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Data X:
0 49 34 41 9 46 39 35 1 45 40 34 4 49 45 36 6 47 43 39 21 45 42 40 24 48 49 30 23 51 43 33 22 48 50 30 21 49 44 32 20 51 40 41 16 54 41 40 18 52 45 41 18 52 45 40 24 53 48 39 16 51 54 34 15 55 47 34 24 53 35 46 18 51 28 45 15 52 28 44 4 54 34 40 3 58 23 39 6 57 33 37 5 52 38 39 12 50 41 35 12 53 47 26 12 50 46 26 14 50 45 33 12 51 47 27 17 53 49 30 12 49 50 26 20 54 56 27 21 57 50 18 15 58 56 19 22 56 58 13 19 60 59 14 19 55 51 41 26 54 59 21 25 52 60 16 19 55 60 17 20 56 68 9 30 54 62 14 31 53 62 14 35 59 58 16 33 62 56 11 26 63 50 10 25 64 52 6 17 75 36 9 14 77 33 5 8 79 26 7 12 77 28 2 7 82 27 0 4 83 20 8 10 81 16 13 8 78 11 11 16 79 0 19 14 79 3 23 20 73 10 23 9 72 0 43 10 67 3 59
Names of X columns:
1 2 3 4
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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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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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