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Data X:
2849.27 2718 2921.44 2656.25 2981.85 2601.75 3080.58 2615.75 3106.22 2639 3119.31 2661.5 3061.26 2675.5 3097.31 2838.25 3161.69 2836.5 3257.16 2862.75 3277.01 2991 3295.32 3143.5 3363.99 3257.75 3494.17 3453 3667.03 3636 3813.06 3732.75 3917.96 3721.5 3895.51 4001.25 3801.06 4266 3570.12 3792 3701.61 4012.5 3862.27 3959.75 3970.1 3784.25 4138.52 3738.5 4199.75 3912 4290.89 3826.25 4443.91 3894.75 4502.64 4087 4356.98 3982 4591.27 4042.75 4696.96 3984.25 4621.4 3928.25 4562.84 3898.5 4202.52 3920.75 4296.49 4109.5 4435.23 4258 4105.18 4424 4116.68 4436.25 3844.49 4848.5 3720.98 5037 3674.4 5027 3857.62 4646 3801.06 4610.25 3504.37 4597.75 3032.6 4794.5 3047.03 4519.75 2962.34 4620.75 2197.82 4911 2014.45 4798.75 1862.83 4912.5 1905.41 5207.5 1810.99 5898.75 1670.07 5734.25 1864.44 5453.5 2052.02 5482 2029.6 5444.25 2070.83 5345.75 2293.41 5366.75 2443.27 5513 2513.17 5670
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Omit all rows with missing values?
no
yes
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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