R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(464,675,703,887,1139,1077,1318,1260,1120,963,996,960,530,883,894,1045,1199,1287,1565,1577,1076,918,1008,1063,544,635,804,980,1018,1064,1404,1286,1104,999,996,1015,615,722,832,977,1270,1437,1520,1708,1151,934,1159,1209,699,830,996,1124,1458,1270,1753,2258,1208,1241,1265,1828,809,997,1164,1205,1538,1513,1378,2083,1357,1536,1526,1376,779,1005,1193,1522,1539,1546,2116,2326,1596,1356,1553,1613,814,1150,1225,1691,1759,1754,2100,2062,2012,1897,1964,2186,966,1549,1538,1612,2078,2137,2907,2249,1883,1739,1828,1868,1138,1430,1809,1763,2200,2067,2503,2141,2103,1972,2181,2344,970,1199,1718,1683,2025,2051,2439,2353,2230,1852,2147,2286,1007,1665,1642,1518,1831,2207,2822,2393,2306,1785,2047,2171,1212,1335,2011,1860,1954,2152,2835,2224,2182,1992,2389,2724,891,1247,2017,2257,2255,2255,3057,3330,1896,2096,2374,2535,1041,1728,2201,2455,2204,2660,3670,2665,2639,2226,2586,2684,1185,1749,2459,2618,2585,3310,3923)
> par2 = '12'
> par1 = 'multiplicative'
> #'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] 0.5338144 0.7138365 0.8570340 0.9358654 1.0557887 1.0900075 1.3553678
 [8] 1.3282170 1.0415686 0.9446635 1.0361209 1.1077156
> postscript(file="/var/www/html/rcomp/tmp/1uuvc1275507497.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/html/rcomp/tmp/253df1275507497.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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/353df1275507497.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/4fuc01275507497.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/rcomp/createtable")
> 
> a<-table.start()
> a<-table.row.start(a)
> a<-table.element(a,'Classical Decomposition by Moving Averages',6,TRUE)
> a<-table.row.end(a)
> a<-table.row.start(a)
> a<-table.element(a,'t',header=TRUE)
> a<-table.element(a,'Observations',header=TRUE)
> a<-table.element(a,'Fit',header=TRUE)
> a<-table.element(a,'Trend',header=TRUE)
> a<-table.element(a,'Seasonal',header=TRUE)
> a<-table.element(a,'Random',header=TRUE)
> a<-table.row.end(a)
> for (i in 1:length(m$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/html/rcomp/tmp/5tma91275507497.tab") 
> 
> try(system("convert tmp/1uuvc1275507497.ps tmp/1uuvc1275507497.png",intern=TRUE))
character(0)
> try(system("convert tmp/253df1275507497.ps tmp/253df1275507497.png",intern=TRUE))
character(0)
> try(system("convert tmp/353df1275507497.ps tmp/353df1275507497.png",intern=TRUE))
character(0)
> try(system("convert tmp/4fuc01275507497.ps tmp/4fuc01275507497.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.737   0.679   2.081