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Data X:
72.50 110.40 59.40 96.40 85.70 101.90 88.20 106.20 62.80 81.00 87.00 94.70 79.20 101.00 112.00 109.40 79.20 102.30 132.10 90.70 40.10 96.20 69.00 96.10 59.40 106.00 73.80 103.10 57.40 102.00 81.10 104.70 46.60 86.00 41.40 92.10 71.20 106.90 67.90 112.60 72.00 101.70 145.50 92.00 39.70 97.40 51.90 97.00 73.70 105.40 70.90 102.70 60.80 98.10 61.00 104.50 54.50 87.40 39.10 89.90 66.60 109.80 58.50 111.70 59.80 98.60 80.90 96.90 37.30 95.10 44.60 97.00 48.70 112.70 54.00 102.90 49.50 97.40 61.60 111.40 35.00 87.40 35.70 96.80 51.30 114.10 49.00 110.30 41.50 103.90 72.50 101.60 42.10 94.60 44.10 95.90 45.10 104.70 50.30 102.80 40.90 98.10 47.20 113.90 36.90 80.90 40.90 95.70 38.30 113.20 46.30 105.90 28.40 108.80 78.40 102.30 36.80 99.00 50.70 100.70 42.80 115.50
Names of X columns:
X1 X2
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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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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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