R version 3.2.3 (2015-12-10) -- "Wooden Christmas-Tree"
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> x <- c(13408,7820,9079,8307,7865,10028,9054,7143,8006,7638,7600,2904,13224,8079,9678,7746,9007,8362,7458,7753,7352,7117,6971,3304,11812,6867,8296,6489,7784,7506,6514,6323,6201,7169,6744,2087,10668,6406,7730,7105,7694,7160,6820,6025,5877,7191,5778,2273,11321,6759,7150,6363,6442,6453,6228,5325,6504,6817,5789,1894,11068,7174,8269,7060,6681,8953,7815,5925,6805,7044,7169,2824,10717,5245,6237,5871,5508,15801,1236,2656,3425,3533,4287,1380,8584,5522,6423,5173,5583,5716,4752,4977,4999,5285,5747,1713,9923,6737,7433,6388,6855,7658,6585,6847,6353,7361,6929,1714,11798,8378,8131,7676,7505,8168,6455,6141,6554,6888,5339,1624,9187,5047,5289,4169,3862,4253,3768,3066,4108,3890,3420,1221,5984,4064,5151,4027,3530,4819,3855,3584,4322,4154,4656,1464,7780,5060,6084,4778,4989,4903,4142,4101,4595,5034,5407,1782,8395,5291,6116,4210,4621,5299,4293,4542,3831,4360,4088,1508,6743,4159,5105,4283,4019,4206,3948,3407,3701,4159,4208,2622,6229,4432,4986,4226,4349,4688,4002,3381,4250,4154,4350,2713)
> par2 = '12'
> par1 = 'multiplicative'
> par2 <- '12'
> par1 <- 'multiplicative'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 ()
> #Author: root
> #To cite this work: Wessa P., (2013), Classical Decomposition (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_decompose.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #
> par2 <- as.numeric(par2)
> x <- ts(x,freq=par2)
> m <- decompose(x,type=par1)
> m$figure
 [1] 1.6336802 1.0239057 1.1788807 0.9836917 1.0099926 1.2025374 0.9061477
 [8] 0.8591152 0.9226728 0.9817912 0.9507445 0.3468404
> postscript(file="/var/wessaorg/rcomp/tmp/1pw7i1452426304.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/wessaorg/rcomp/tmp/2os451452426304.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3pdy01452426304.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/4q7g01452426304.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$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,signif(m$trend[i]+m$seasonal[i],6)) else a<-table.element(a,signif(m$trend[i]*m$seasonal[i],6))
+ a<-table.element(a,signif(m$trend[i],6))
+ a<-table.element(a,signif(m$seasonal[i],6))
+ a<-table.element(a,signif(m$random[i],6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/wessaorg/rcomp/tmp/5bh0r1452426304.tab") 
> 
> try(system("convert tmp/1pw7i1452426304.ps tmp/1pw7i1452426304.png",intern=TRUE))
character(0)
> try(system("convert tmp/2os451452426304.ps tmp/2os451452426304.png",intern=TRUE))
character(0)
> try(system("convert tmp/3pdy01452426304.ps tmp/3pdy01452426304.png",intern=TRUE))
character(0)
> try(system("convert tmp/4q7g01452426304.ps tmp/4q7g01452426304.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.872   0.329   3.211