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Data X:
57 68 7 51 61 10 30 65 7 61 69 4 56 75 4 50 63 8 67 73 4 41 75 7 45 63 4 37 64 4 49 66 4 40 59 10 60 66 4 63 78 4 34 65 11 69 68 6 32 65 14 67 71 4 57 68 9 42 64 4 64 74 4 58 69 5 66 76 4 61 72 4 52 67 4 51 63 7 52 57 4 72 71 4 33 56 23 66 59 5 51 48 9 52 73 6 66 61 4 51 62 10 53 74 6 58 72 4 58 62 10 46 62 4 67 75 7 59 58 4 64 66 7 63 50 4 43 69 4 38 48 12 45 73 4 54 66 6 37 60 7 46 69 7 51 65 4 56 73 8 65 69 5 47 58 16 57 78 4 22 60 19 59 66 4 52 49 14 54 74 4 62 64 10 53 65 5 36 51 4 62 70 5 59 74 4 55 70 5 49 68 4 62 67 4 52 52 8 52 65 5 53 68 5 45 67 6 53 75 6 45 62 9 65 78 6 51 60 4 49 66 9 62 78 4 52 60 4 50 64 4 53 72 5 53 75 4 58 60 4 58 53 4 46 59 4 64 73 4 44 59 5 69 76 4 59 72 4 57 74 6 67 74 5 43 71 5 41 65 4 64 66 9 50 77 4 55 65 4 41 58 11 77 84 4 60 69 9 56 80 4 43 67 5 54 75 4 56 72 9 62 76 10 67 81 4 53 60 9 49 67 14 56 72 9 33 40 4 51 66 7 42 66 4 51 70 8 64 64 4
Names of X columns:
TMI(BM) TME(BM) TA(BM)
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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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