Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
1.14 0.88 0.85 0.97 0.88 0.86 -0.27 -0.28 -0.21 0.08 0.09 0.02 1.07 0.86 0.82 0.86 0.87 0.84 0.18 0.22 0.26 -0.12 -0.16 -0.22 0.92 0.79 0.78 0.52 0.6 0.62 1.15 0.91 0.88 0.87 0.84 0.81 0.59 0.64 0.62 0.75 0.82 0.81 1.05 0.86 0.83 0.78 0.83 0.8 -0.49 -0.53 -0.47 -0.66 -0.71 -0.68 0.98 0.88 0.84 0.92 0.83 0.8 0.74 0.81 0.78 0.65 0.72 0.71 0.51 0.6 0.62 0.41 0.56 0.57 0.6 0.64 0.61 0.47 0.53 0.52 0.42 0.53 0.53 0.4 0.46 0.45 0.72 0.69 0.66 0.48 0.58 0.57 0.35 0.53 0.49 0.21 0.31 0.32 0.58 0.7 0.67 0.65 0.78 0.78 0.62 0.72 0.71 0.59 0.73 0.78 0.54 0.63 0.63 0.34 0.43 0.4 0.08 0.09 0.13 -0.05 -0.06 -0.02
Names of X columns:
mean0 sum0 count0 mean1 sum1 count1
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