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Data:
196.09 192.64 189.19 182.29 252.11 248.66 196.09 161.18 164.62 164.62 168.08 175.35 154.27 133.16 115.88 115.88 182.29 189.19 136.61 77.14 108.60 108.60 133.16 147.34 143.89 108.60 126.26 119.33 178.80 164.62 108.60 66.75 105.15 115.88 126.26 140.07 112.05 87.87 98.25 101.70 192.64 192.64 140.07 133.16 154.27 143.89 171.90 206.82 213.75 164.62 150.79 136.61 231.38 238.31 220.65 238.31 234.83 206.82 238.31 273.23 287.40 245.21 217.20 238.31 329.25 357.26 350.36 364.16 360.71 325.80 385.28 399.45 420.19 357.26 332.70 360.71 427.46 486.94 472.76 472.76 479.70 455.47 518.44 518.44 507.71 448.20 458.93 465.86 511.50 570.98 528.79 549.90 532.24 521.88 602.47 584.81 560.25 525.34 560.25 577.91 598.99 627.00 598.99 616.28 595.20 591.75 679.23 686.51 658.50 609.37 651.22 668.85 689.96 721.42 689.96 714.52 703.80 665.40 745.98 745.98
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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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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