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Data:
81.83 82.58 82.6 82.71 82.98 83.11 83.22 83.32 83.39 83.45 83.52 83.59 83.97 84.48 84.8 84.93 85.14 85.22 85.54 85.5 85.61 85.75 85.89 85.94 86.08 86.3 86.97 87.3 87.62 87.59 87.78 87.87 88.17 88.67 88.84 88.9 88.98 89.27 89.69 89.72 89.79 89.82 89.98 90.09 90.31 90.3 90.48 90.52 90.53 91.38 91.87 91.9 92.08 92.14 92.09 92.32 92.67 92.78 92.96 93.12 93.32 94.12 94.34 94.52 94.81 94.95 94.99 95.03 95.16 95.41 95.46 95.62 95.66 95.96 96.18 96.24 97.03 97.11 97.28 97.74 97.83 98.14 98.18 98.21 98.43 98.67 99.51 99.64 99.83 99.84 99.94 100.17 100.56 101.05 101.17 101.21 101.01 101.92 102.33 102.41 102.5 102.69 102.98 103.11 103.36 103.8 104.07 104.15 104.19 104.64 104.98 105.25 105.43 105.59 105.84 105.87 106 106.14 106.24 106.31
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 <- 'comsumptieprijzen lichaamelijk.verg. dames' 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 Output
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Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
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