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