Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
25 25 25 25 29 30 30 29 35 30 30 30 29 30 30 26 30 30 30 35 30 30 30 50 25 29 30 25 30 30 25 42 29 15 29 30 25 20 10 30 29 30 50 25 30 30 25 50 29 30 30 30 30 30 30 29 35 40 29 26 23 25 30 30 30 30 20 29 25 25 28 30 30 25 30 31 30 29 45 30 30 35 30 30 25 50 40 20 35 22 30 25 30 30 29 50 45 30 26 30 29 35 20 29 25 30 45 35 30 30 40 20 26 29 20 25 30 30 25 30 23 25 30 30 40 30 40 35 40 30 25 33 30 30 30 35 33 35 30 40 29 25 27 30 30 35 20 30 30 25 25 30 30 30 40 40 30 40 20 50 20 30 30 30 30 25 30 30 30 30 30 30 23 30 25 50 20 23 25 29 26 40 30 30 35 20 29 25 30 30 30 50 30 35 30 30 30 35 30 35 15 30 20 35 40 30 30 40 29 30 20 35 50 30 30 40 30 50 18 15 30 23 29 30 35 30 23 30 25 26 25 30 20 25 30 29 40 30 30 30 40 37 20 25 30 32 35 32 30 30 35 30 25 30 24 30 35 30 30 30 30 30 25 30 25 35 30 30 30 30 30 30 35 32 30 20 20 30 35 30 40 29 26 40 25 35 30 23 30 27 35 30 20 30 25 50 30 30 29 35 29 25 30 45 30 25 29 25 40 30 30 40 30 30 29 35 35 30 30 27 30 30 29 50 30 30 20 25 25 30 27 29 50 50 30 30 40 20 30 30 30 25 30 30 30 30 40 25 35 30 30 35 20 20 50 35 29 50 40 30 45 30 40 30 29 25 40 35 25 21 30 30 30 30 15 30 30 30 30 30 25 30 30 30 30 25 25 40 30 33 40 26 30 37 25 29 30 25 29 30 30 30 30 30 22 25 30 40 30 29 25 30 30 29 30 30 30 35 30 35 30 12 15 25 30 30 30 25 20 30 35 35 29 40 30 40 30 25 30 20 29 28 30 25 30 50 30 30 29 30 35 20 30 30 30 30 30 40 30 30 35 25 30 50 30 30 30 30 25 30 30 30 25 30 30 30 25 30 30 26 30 30 30 30 25 20 30 35 30 20 20 25 30 30 30 30 29 35 25 30 30 35 35 30 20 30 30 30 25 30 30 26 30 25 30 50 30 20 29 30 30 30 30 30 40 30 35 27 30 25 29 25 30 25 30 29 25 20 30 25 32 30 29 30 30 30 30 25 25 30 30 60 20 30 35 25 30 25 30 40 25 30 29 29 30 29 26 18 30 40 30 30 30 30 30 29 30 30 30 35 30 30 30 20 29 20 30 30 25 30 40 30 30 25 40 30 30 29 25 30 35 30 20 30 20 25 30 40 25 47 20 20 30 30 25 30 25 40 29 40 29 30 30 30 35 30 20 30 24 30 40 30 30 15 35 18 30 25 30 30 30 15 20 30 25 30 20 30 30 30 25 40 50 30 30 35 30 30 15 30 25 30 30 26 30 25 25 30 30 30 50 30 25 30 25 30 26 25 34 30 25 30 35 30 40 30 30 29 30 29 30 50 30 15 30 25 50 30 30 35 35 25 23 30 30 30 35 25 15 30 29 30 15 30 40 29 30 25 25 50 30 1 30 30 30 35 30 30 35 30 20 20 20 30 35 30 25 29 35 40 30 35 29 30 30 30 29 30 30 30 30 30 30 30 35 30 30 30 25 50 30 30 30 25 25 35 30 35 30 29 30 35 30 30 35 25 25 29 35 50 30 30 29 30 30 30 20 30 30 20 30 25 20 30 50 20 40 40 30 29 35 25 20 20 21 29 35 30 28 30 30 35 26 30 25 25 30 30 30 25 35 30 35 35 30 29 30 26 30 27 30 30 50 25 30 30 30 40 30 32 25 35 30 30 20 30 40 30 26 30 40 30 30 26 35 35 26 50 30 30 25 30 40 25 30 25 30 15 40 30 25 30 30 30 30 30 25 25 30 20 18 25 30 29 13 27 30 30 30 30 25 30 35 29 30 29 30 30 25 45 29 30 30 25 25 29 30 30 30 29 30 23 35 35 10 32 29 45 30 29 30 15 50 35 25 25 30 30 30 30 30 40 29 25 30 25 30 25 25 30 35 30 25 20 30 30 30 15 30 35 50 35 30 30 25 30 30 15 30 25 30 30 25 29 30 30 40 25 30 30 25 35 29 30 25 30 30 25 30 30 30 25 35 25 29 25 30 30 50 30 30 30 30 30 20 25 25 35 25 30 25 50 20 45 25 35 30 40 35 30 30 30 30 23 30 25 30 15
Names of X columns:
A
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation