Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
8.6 -3 1.7 8.3 -2 2.4 8.3 -3 2 8.3 -1 2.1 8.4 3 2 8.5 -4 1.8 8.4 -15 2.7 8.6 -17 2.3 8.5 -14 1.9 8.5 -9 2 8.4 -17 2.3 8.5 -7 2.8 8.5 -6 2.4 8.5 -1 2.3 8.5 0 2.7 8.5 -2 2.7 8.5 -4 2.9 8.5 -6 3 8.5 -2 2.2 8.6 1 2.3 8.4 7 2.8 8.1 2 2.8 8.0 2 2.8 8.0 13 2.2 8.0 7 2.6 8.0 -1 2.8 7.9 1 2.5 7.8 0 2.4 7.8 0 2.3 7.9 5 1.9 8.1 3 1.7 8.0 6 2 7.6 7 2.1 7.3 -6 1.7 7.0 -8 1.8 6.8 -5 1.8 7.0 -14 1.8 7.1 -13 1.3 7.2 -15 1.3 7.1 -14 1.3 6.9 -10 1.2 6.7 -14 1.4 6.7 -18 2.2 6.6 -22 2.9 6.9 -24 3.1 7.3 -17 3.5 7.5 -16 3.6 7.3 -17 4.4 7.1 -22 4.1 6.9 -25 5.1 7.1 -18 5.8 7.5 -23 5.9 7.7 -20 5.4 7.8 -9 5.5 7.8 -4 4.8 7.7 0 3.2 7.8 3 2.7 7.8 14 2.1 7.9 13 1.9 7.9 12 0.6
Names of X columns:
Werkls Ecg Cprijs
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