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Data X:
10 10 21 8 9 22 8 12 17 9 14 21 5 6 19 10 13 23 8 12 21 9 13 22 8 6 11 7 12 20 10 10 18 10 9 16 9 12 18 4 7 13 4 10 17 8 11 20 9 15 20 10 10 15 8 12 18 5 10 15 10 12 19 8 11 19 7 11 19 8 12 20 8 15 20 9 12 16 8 11 18 6 9 17 8 11 18 8 11 13 5 9 20 9 15 21 8 12 17 8 9 19 8 12 20 6 12 15 6 9 15 9 9 19 8 11 18 9 12 22 10 12 20 8 12 18 8 12 14 7 6 15 7 11 17 10 12 16 8 9 17 7 11 15 10 9 17 7 10 18 7 10 16 9 9 18 9 12 22 8 11 16 6 9 16 8 9 20 9 12 18 2 6 16 6 10 16 8 12 20 8 11 21 7 14 18 8 8 15 6 9 18 10 10 18 10 10 20 10 10 18 8 11 16 8 10 19 7 12 20 10 14 22 5 10 18 3 8 8 2 8 13 3 7 13 4 11 18 2 6 12 6 9 16 8 12 21 8 12 20 5 12 18 10 9 22 9 15 23 8 15 23 9 13 21 8 9 16 5 12 14 7 9 18 9 15 22 8 11 20 4 11 18 7 6 12 8 14 17 7 11 15 7 8 18 9 10 18 6 10 15 7 9 16 4 8 15 6 9 16 10 10 19 9 11 19 10 14 23 8 12 20 4 9 18 8 13 21 5 8 19 8 12 18 9 14 19 8 9 17 4 10 21 8 12 19 10 12 24 6 9 12 7 9 15 10 12 18 9 15 19 8 12 22 3 11 19 8 8 16 7 11 19 7 11 18 8 10 18 8 12 19 7 9 21 7 11 19 9 15 22 9 14 23 9 6 17 4 9 18 6 9 19 6 8 15 6 7 14 8 10 18 3 6 17 8 9 19 8 9 16 6 7 14 10 11 20 2 9 16 9 12 18 6 9 16 6 10 21 5 11 16 4 7 14 7 12 16 5 8 19 8 13 19 6 11 19 9 11 18 6 12 16 4 11 14 7 12 19 2 3 11 8 10 18 9 13 18 6 10 16 5 6 20 7 11 18 8 12 20 4 9 16 9 10 18 9 15 19 9 9 19 7 6 15 5 9 17 7 15 21 9 15 24 8 9 16 6 11 13 9 9 21 8 11 16 7 10 17 7 9 17 7 6 18 8 12 18 10 13 23 6 12 20 6 12 20
Names of X columns:
Intention_to_Use Perceived_Usefulness Information_Quality
Sample Range:
(leave blank to include all observations)
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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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Big Analytics Cloud Computing Center
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