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Browser Blue - Charts White
Browser Black/White
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Data X:
109.20 110.40 88.60 96.40 94.30 101.90 98.30 106.20 86.40 81.00 80.60 94.70 104.10 101.00 108.20 109.40 93.40 102.30 71.90 90.70 94.10 96.20 94.90 96.10 96.40 106.00 91.10 103.10 84.40 102.00 86.40 104.70 88.00 86.00 75.10 92.10 109.70 106.90 103.00 112.60 82.10 101.70 68.00 92.00 96.40 97.40 94.30 97.00 90.00 105.40 88.00 102.70 76.10 98.10 82.50 104.50 81.40 87.40 66.50 89.90 97.20 109.80 94.10 111.70 80.70 98.60 70.50 96.90 87.80 95.10 89.50 97.00 99.60 112.70 84.20 102.90 75.10 97.40 92.00 111.40 80.80 87.40 73.10 96.80 99.80 114.10 90.00 110.30 83.10 103.90 72.40 101.60 78.80 94.60 87.30 95.90 91.00 104.70 80.10 102.80 73.60 98.10 86.40 113.90 74.50 80.90 71.20 95.70 92.40 113.20 81.50 105.90 85.30 108.80 69.90 102.30 84.20 99.00 90.70 100.70 100.30 115.50
Names of X columns:
X1 X2
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Omit all rows with missing values?
no
yes
Chart options
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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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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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