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Data:
1189593.60 1185163.20 1180670.40 1171372.80 1263350.40 1258483.20 1189593.60 1143792.00 1148222.40 1148222.40 1153152.00 1162012.80 1175803.20 1175803.20 1166942.40 1143792.00 1263350.40 1281571.20 1254052.80 1189593.60 1217174.40 1175803.20 1194460.80 1203384.00 1212681.60 1189593.60 1194460.80 1162012.80 1263350.40 1295361.60 1267843.20 1217174.40 1272273.60 1212681.60 1267843.20 1263350.40 1277140.80 1226472.00 1281571.20 1277140.80 1359820.80 1341163.20 1267843.20 1230902.40 1281571.20 1212681.60 1263350.40 1272273.60 1290931.20 1249622.40 1272273.60 1286064.00 1336732.80 1295361.60 1240262.40 1180670.40 1235832.00 1084200.00 1157582.40 1198891.20 1240262.40 1180670.40 1180670.40 1180670.40 1212681.60 1166942.40 1106913.60 1056681.60 1093123.20 950851.20 1038024.00 1088692.80 1097990.40 1047321.60 1051752.00 1038024.00 1084200.00 1051752.00 987792.00 941553.60 1019740.80 849950.40 960211.20 1010443.20 1010443.20 950851.20 895752.00 891321.60 941553.60 895752.00 808641.60 748612.80 813072.00 661502.40 799281.60 872601.60 895752.00 845083.20 781060.80 826862.40 845083.20 831292.80 693451.20 629491.20 675230.40 537451.20 679723.20 730392.00 771700.80 702811.20 638352.00 675230.40 693451.20 657009.60 519230.40 459201.60 514300.80 362731.20 528091.20 629491.20
Name of dataseries
Source
Description
Season
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 <- 'De omzet van het product Auto-clean in euro, van jan 2007 tot dec 2016' par2 <- 'niet gekend' par1 <- 'Omzet Auto-clean in EUR' 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') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Summary Statistics of dataseries x',1,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,paste('<pre>',RC.texteval('summary(x)'),'</pre>',sep='')) a<-table.row.end(a) a<-table.end(a) table.save(a,file='mytable1.tab')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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