Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
28.2 26.1 28.1 25.9 27.6 25.9 27.5 25.6 27.5 25.5 27.1 25.3 27.4 25.3 27.1 25.3 26.9 25.3 26.9 25.1 26.8 25.1 26.9 25.1 26.7 25.0 26.8 25.0 27.1 24.8 26.9 24.5 26.7 24.5 26.5 24.5 26.5 24.4 26.3 24.1 26.1 23.9 26.2 23.8 25.9 23.6 25.8 23.6 25.7 23.1 25.5 23.3 25.4 23.0 25.4 22.8 25.2 22.5 24.8 22.3 24.7 22.0 24.4 22.1 24.2 21.8 24.0 21.6 23.8 21.3 23.5 21.1 23.1 21.1 23.2 21.0 23.3 20.9 23.1 20.9 23.2 20.8 23.2 20.8 23.1 20.8 23.1 20.6 22.8 20.5 22.8 20.6 23.1 20.5 22.8 20.5 22.7 20.3 22.8 20.3 22.8 20.3 22.5 20.2 22.6 20.2 22.6 20.3 22.5 20.1 22.6 20.2 23.0 20.3 22.8 20.2 23.0 20.2 22.9 20.4 22.8 20.3 22.7 20.3 23.3 20.4 23.7 20.5 24.3 21.5 24.3 21.3 24.6 21.2 25.1 21.6 25.9 21.9 26.1 22.0
Names of X columns:
Men Women
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
yes
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
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,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of 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