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Data:
8.4000 5 6 4 7.5000 8 3 3 9.0000 7 6 3 7.2000 5 4 3 9.0000 6 4 3 6.1000 4 4 3 7.2000 2 5 4 7.7000 4 5 3 8.2000 6 6 4 6.7000 6 6 4 8.4000 7 5 3 6.6000 4 6 5 7.9000 7 7 6 8.2000 8 5 4 7.6000 7 6 4 7.1000 8 4 3 7.2000 6 5 4 8.2000 6 6 4 7.9000 6 6 3 8.8000 5 7 4 7.0000 4 5 4 9.9000 8 8 6 8.1000 7 5 4 8.0000 7 4 2 5.5000 5 5 4 7.0000 4 5 4 7.0000 8 4 3 5.6000 5 4 3 7.2000 8 4 3 6.2000 4 5 4 7.1000 6 5 3 6.2000 5 4 2 7.6000 5 5 4 9.0000 5 5 3 6.7000 5 7 4 7.1000 6 3 3 7.2000 6 4 3 9.9000 8 6 4 7.6000 5 5 4 5.8000 4 6 5 8.4000 5 5 3 7.9000 6 5 4 7.6000 7 6 5 8.4000 5 8 5 6.5000 8 3 2 7.7000 6 6 4 8.0000 5 4 4 7.1000 6 6 4 8.5000 7 7 4 7.6000 7 6 4 7.2000 5 5 4 8.2000 8 3 3 9.0000 7 5 2 7.2000 6 5 3 8.1000 5 5 3 8.9000 6 6 4 8.8000 7 7 5 7.5000 7 5 4 7.0000 5 4 4 8.5000 6 4 3 7.2000 8 4 3 8.8000 5 6 4 8.0000 5 5 4 8.1000 5 3 2 7.1000 5 5 4 9.0000 6 6 4 6.2000 6 5 4 8.2000 5 5 4 5.8000 4 4 4 8.0000 4 5 4 7.7000 5 7 4 7.0000 6 4 3 7.9000 6 6 4 9.8000 7 7 4 8.4000 5 6 4 8.9000 6 5 3 7.5000 5 5 4 8.0000 6 5 4 8.1000 8 6 4 7.6000 5 6 3 8.8000 6 5 3 8.0000 7 5 3 8.5000 6 4 3 6.5000 3 5 3 7.7000 7 4 3 7.2000 4 4 4 6.0000 4 5 4 8.2000 7 4 3 7.4000 6 5 4 9.3000 6 8 6 7.9000 6 5 4 6.5000 3 4 4 8.6000 8 5 4 8.9000 8 6 4 8.4000 6 6 4 8.1000 6 6 5 7.2000 4 5 3 7.7000 6 3 3 7.4000 5 7 5 7.0000 4 5 3 6.1000 4 5 4 7.1000 6 6 5 7.6000 5 7 5 9.0000 7 7 6 8.9000 6 6 4 7.5000 5 5 3 9.3000 8 6 4 8.0000 6 6 4 7.6000 7 5 4 7.1000 6 4 3 8.1000 8 6 5 7.9000 8 4 4 7.2000 5 5 4 7.7000 5 7 4 7.9000 5 6 4 6.9000 5 7 5 9.5000 6 6 5 7.5000 5 6 4 8.0000 5 5 4 7.1000 5 4 2 8.8000 7 7 5 8.0000 4 5 3 7.7000 5 3 2 8.2000 7 5 2 6.5000 3 5 4 8.1000 6 6 4 8.1000 7 6 4 6.9000 5 6 4 9.3000 8 8 6 6.2000 6 2 3 8.0000 7 5 4 7.1000 8 3 2 6.5000 3 5 3 7.1000 5 7 4 8.2000 7 4 2 7.0000 8 5 4 6.7000 6 2 3 7.5000 5 7 5 7.4000 3 4 4 7.4000 5 5 4 7.9000 6 6 3 8.0000 6 4 3 8.0000 7 6 3 8.4000 8 4 4 8.8000 5 4 4 7.9000 5 4 4 6.0000 5 7 4 8.2000 6 5 4 8.4000 5 8 5 7.4000 5 5 4 8.0000 5 7 4 6.6000 4 5 3 7.6000 3 5 4 7.5000 8 4 4 7.1000 4 7 5 7.9000 6 5 3 7.6000 4 5 4 7.1000 4 5 3 7.6000 5 5 4 8.2000 6 5 4 6.9000 5 5 4 8.1000 7 6 4 7.6000 6 6 4 8.4000 6 6 4 7.4000 6 6 4 7.9000 5 5 4 7.2000 5 6 3 7.6000 2 5 4 6.7000 6 4 3 7.4000 5 7 4 6.2000 5 4 3 7.5000 6 3 3 7.4000 7 7 4 7.9000 6 6 5 6.5000 4 7 5 8.6000 7 7 4 8.6000 7 4 2 8.0000 8 6 5 8.1000 6 3 3 8.2000 8 8 6 7.2000 7 4 2 8.4000 8 5 4 9.4000 8 8 6 9.4000 7 6 5 7.5000 6 5 3 6.6000 8 4 4 4.3000 4 4 3 6.6000 5 5 4 7.4000 6 6 4 7.1000 7 5 4
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')
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Raw Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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