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Data X:
10 10 9 15 12 14 14 14 6 8 13 19 12 17 13 18 6 10 12 15 10 16 9 12 12 13 7 10 10 14 11 15 15 20 10 9 12 12 10 13 12 16 11 12 11 14 12 15 15 19 12 16 11 16 9 14 11 14 11 14 9 13 15 18 12 15 9 15 12 15 12 13 9 14 9 15 11 14 12 19 12 16 12 16 12 12 6 10 11 11 12 13 9 14 11 11 9 11 10 16 10 9 9 16 12 19 11 13 9 15 9 14 12 15 6 11 10 14 12 15 11 17 14 16 8 13 9 15 10 14 10 15 10 14 11 12 10 12 12 15 14 17 10 13 8 5 8 7 7 10 11 15 6 9 9 9 12 15 12 14 12 11 9 18 15 20 15 20 13 16 9 15 12 14 9 13 15 18 11 14 11 12 6 9 14 19 11 13 8 12 10 14 10 6 9 14 8 11 9 11 10 14 11 12 14 19 12 13 9 14 13 17 8 12 12 16 14 15 9 15 10 15 12 16 12 15 9 12 9 13 12 14 15 17 12 14 11 14 8 14 11 15 11 11 10 11 12 16 9 12 11 12 15 19 14 18 6 16 9 16 9 13 8 11 7 10 10 14 6 14 9 14 9 16 7 10 11 16 9 7 12 16 9 15 10 17 11 11 7 11 12 10 8 13 13 14 11 13 11 13 12 12 11 10 12 15 3 6 10 15 13 15 10 11 6 14 11 14 12 16 9 12 10 15 15 20 9 12 6 9 9 13 15 15 15 19 9 11 11 11 9 17 11 15 10 14 9 15 6 11 12 12 13 15 12 16 12 16
Names of X columns:
Perceived_Usefulness Perceived_Ease_of_Use
Sample Range:
(leave blank to include all observations)
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grey
white
blue
red
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brown
yellow
Omit all rows with missing values?
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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Computing time
0 seconds
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Big Analytics Cloud Computing Center
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