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Data:
227.81 227.81 227.01 227.26 227.1 227.59 227.59 227.7 227.75 226.33 225.95 226.33 226.33 226.22 224.84 221.88 222.37 221.8 221.8 221.8 221.9 220.2 219.95 220.05 220.05 220.05 220.62 221.53 221.61 221.5 221.5 221.87 222.27 220.86 221.49 221.67 221.67 221.72 221.67 220.29 220.75 219.59 219.59 219.59 219.82 221.59 220.9 221.01 221.01 219.69 221 219.82 218.04 217.97 217.97 217.53 217 217.18 217.68 217.71 217.71 218.5 218.8 218.94 220 219.89 219.89 220.08 220.16 221 222.16 221.5
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 <- 'Gemiddelde consumptieprijzen per lederen vest' par2 <- 'BelgoStat' par1 <- 'Gemiddelde consumptieprijzen per lederen vest' 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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