R version 3.2.2 (2015-08-14) -- "Fire Safety"
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> x <- c(989,1215,2911,2372,2013,2050,1580,1407,903,709,490,206,1101,1189,2877,2489,2145,1837,1613,1296,849,642,475,224,920,1263,2999,2988,2163,2391,1556,1089,976,626,392,203,1052,1034,2353,3075,2309,2009,1464,1099,1035,792,406,187,862,822,2128,2264,1987,1728,1311,1152,945,704,526,361,1035,869,2698,2367,1926,1843,1404,1314,1007,865,587,339,1143,1807,2380,2337,2117,1789,1569,1305,952,810,473,278,993,1038,2257,2284,1747,1515,1233,882,1029,707,391,239,592,692,2127,1854,1468,1535,1203,880,821,604,315,139,528,654,1895,1598,1519,1242,1027,762,735,485,281,131,651,611,1898,1385,1047,1008,843,833,711,444,315,204,473,566,1611,1301,1154,1158,862,801,559,404,223,158,548,647,1757,1326,1308,1175,992,808,758,553,310,146)
> 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] 0.7015543 0.7908852 1.9704672 1.8039995 1.5060128 1.3889065 1.0934188
 [8] 0.9025532 0.7509018 0.5538051 0.3454915 0.1920042
> postscript(file="/var/wessaorg/rcomp/tmp/1wt7a1449336951.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) 
> plot(m)
> dev.off()
null device 
          1 
> mylagmax <- length(x)/2
> postscript(file="/var/wessaorg/rcomp/tmp/2il781449336951.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) 
> 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$random),na.action=na.pass,lag.max = mylagmax,main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3igso1449336951.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) 
> op <- par(mfrow = c(2,2))
> spectrum(as.numeric(x),main='Observed')
> spectrum(as.numeric(m$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$random)]),main='Random')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/46wqu1449336951.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=13.888888888889,height=8.3333333333333) 
> op <- par(mfrow = c(2,2))
> cpgram(as.numeric(x),main='Observed')
> cpgram(as.numeric(m$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/5v7dr1449336951.tab") 
> 
> try(system("convert tmp/1wt7a1449336951.ps tmp/1wt7a1449336951.png",intern=TRUE))
character(0)
> try(system("convert tmp/2il781449336951.ps tmp/2il781449336951.png",intern=TRUE))
character(0)
> try(system("convert tmp/3igso1449336951.ps tmp/3igso1449336951.png",intern=TRUE))
character(0)
> try(system("convert tmp/46wqu1449336951.ps tmp/46wqu1449336951.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.325   0.288   2.635