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Data:
80.44 80.9 81.03 81.6 81.56 82.08 83.44 83.55 82.63 82.43 82.42 82.48 82.51 83.23 83.41 83.88 83.96 84.32 85.82 85.72 84.36 84.36 84.36 85.08 84.95 85.62 86.22 86.4 86.71 87.51 89.22 89.43 88.24 88.9 88.78 89.25 88.8 89.46 89.66 90.29 90.08 90.42 92.14 92.09 91.35 91.22 90.99 91.48 90.98 91.52 91.62 92.12 92.26 92.18 94.12 93.82 93.2 93.34 93.11 93.63 93.29 93.69 94.19 94.82 94.52 94.94 96.87 96.6 95.43 95.56 95.37 96 95.6 96.17 96.26 97.2 97.23 97.74 99.37 99.37 98.22 98.27 97.98 98.53 97.98 98.63 98.74 99.37 99.51 99.66 101.62 101.71 100.49 100.81 100.48 101.01 100.62 101.12 101.45 101.34 101.39 101.93 102.42 102.18 102.72 102.43 102.35 102.69
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 <- 'consumptieprijzenindex horeca 2006-2014' par2 <- 'http://stat.nbb.be/Index.aspx?ThemeTreeId=15&lang=nl' par1 <- 'consumptieprijzenindex horeca' 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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Summary of computational transaction
Raw Input
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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