Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
3719.8 3646.4 3644.6 3713.2 3708.4 3689.6 3652 3590.2 3549.6 3580.6 3599.8 3647 3693.8 3755.6 3832.6 3917.4 4004 4086 4108.8 4179.2 4210.6 4276.6 4361.2 4452 4496.4 4581.6 4694 4749 4790 4837 4915 4929.8 5058 5150 5240 5318 5397.2 5474.6 5500.8 5552 5637.8 5622.8 5633.8 5567.8 5522
Name of dataseries
Source
Description
Season
12
12
6
4
No season
Chart options
Title:
Label y-axis:
Label x-axis:
Y-axis minimum
Y-axis maximum
R Code
if (par4 != 'No season') { par4 <- as.numeric(par4) if (par4 < 4) par4 <- 12 } summary(x) n <- length(x) bitmap(file='test1.png') if (par4=='No season') { plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n') axis(1,at=seq(1,n,10)) } if (par4!='No season') { plot(x,col=2,type='b',main=main,xlab=xlab,ylab=ylab,xaxt='n') axis(1,at=seq(1,n,par4)) grid(nx=0,ny=NULL,col='black') abline(v=seq(1,n,par4),col='black',lty='dotted') } dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Univariate Dataseries',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Name of dataseries',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Source',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Description',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Number of observations',header=TRUE) a<-table.element(a,length(x)) 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,'Summary Statistics of dataseries x',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('summary(x)'),'</pre>',sep='')) 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