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Data X:
51 26 37 57 67 52 43 52 52 58 43 68 84 43 67 56 49 63 70 57 62 64 56 53 74 29 65 51 58 56 57 35 63 49 53 62 54 41 51 48 58 61 43 41 53 53 54 58 61 46 47 37 39 51 48 56 50 66 30 37 68 59 61 38 67 66 47 34 56 49 50 59 43 40 67 58 57 54 54 34 45 57 56 66 43 26 44 61 66 52 51 51 45 55 42 52 53 56 55 55 49 50 60 54 63 33 56 33 52 47 69 52 32 55 48 41 67 52 58 56 42 56 64 29 58 66 50 73 60 64 56 46 63 43 61 61 16 50 46 51 52 56 59 56 60 53 52 25 44 46 67 50 52 39 55 51 37 62 72 63 51 46 48 67 60 59 50 64 63 48 67 48 46 66 54 55 59 38 61 56 69 54 55 60 73 55 51 56 50 43 51 59 60 46 66 64 55 53 40 48 58 62 51 67 52 50 54 58 66 31 61 71 80 47 56 47 47 43 47 63 58 63 35 50 58 59 60 66 53 53 38 54 50 62 47 53 47 36 63 76
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Omit all rows with missing values?
no
yes
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R Code
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,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of 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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Summary of computational transaction
Raw Input
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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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