R version 2.12.1 (2010-12-16)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
Platform: i486-pc-linux-gnu (32-bit)

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> x <- c(19097.1,19304.6,19601.7,16006.9,17681.2,19790.4,17014.2,17424.5,18908.9,15692.1,15160,15794.3,16032.1,16065,16236.8,12521,14762.1,15446.9,13635,14212.6,15021.7,14134.3,13721.4,14384.5,15638.6,19711.6,20359.8,16141.4,20056.9,20605.5,19325.8,20547.7,19211.2,19009.5,18746.8,16471.5,18957.2,20515.2,18374.4,16192.9,18147.5,19301.4,18344.7,17183.6,19630,17167.2,17428.5,16016.5,18466.5,18406.6,18174.1,14851.9,16260.7,18329.6,18003.8,15903.8,19554.2,16554.2,16198.9,16571.8,17535.2,16198.1,17487.5,13768,14915.8,17160.9,15607.4,16181.5,17413.2,15116.3,14544.5,15050.6,15535.4,15919.3,15853.1,12336.4,14355.5,16040.8,13867.7,14656.6)
> par2 = '12'
> par1 = 'additive'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1]   291.17785  1166.63951  1136.68201 -2277.53549  -134.04799  1217.53868
 [7]    42.35535  -129.79132  1234.84035  -530.18382  -793.53715 -1224.13799
> postscript(file="/var/www/rcomp/tmp/1ndnl1305878350.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> plot(m)
> dev.off()
null device 
          1 
> mylagmax <- length(x)/2
> postscript(file="/var/www/rcomp/tmp/2i1s91305878350.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> acf(as.numeric(x),lag.max = mylagmax,main='Observed')
> acf(as.numeric(m$trend),na.action=na.pass,lag.max = mylagmax,main='Trend')
> acf(as.numeric(m$seasonal),na.action=na.pass,lag.max = mylagmax,main='Seasonal')
> acf(as.numeric(m$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/31svc1305878350.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
> spectrum(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
> spectrum(as.numeric(m$random[!is.na(m$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/466831305878350.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$trend[!is.na(m$trend)]),main='Trend')
> cpgram(as.numeric(m$seasonal[!is.na(m$seasonal)]),main='Seasonal')
> cpgram(as.numeric(m$random[!is.na(m$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$trend)) {
+ a<-table.row.start(a)
+ a<-table.element(a,i,header=TRUE)
+ a<-table.element(a,x[i])
+ if (par1 == 'additive') a<-table.element(a,m$trend[i]+m$seasonal[i]) else a<-table.element(a,m$trend[i]*m$seasonal[i])
+ a<-table.element(a,m$trend[i])
+ a<-table.element(a,m$seasonal[i])
+ a<-table.element(a,m$random[i])
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/rcomp/tmp/5nt0j1305878350.tab") 
> 
> try(system("convert tmp/1ndnl1305878350.ps tmp/1ndnl1305878350.png",intern=TRUE))
character(0)
> try(system("convert tmp/2i1s91305878350.ps tmp/2i1s91305878350.png",intern=TRUE))
character(0)
> try(system("convert tmp/31svc1305878350.ps tmp/31svc1305878350.png",intern=TRUE))
character(0)
> try(system("convert tmp/466831305878350.ps tmp/466831305878350.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.348   0.312   2.648