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Browser Blue - Charts White
Browser Black/White
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Data X:
109.20 72.50 88.60 59.40 94.30 85.70 98.30 88.20 86.40 62.80 80.60 87.00 104.10 79.20 108.20 112.00 93.40 79.20 71.90 132.10 94.10 40.10 94.90 69.00 96.40 59.40 91.10 73.80 84.40 57.40 86.40 81.10 88.00 46.60 75.10 41.40 109.70 71.20 103.00 67.90 82.10 72.00 68.00 145.50 96.40 39.70 94.30 51.90 90.00 73.70 88.00 70.90 76.10 60.80 82.50 61.00 81.40 54.50 66.50 39.10 97.20 66.60 94.10 58.50 80.70 59.80 70.50 80.90 87.80 37.30 89.50 44.60 99.60 48.70 84.20 54.00 75.10 49.50 92.00 61.60 80.80 35.00 73.10 35.70 99.80 51.30 90.00 49.00 83.10 41.50 72.40 72.50 78.80 42.10 87.30 44.10 91.00 45.10 80.10 50.30 73.60 40.90 86.40 47.20 74.50 36.90 71.20 40.90 92.40 38.30 81.50 46.30 85.30 28.40 69.90 78.40 84.20 36.80 90.70 50.70 100.30 42.80
Names of X columns:
Kleding Investments
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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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