 20 36 15 37 18 29 15 39 19 37 19 32 19 36 20 43 20 30 16 33 18 28 17 30 18 28 13 39 20 34 21 34 17 29 19 32 20 33 15 27 15 35 19 38 18 40 22 34 20 34 18 26 14 39 15 34 17 39 16 26 17 30 15 34 17 34 18 29 16 41 18 43 22 31 16 33 16 34 20 30 18 23 16 29 16 35 20 40 21 27 18 30 15 27 18 29 18 33 20 32 18 33 16 36 19 34 20 45 22 30 18 22 8 24 13 25 13 26 18 27 12 27 16 35 21 36 20 32 18 35 22 35 23 36 23 37 21 33 16 25 14 35 18 37 22 36 20 35 18 29 12 35 17 31 15 30 18 37 18 36 15 35 16 32 15 34 16 37 19 36 19 39 23 37 20 31 18 40 21 38 19 35 18 38 19 32 17 41 21 28 19 40 24 25 12 28 15 37 18 37 19 40 22 26 19 30 16 32 19 31 18 28 18 34 19 39 21 33 19 43 22 37 23 31 17 31 18 34 19 32 15 27 14 34 18 28 17 32 19 39 16 28 14 39 20 32 16 36 18 31 16 39 21 23 16 25 14 32 16 32 19 36 19 39 19 31 18 32 16 28 14 34 19 28 11 38 18 35 18 32 16 26 20 32 18 28 20 31 16 33 18 38 19 38 19 36 15 31 17 36 21 43 24 37 16 28 13 35 21 34 16 40 17 31 17 41 18 35 18 38 23 37 20 31 20
Names of X columns:
System_Quality Information_Quality
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grey
grey
white
blue
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Omit all rows with missing values?
no
no
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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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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