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Data:
243.2 235.1 229.6 222.9 217.6 214.1 210.8 208 202.6 199 195.5 192.1 189.4 182.4 179.2 176.5 174 171.7 169.8 168.3 166.4 165.9 166.4 170.6 177.6 183.4 191.9 201.7 210.6 221.6 232.2 240.4 248.4 258.5 265 271.7 273.9 277.8 273.4 270.9 268.3 264.7 264.1 264.5 262.2 258.6 259.4 262.7 264.9 260.5 256.4 254.7 254.8 255.3 256.8 258.7 259.8 261.7 264.7 269.1 279 283.4 285.5 288.2 292.1 295.6 302.4 308.5 314.1 319.8 329.7 339.7 353.9 360 368.5 375.8 380.5 387.9 399.8 404.4 411 419 426.2 436.2 . 445.1 442.5 441.8 439 438.5 .
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
par4 <- '12' par3 <- 'Werkloosheidsuitkeringen seizoensgecorrigeerd' par2 <- 'CBS' par1 <- 'Sociale zekerheid; kerncijfers, uitkeringen naar uitkeringssoort' 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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R Server
Big Analytics Cloud Computing Center
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