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Data X:
21 22 22 18 23 12 20 22 21 19 22 15 20 19 18 15 20 21 21 15 16 23 21 18 25 9 30 20 23 16 16 19 25 18 23 21 10 14 22 26 23 23 24 24 18 23 15 19 16 25 23 17 19 21 18 27 21 13 8 29 28 23 21 19 19 20 18 19 17 19 25 19 22 23 14 16 24 20 12 24 22 12 22 20 10 23 17 22 24 18 21 20 20 22 19 20 26 23 24 21 21 19 8 17 20 11 8 15 18 18 19 19 23 22 21 25 30 17 27 23 23 18 18 23 19 15 20 16 24 25 25 19 19 16 19 19 23 21 22 19 20 20 3 23 23 20 15 16 7 24 17 24 24 19 25 20 28 23 27 18 28 21 19 23 27 22 28 25 21 22 28 20 29 25 25 20 20 16 20 20 23 18 25 18 19 25 25 25 24 19 26 10 17 13 17 30 25 4 16 21 23 22 17 20 20 22 16 23 0 18 25 23 12 18 24 11 18 23 24 29 18 15 29 16 19 22 16 23 23 19 4 20 24 20 4 24 22 16 3 15 24 17 20 27 26 23 17 20 22 19 24 19 23 15 27 26 22 22 18 15 22 27 10 20 17 23 19 13 27 23 16 25 2 26 20 23 22 24
Names of X columns:
NUMERACYTOT
Sample Range:
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Color
grey
grey
white
blue
red
black
brown
yellow
Omit all rows with missing values?
no
no
yes
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
if(par2=='yes') { z <- na.omit(as.data.frame(t(y))) } else { 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,'Boxplot statistics',6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower whisker',1,TRUE) a<-table.element(a,'lower hinge',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper hinge',1,TRUE) a<-table.element(a,'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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