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Data:
27.88 28.06 28.08 28.12 28.11 28.18 28.2 28.37 28.64 28.75 28.97 29.08 29.16 29.24 29.36 29.35 29.43 29.49 29.61 29.66 29.75 29.74 29.97 30.02 30.09 30.16 30.33 30.41 30.44 30.45 30.46 30.51 30.54 30.82 30.88 30.89 31.13 31.41 31.47 31.56 31.62 31.65 31.79 31.98 32.14 32.32 32.5 32.55 32.66 32.68 32.72 32.8 32.93 32.96 32.98 33.09 33.46 33.65 33.82 33.83 33.92 33.87 34.03 34.11 34.29 34.44 34.64 34.77 35.01 35.19 35.32 35.35
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 <- '' par2 <- '' par1 <- 'Gemiddelde consumptieprijzen/product: pralines' 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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