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Data X:
100.00 100.00 111.86 96.67 94.12 91.06 67.79 89.04 146.04 82.91 125.66 84.05 142.87 91.76 130.03 90.10 110.01 85.98 132.79 99.82 88.24 70.90 91.97 83.87 96.65 99.21 97.15 92.81 90.73 95.35 52.53 89.66 156.91 86.77 144.88 88.26 169.43 101.23 133.38 88.26 131.28 96.32 116.33 100.44 89.15 74.85 85.08 88.08 89.39 100.61 103.09 102.10 85.35 98.95 45.99 89.40 152.82 92.90 130.37 92.29 150.50 104.12 126.97 92.99 123.24 95.79 126.57 102.72 100.26 81.07 91.76 91.32 100.28 98.60 121.65 107.27 97.29 99.30 62.55 87.64 154.99 97.02 147.85 98.86 147.40 96.23 156.80 102.80 126.81 95.62 131.76 101.58 99.21 84.14 87.35 87.47 100.76 102.37 110.57 101.40 76.46 87.12 56.51 82.65 124.95 79.75 118.29 81.68 136.43 90.36 128.62 82.47 100.74 80.46 111.75 90.01 93.43 72.39 83.33 78.09
Names of X columns:
INW TIP
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Omit all rows with missing values?
no
yes
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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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