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Data X:
1673 2194 2709 1955 2499 2875 2899 3127 3266 3529 1724 2236 2785 1972 2572 2976 2963 3214 3410 3649 1755 2267 2820 1980 2616 3044 3065 3130 3473 3748 1857 2325 2861 2084 2653 3017 3077 3133 3375 3802 1884 2367 2935 2112 2718 3106 3178 3222 3462 3953 1952 2426 3004 2160 2766 3261 3310 3346 3681 4060 1920 2483 3112 2161 2839 3356 3400 3450 3789 4164 1964 2535 3176 2198 2868 3408 3466 3597 3876 4224 2020 2631 3288 2270 2977 3493 3585 3694 4036 4378 2036 2657 3352 2295 3015 3576 3692 3791 4086 4475 2073 2676 3358 2336 3042 3636 3721 3808 4116 4567
Names of X columns:
M<20 M25-29 M35-39 M20-24 M30-34 M40-44 M45-49 M50-54 M55-59 M>=_60
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Omit all rows with missing values?
no
yes
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R Code
z <- na.omit(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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Summary of computational transaction
Raw Input
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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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