R version 2.10.1 (2009-12-14)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(23100
+ ,22650
+ ,22440
+ ,22910
+ ,22980
+ ,22535
+ ,22300
+ ,22780
+ ,22780
+ ,23300
+ ,23800
+ ,24510
+ ,24660
+ ,24730
+ ,25070
+ ,24690
+ ,24880
+ ,23920
+ ,23880
+ ,23990
+ ,24590
+ ,23610
+ ,23580
+ ,23360
+ ,23910
+ ,23940
+ ,23060
+ ,22800
+ ,23020
+ ,22890
+ ,22780
+ ,22530
+ ,22290
+ ,22820
+ ,22480
+ ,22110
+ ,22000
+ ,22230
+ ,22260
+ ,22590
+ ,22820
+ ,22420
+ ,22230
+ ,21600
+ ,21000
+ ,21360
+ ,21640
+ ,21450
+ ,21710
+ ,21620
+ ,21800
+ ,21490
+ ,21670
+ ,22130
+ ,22050
+ ,22050
+ ,22140
+ ,22390
+ ,22220
+ ,21790
+ ,21510
+ ,21670
+ ,21745
+ ,21850
+ ,22105
+ ,22050
+ ,21670
+ ,21680
+ ,21800
+ ,21920
+ ,21980
+ ,22270
+ ,21740
+ ,21950
+ ,22010
+ ,21890
+ ,21920
+ ,22110
+ ,22340
+ ,22210
+ ,22240
+ ,21960
+ ,22220
+ ,22060
+ ,22090
+ ,21960
+ ,21940
+ ,21790
+ ,21710
+ ,21690
+ ,21710
+ ,21670
+ ,21640
+ ,21500
+ ,21290
+ ,21250
+ ,21580
+ ,21670
+ ,21620
+ ,21510
+ ,21360
+ ,21420
+ ,21470
+ ,21370
+ ,21370
+ ,21340
+ ,21130
+ ,21130
+ ,20990
+ ,21240
+ ,21320
+ ,21430
+ ,21390
+ ,21530
+ ,21510
+ ,21630
+ ,21560
+ ,21610
+ ,21560
+ ,21310
+ ,21340
+ ,21410
+ ,21550
+ ,21380
+ ,21600
+ ,21530
+ ,21560
+ ,21670
+ ,21540
+ ,21540
+ ,21550
+ ,21590
+ ,21420
+ ,21420
+ ,21370
+ ,21380
+ ,21210
+ ,21505
+ ,21365
+ ,21385
+ ,21350
+ ,21360
+ ,21530
+ ,21380
+ ,21630
+ ,22145
+ ,22315
+ ,22340
+ ,22440
+ ,22135
+ ,21955
+ ,22060
+ ,22050
+ ,22035
+ ,22280
+ ,22315
+ ,22205
+ ,21970
+ ,22075
+ ,22115
+ ,22105
+ ,21885
+ ,21805
+ ,21910
+ ,21995
+ ,22245
+ ,22100
+ ,22130
+ ,22300
+ ,22915
+ ,23040
+ ,22880
+ ,23000
+ ,23160
+ ,23020
+ ,22770
+ ,22660
+ ,22740
+ ,22905
+ ,22720
+ ,22705
+ ,22735
+ ,22600
+ ,22510
+ ,22560
+ ,22575
+ ,22685
+ ,22980
+ ,23275
+ ,23845
+ ,23640
+ ,23640
+ ,23835
+ ,23625
+ ,24055
+ ,24005
+ ,24325
+ ,24445
+ ,24670
+ ,24615
+ ,24700
+ ,25065
+ ,25185
+ ,25220
+ ,25235
+ ,24975
+ ,25055
+ ,25520
+ ,25880
+ ,25960
+ ,25740
+ ,24965
+ ,25235
+ ,24895
+ ,24635
+ ,24835
+ ,24635
+ ,24695
+ ,25090
+ ,25220
+ ,24740
+ ,25005
+ ,24650
+ ,24460
+ ,24680
+ ,24840
+ ,24630
+ ,24490
+ ,24695)
> par2 = '5'
> 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]  23.150000 -34.122727 -21.281818  -2.781818  35.036364
> postscript(file="/var/www/rcomp/tmp/171371275226070.ps",horizontal=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/271371275226070.ps",horizontal=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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/30skr1275226070.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/4bjjc1275226070.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5obh31275226070.tab") 
> 
> try(system("convert tmp/171371275226070.ps tmp/171371275226070.png",intern=TRUE))
character(0)
> try(system("convert tmp/271371275226070.ps tmp/271371275226070.png",intern=TRUE))
character(0)
> try(system("convert tmp/30skr1275226070.ps tmp/30skr1275226070.png",intern=TRUE))
character(0)
> try(system("convert tmp/4bjjc1275226070.ps tmp/4bjjc1275226070.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.300   1.070   2.952