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Data X:
10 10 10 10 21 36 1 0 8 8 9 15 22 32 1 1 8 6 12 14 17 33 1 1 9 10 14 14 21 39 1 1 5 8 6 8 19 34 1 0 10 10 13 19 23 39 1 1 8 7 12 17 21 36 1 1 9 10 13 18 22 33 1 1 8 6 6 10 11 30 1 0 7 7 12 15 20 39 1 0 10 9 10 16 18 37 1 0 10 6 9 12 16 37 1 0 9 7 12 13 18 35 1 1 4 6 7 10 13 32 1 0 4 4 10 14 17 36 1 1 8 6 11 15 20 36 1 1 9 8 15 20 20 41 1 1 10 9 10 9 15 36 1 1 8 8 12 12 18 37 1 0 5 6 10 13 15 29 1 0 10 6 12 16 19 39 1 1 8 10 11 12 19 37 1 0 7 8 11 14 19 32 1 1 8 8 12 15 20 36 1 1 8 7 15 19 20 43 1 1 9 4 12 16 16 30 1 0 8 9 11 16 18 33 1 0 6 8 9 14 17 28 1 1 8 10 11 14 18 30 1 1 8 8 11 14 13 28 1 0 5 6 9 13 20 39 0 1 9 7 15 18 21 34 1 1 8 8 12 15 17 34 1 0 8 5 9 15 19 29 1 0 8 10 12 15 20 32 1 0 6 2 12 13 15 33 1 0 6 6 9 14 15 27 1 0 9 7 9 15 19 35 1 1 8 5 11 14 18 38 1 1 9 8 12 19 22 40 1 1 10 7 12 16 20 34 1 1 8 7 12 16 18 34 0 0 8 10 12 12 14 26 1 0 7 7 6 10 15 39 1 0 7 6 11 11 17 34 1 1 10 10 12 13 16 39 1 1 8 6 9 14 17 26 1 1 7 5 11 11 15 30 1 1 10 8 9 11 17 34 1 1 7 8 10 16 18 34 1 1 7 5 10 9 16 29 1 0 9 8 9 16 18 41 1 0 9 10 12 19 22 43 1 0 8 7 11 13 16 31 1 0 6 7 9 15 16 33 1 0 8 7 9 14 20 34 1 0 9 7 12 15 18 30 1 1 2 2 6 11 16 23 0 0 6 4 10 14 16 29 1 0 8 6 12 15 20 35 1 1 8 7 11 17 21 40 0 1 7 9 14 16 18 27 0 0 8 9 8 13 15 30 1 0 6 4 9 15 18 27 1 0 10 9 10 14 18 29 1 0 10 9 10 15 20 33 1 0 10 8 10 14 18 32 1 0 8 7 11 12 16 33 1 0 8 9 10 12 19 36 1 1 7 7 12 15 20 34 1 1 10 6 14 17 22 45 1 1 5 7 10 13 18 30 0 0 3 2 8 5 8 22 0 1 2 3 8 7 13 24 0 1 3 4 7 10 13 25 0 1 4 5 11 15 18 26 0 1 2 2 6 9 12 27 0 0 6 6 9 9 16 27 0 0 8 8 12 15 21 35 1 0 8 5 12 14 20 36 1 0 5 4 12 11 18 32 0 0 10 10 9 18 22 35 1 1 9 10 15 20 23 35 1 1 8 10 15 20 23 36 1 1 9 9 13 16 21 37 1 1 8 5 9 15 16 33 1 1 5 5 12 14 14 25 1 0 7 7 9 13 18 35 1 1 9 10 15 18 22 37 1 1 8 9 11 14 20 36 1 0 4 8 11 12 18 35 1 1 7 8 6 9 12 29 1 1 8 8 14 19 17 35 1 1 7 8 11 13 15 31 1 0 7 8 8 12 18 30 1 1 9 7 10 14 18 37 1 0 6 6 10 6 15 36 1 1 7 8 9 14 16 35 1 0 4 2 8 11 15 32 1 0 6 5 9 11 16 34 1 1 10 4 10 14 19 37 1 0 9 9 11 12 19 36 1 1 10 10 14 19 23 39 1 1 8 6 12 13 20 37 1 0 4 4 9 14 18 31 0 0 8 10 13 17 21 40 1 1 5 6 8 12 19 38 1 0 8 7 12 16 18 35 0 1 9 7 14 15 19 38 0 1 8 8 9 15 17 32 1 0 4 6 10 15 21 41 1 1 8 5 12 16 19 28 1 0 10 6 12 15 24 40 1 1 6 7 9 12 12 25 1 0 7 6 9 13 15 28 1 0 10 9 12 14 18 37 1 1 9 9 15 17 19 37 1 1 8 7 12 14 22 40 1 1 3 6 11 14 19 26 0 0 8 7 8 14 16 30 1 0 7 7 11 15 19 32 1 0 7 8 11 11 18 31 1 0 8 7 10 11 18 28 1 0 8 8 12 16 19 34 1 1 7 7 9 12 21 39 1 0 7 4 11 12 19 33 0 1 9 10 15 19 22 43 1 0 9 8 14 18 23 37 0 1 9 8 6 16 17 31 1 0 4 2 9 16 18 31 0 1 6 6 9 13 19 34 1 0 6 4 8 11 15 32 1 1 6 4 7 10 14 27 0 0 8 9 10 14 18 34 1 0 3 2 6 14 17 28 0 0 8 6 9 14 19 32 0 0 8 7 9 16 16 39 0 1 6 4 7 10 14 28 0 1 10 10 11 16 20 39 1 0 2 3 9 7 16 32 0 0 9 7 12 16 18 36 0 1 6 4 9 15 16 31 0 1 6 8 10 17 21 39 0 0 5 4 11 11 16 23 0 0 4 5 7 11 14 25 0 0 7 6 12 10 16 32 1 0 5 5 8 13 19 32 0 1 8 9 13 14 19 36 0 1 6 6 11 13 19 39 0 0 9 8 11 13 18 31 0 1 6 4 12 12 16 32 1 0 4 4 11 10 14 28 0 1 7 8 12 15 19 34 0 0 2 4 3 6 11 28 0 1 8 10 10 15 18 38 1 1 9 8 13 15 18 35 1 1 6 5 10 11 16 32 1 0 5 3 6 14 20 26 0 1 7 7 11 14 18 32 0 1 8 6 12 16 20 28 1 1 4 5 9 12 16 31 1 0 9 5 10 15 18 33 0 1 9 9 15 20 19 38 1 0 9 2 9 12 19 38 0 1 7 7 6 9 15 36 0 0 5 7 9 13 17 31 1 1 7 5 15 15 21 36 0 0 9 9 15 19 24 43 1 1 8 4 9 11 16 37 1 1 6 5 11 11 13 28 0 1 9 9 9 17 21 35 0 1 8 7 11 15 16 34 1 1 7 6 10 14 17 40 1 1 7 8 9 15 17 31 1 0 7 7 6 11 18 41 0 0 8 6 12 12 18 35 1 0 10 8 13 15 23 38 1 1 6 6 12 16 20 37 0 0 6 7 12 16 20 31 0 0
Names of X columns:
Intention_to_Use Relative_Advantage Perceived_Usefulness Perceived_Ease_of_Use Information_Quality System_Quality groupB genderB
Sample Range:
(leave blank to include all observations)
From:
To:
Color
grey
white
blue
red
black
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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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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