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Data X:
22 36 39 32 40 33 34 39 38 34 39 39 39 36 38 33 31 30 34 39 32 37 37 37 36 35 38 32 29 36 33 36 35 41 34 36 45 37 30 29 33 39 30 37 40 32 34 36 31 43 27 30 33 33 42 28 36 30 33 28 42 39 33 34 21 34 43 29 34 32 32 33 34 27 28 35 30 38 27 40 29 34 40 34 29 26 41 39 33 34 42 39 39 26 35 30 33 34 33 34 44 29 34 41 30 43 30 31 35 33 39 34 34 30 39 23 25 29 39 35 33 40 34 27 36 30 34 27 31 29 35 33 34 32 36 33 40 36 31 34 33 45 28 30 42 22 38 24 35 25 34 26 28 27 35 27 25 35 39 36 25 32 32 35 35 35 41 36 34 37 33 33 32 25 34 35 25 37 38 36 37 35 38 29 36 35 39 31 31 30 40 37 34 36 33 35 32 32 33 34 32 37 28 36 32 39 34 37 36 31 38 40 31 38 36 35 27 38 31 32 28 41 30 28 29 40 29 25 31 28 35 37 42 37 28 40 38 26 34 30 28 32 30 31 26 28 27 34 31 39 35 33 33 43 34 37 30 31 28 31 30 34 29 32 32 27 34 34 34 28 35 32 40 39 34 28 28 39 35 32 31 36 33 31 36 39 30 23 27 25 30 32 25 32 39 36 36 39 31 31 33 32 30 28 31 34 32 28 33 38 43 35 35 32 36 26 42 32 31 28 26 31 38 33 27 38 27 38 31 36 32 31 36 36 36 43 25 37 33 28 32 35 40 34 36 40 36 31 35 41 31 35 31 38 36 37 36 31 37 31 31 26 35 32 36 37 34 33 35 31 38 36 32 28 33 31 34 33 36 36 29 31 35 31 35 36 35 38 28 28 28 34 31 44 36 36 34 32 36 38 28 37 32 36 30 38 37 33 43 26 33 34 36 36 36 36 39 33 35 25 26 35 16 40 14 22 21 38 38 27 40 40 19 29 37 27 26 24 29 26 27 35 39 38 36 37
Names of X columns:
2009 2017
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grey
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Omit all rows with missing values?
no
no
yes
Chart options
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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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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