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Data:
110.27 110.91 110.27 109.41 111.47 110.77 110.83 110.52 110.44 109.99 110.55 109.99 111.2 111.81 110.36 111.24 112.6 111.75 112.49 111.94 113.22 112.85 114.37 113.68 118 118.27 119.2 117.98 117.59 117.41 118.31 118.4 117.92 118.94 118.81 117.44 120.21 119.74 118.79 118.19 119.16 118.88 119.59 119.44 119.84 119.31 118.15 118.23 119.89 118.83 118.95 119.86 119.07 119.52 119.92 119.68 119.81 120.09 119.98 118.96
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 <- 'Deze reeks stelt de evolutie voor van de consumptieprijsindex van sigaretten van begin 2011 tot eind 2015 met als basisjaar 2006. Deze zijn maandelijks opgedeeld om een betere zicht te hebben op de prijsevolutie.' par2 <- 'http://statline.cbs.nl/Statweb/publication/?DM=SLNL&PA=71311NED&D1=0&D2=64&D3=207-218,220-231,233-244,246-257,259-270&HDR=T,G1&STB=G2&CHARTTYPE=1&P=T&VW=T' par1 <- 'CPI Wijnen' 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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Big Analytics Cloud Computing Center
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