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Data:
93.6 103.5 127 117.5 111.5 137.6 103.2 86.9 124.4 113.6 101.6 148.5 108.3 117.2 128.7 116.5 131.7 139.9 107.4 96.1 126.5 116.4 109.8 148 111.4 117 141.7 120 132.1 146.7 122.5 99.6 122.7 139 117.8 125.5 134.5 121.3 126.7 117.7 123 132.1 113.1 89.2 121.7 105.3 85.3 105.3 72.2 92.1 97.2 78.6 78.1 93 81 65.9 88.6 85.7 76.3 96.8 76.8 85.6 119.2 91.4 95.7 112.3 95.2 82.8 111.3 108.2 97 124.4 100 99.3 117.6 131.5 114.2 116.8 116.5 105.4 89.2 115.8 111.4 106.4 128.4 112.7 107.7 111 129.8 130.5 142.9 159.9 84.1 75 100.7 106.8 97.4 113 113.2 76.9 87.3 103.7 92.1 92.9 112.2 88.7 74.6 101.5 119.7 120.7
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 <- 'omzetontwikkeling personenauto-importeurs' 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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Raw Input
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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