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Data:
23869 23275 21862 20949 20001 19988 27180 28189 28302 25053 23030 21027 21461 20334 19191 18362 16961 17128 24027 25056 23872 22139 20397 19861 19960 19307 17812 17497 15379 16256 22775 23401 22783 21364 20607 20786 21312 20997 20819 20172 18527 19250 25378 26408 25884 23938 22973 23319 23048 22553 21598 20486 18811 19378 25887 26571 25628 23089 21714 20858 21166 20417 19503 18351 17283 17306 23465 24156 23408 21255 20063 19526 20463 19968 18804 17869 16843 17006 21358 24107 23446 21722 20683 19960
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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