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Data X:
89.3 88.1 93.6 79.7 83.8 62.3 62.3 77.6 80.3 97 94 75.1 74 77.6 75.1 85 75.4 63.2 64.7 77 82.6 97.6 99 75.3 71.6 76.8 83.9 79.7 77.5 73.1 65.6 85.2 98.3 98 100.6 84.1 76.7 82.4 95.5 79.9 82.4 83.6 73.1 91.1 118.6 102.9 111.8 93.9 91.6 92 91.1 97.5 94.7 96.7 78.7 103.5 113.8 106.1 120.3 114.2 106.3 98.8 113.1 97.7 116.3 107.2 94.5 123.5 126.6 126.5 141.4 124.3 124.9 108.9 126.7 107.7 121.8 118.3 122.8 149.5 147 139.3 162.1 142.2 141.4 124.7 114 126.6 121.9 125.1 122.1 135.9 148.4 137.5 145.3 139.9 128.2 115.4 124.7 111.5 121.1 122.5 127.4 143.7 157.8 148.8 162.9 153.9
Names of X columns:
Price
Sample Range:
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Color
grey
grey
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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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0 seconds
R Server
Big Analytics Cloud Computing Center
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