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Data X:
62 72 11 56 61 6 56 64 9 47 63 4 48 63 4 44 62 9 56 60 10 66 56 4 38 59 5 34 68 4 55 73 4 49 72 4 59 71 6 58 64 7 56 68 7 54 73 4 52 62 8 48 60 5 58 65 8 26 68 5 55 59 10 50 73 4 60 66 5 56 62 4 63 69 4 61 66 4 55 56 17 66 62 4 64 57 5 40 66 4 46 63 6 58 69 4 50 66 18 54 67 5 61 68 11 80 75 4 56 69 6 47 63 4 50 58 9 39 58 5 35 62 15 60 65 9 62 69 7 63 66 9 53 72 6 38 55 4 50 47 15 48 62 9 47 64 4 66 64 4 44 70 4 50 74 6 55 78 4 64 78 12 47 63 17 62 71 5 67 80 4 50 84 4 57 64 4 47 59 7 50 67 7 56 74 4 53 72 9 42 55 5 44 53 16 50 57 6 76 80 4 66 67 4 47 75 4 58 69 4 60 65 4 57 71 8 45 65 15 60 59 8 67 72 4 47 73 4 41 65 5 34 57 4 44 59 4 60 63 6 53 73 6 53 55 8 51 64 9 58 68 4 62 71 4 66 80 9 50 74 4 58 69 4 59 73 4 52 76 4 71 78 5 58 67 7 67 70 5 64 66 5 38 64 4 47 57 6 51 66 7 58 70 6 59 72 4 59 67 4 58 72 4 58 63 4 62 58 7 54 71 4 65 75 4 66 79 4 76 79 4 72 70 9 69 73 5 51 74 7 67 50 4 58 77 6
Names of X columns:
TMI(BF) TME(BF) TA(BF)
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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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0 seconds
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Big Analytics Cloud Computing Center
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