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Data X:
10 10 8 9 8 12 9 14 5 6 10 13 8 12 9 13 8 6 7 12 10 10 10 9 9 12 4 7 4 10 8 11 9 15 10 10 8 12 5 10 10 12 8 11 7 11 8 12 8 15 9 12 8 11 6 9 8 11 8 11 5 9 9 15 8 12 8 9 8 12 6 12 6 9 9 9 8 11 9 12 10 12 8 12 8 12 7 6 7 11 10 12 8 9 7 11 10 9 7 10 7 10 9 9 9 12 8 11 6 9 8 9 9 12 2 6 6 10 8 12 8 11 7 14 8 8 6 9 10 10 10 10 10 10 8 11 8 10 7 12 10 14 5 10 3 8 2 8 3 7 4 11 2 6 6 9 8 12 8 12 5 12 10 9 9 15 8 15 9 13 8 9 5 12 7 9 9 15 8 11 4 11 7 6 8 14 7 11 7 8 9 10 6 10 7 9 4 8 6 9 10 10 9 11 10 14 8 12 4 9 8 13 5 8 8 12 9 14 8 9 4 10 8 12 10 12 6 9 7 9 10 12 9 15 8 12 3 11 8 8 7 11 7 11 8 10 8 12 7 9 7 11 9 15 9 14 9 6 4 9 6 9 6 8 6 7 8 10 3 6 8 9 8 9 6 7 10 11 2 9 9 12 6 9 6 10 5 11 4 7 7 12 5 8 8 13 6 11 9 11 6 12 4 11 7 12 2 3 8 10 9 13 6 10 5 6 7 11 8 12 4 9 9 10 9 15 9 9 7 6 5 9 7 15 9 15 8 9 6 11 9 9 8 11 7 10 7 9 7 6 8 12 10 13 6 12 6 12
Names of X columns:
Intention_to_Use Perceived_Usefulness
Sample Range:
(leave blank to include all observations)
From:
To:
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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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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