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Data X:
68 50 54 62 71 65 54 78 73 73 52 75 84 66 42 61 66 69 65 68 72 67 70 76 81 70 71 71 71 64 72 76 68 59 70 63 61 75 60 63 77 64 72 75 69 60 62 61 70 66 58 64 76 59 52 60 59 56 68 78 65 53 67 59 69 66 76 68 63 66 75 71 63 59 60 64 73 73 70 65 66 68 63 76 70 68 61 72 62 67 73 63 64 59 66 51 67 69 71 56 73 55 72 65 66 61 78 56 68 70 62 76 68 59 65 48 60 60 71 60 65 60 64 59 74 62 69 61 73 57 66 63 62 58 69 59 66 66 56 62 67 58 57 60 63 74 67 62 65 69 47 58 76 58 64 68 68 69 64 66 71 62 63 75 60 58 68 66 72 72 70 62 61 64 62 71 71 48 71 66 51 66 73 74 68 78 52 75 59 50 59 70 57 69 79 78 59 59 71 72 66 74 69 80 48 73 73 61 67 32 61 69 68 58 75 59 69 57 55 68 63 68 72 67 62 66 62 81 65 72 72 74 55 64 47 65 64 51 19 80
Names of X columns:
EM EF
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Omit all rows with missing values?
no
yes
Chart options
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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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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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