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Data X:
80.44 80.9 81.03 81.6 81.56 82.08 83.44 83.55 82.63 82.43 82.42 82.48 82.51 83.23 83.41 83.88 83.96 84.32 85.82 85.72 84.36 84.36 84.36 85.08 84.95 85.62 86.22 86.4 86.71 87.51 89.22 89.43 88.24 88.9 88.78 89.25 88.8 89.46 89.66 90.29 90.08 90.42 92.14 92.09 91.35 91.22 90.99 91.48 90.98 91.52 91.62 92.12 92.26 92.18 94.12 93.82 93.2 93.34 93.11 93.63 93.29 93.69 94.19 94.82 94.52 94.94 96.87 96.6 95.43 95.56 95.37 96 95.6 96.17 96.26 97.2 97.23 97.74 99.37 99.37 98.22 98.27 97.98 98.53 97.98 98.63 98.74 99.37 99.51 99.66 101.62 101.71 100.49 100.81 100.48 101.01 100.62 101.12 101.45 101.34 101.39 101.93 102.42 102.18 102.72 102.43 102.35 102.69
Names of X columns:
A
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Omit all rows with missing values?
no
yes
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R Code
par1 <- 'grey' 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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