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Data X:
10 10 36 8 15 32 6 14 33 10 14 39 8 8 34 10 19 39 7 17 36 10 18 33 6 10 30 7 15 39 9 16 37 6 12 37 7 13 35 6 10 32 4 14 36 6 15 36 8 20 41 9 9 36 8 12 37 6 13 29 6 16 39 10 12 37 8 14 32 8 15 36 7 19 43 4 16 30 9 16 33 8 14 28 10 14 30 8 14 28 6 13 39 7 18 34 8 15 34 5 15 29 10 15 32 2 13 33 6 14 27 7 15 35 5 14 38 8 19 40 7 16 34 7 16 34 10 12 26 7 10 39 6 11 34 10 13 39 6 14 26 5 11 30 8 11 34 8 16 34 5 9 29 8 16 41 10 19 43 7 13 31 7 15 33 7 14 34 7 15 30 2 11 23 4 14 29 6 15 35 7 17 40 9 16 27 9 13 30 4 15 27 9 14 29 9 15 33 8 14 32 7 12 33 9 12 36 7 15 34 6 17 45 7 13 30 2 5 22 3 7 24 4 10 25 5 15 26 2 9 27 6 9 27 8 15 35 5 14 36 4 11 32 10 18 35 10 20 35 10 20 36 9 16 37 5 15 33 5 14 25 7 13 35 10 18 37 9 14 36 8 12 35 8 9 29 8 19 35 8 13 31 8 12 30 7 14 37 6 6 36 8 14 35 2 11 32 5 11 34 4 14 37 9 12 36 10 19 39 6 13 37 4 14 31 10 17 40 6 12 38 7 16 35 7 15 38 8 15 32 6 15 41 5 16 28 6 15 40 7 12 25 6 13 28 9 14 37 9 17 37 7 14 40 6 14 26 7 14 30 7 15 32 8 11 31 7 11 28 8 16 34 7 12 39 4 12 33 10 19 43 8 18 37 8 16 31 2 16 31 6 13 34 4 11 32 4 10 27 9 14 34 2 14 28 6 14 32 7 16 39 4 10 28 10 16 39 3 7 32 7 16 36 4 15 31 8 17 39 4 11 23 5 11 25 6 10 32 5 13 32 9 14 36 6 13 39 8 13 31 4 12 32 4 10 28 8 15 34 4 6 28 10 15 38 8 15 35 5 11 32 3 14 26 7 14 32 6 16 28 5 12 31 5 15 33 9 20 38 2 12 38 7 9 36 7 13 31 5 15 36 9 19 43 4 11 37 5 11 28 9 17 35 7 15 34 6 14 40 8 15 31 7 11 41 6 12 35 8 15 38 6 16 37 7 16 31
Names of X columns:
Relative_Advantage Perceived_Ease_of_Use System_Quality
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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