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Data X:
68 63 4 51 61 4 56 60 6 44 68 8 67 77 4 54 69 8 61 65 5 52 64 4 46 63 4 52 63 4 76 79 4 30 74 4 50 73 8 55 76 7 18 55 4 42 76 5 66 61 4 66 61 4 33 55 4 57 68 4 58 65 4 59 54 15 37 76 4 62 71 4 52 74 7 53 70 4 58 70 6 36 62 16 56 64 6 51 58 9 44 59 4 58 79 5 37 49 4 48 64 5 53 65 4 51 63 4 51 62 4 47 65 6 64 64 4 54 55 18 59 73 4 36 67 5 62 75 4 67 67 10 70 77 5 46 58 8 46 55 8 41 56 5 52 69 4 60 75 5 40 61 14 41 59 8 54 68 8 42 43 4 51 70 6 60 67 4 49 73 7 52 72 7 50 59 6 47 70 4 59 66 8 64 73 4 52 61 10 60 63 6 51 66 4 63 68 4 49 81 4 52 72 5 48 53 4 50 61 6 67 77 4 44 75 7 51 70 8 37 63 8 51 57 10 60 70 8 38 67 5 52 44 12 65 81 4 70 71 4 44 67 6 50 61 7 50 56 8 57 74 11 63 68 8 36 60 6 54 72 7 36 74 5 70 73 8 47 58 4 52 67 5 52 76 6 69 67 4 52 68 6 48 71 16 51 70 6 53 61 6 55 54 4
Names of X columns:
Intr1 Extr1 Dem1
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grey
grey
white
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Omit all rows with missing values?
no
yes
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Title:
Label y-axis:
Label x-axis:
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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