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Type 'q()' to quit R. > x <- c(192528,190773,188996,185320,221698,219771,192528,174414,176163,176163,178112,181616,192528,188996,194449,203412,254400,254400,243516,232604,241567,252473,254400,259853,276217,265306,265306,281670,327033,330709,321580,299762,316121,316121,317876,327033,334241,337917,337917,348823,390681,401565,403314,376071,390681,385228,374317,397889,403314,394185,396112,408773,456085,479624,479624,468740,485082,468740,459588,494239,499664,486832,519533,532366,570521,595842,592339,590389,604999,603222,581432,614128,625040,614128,659491,681309,732102,752143,746712,735800,744935,755841,719441,748461,766753,759373,806657,822993,892101,904761,888424,897554,903007,908460,873809,906511,924624,906511,959275,975618,1046468,1057380,1060884,1079170,1079170,1086378,1053676,1070041,1080925,1060884,1119079,1129986,1202597,1215430,1233543,1249908,1251657,1253584,1220883,1253584) > 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] 0.9847831 0.9497732 0.9687437 0.9803686 1.0710597 1.0754955 1.0456294 [8] 0.9966125 1.0050130 0.9910399 0.9552278 0.9762536 > postscript(file="/var/wessaorg/rcomp/tmp/1kan31409433039.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/2503a1409433039.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3o6691409433039.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4e2pn1409433039.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/570nr1409433039.tab") > > try(system("convert tmp/1kan31409433039.ps tmp/1kan31409433039.png",intern=TRUE)) character(0) > try(system("convert tmp/2503a1409433039.ps tmp/2503a1409433039.png",intern=TRUE)) character(0) > try(system("convert tmp/3o6691409433039.ps tmp/3o6691409433039.png",intern=TRUE)) character(0) > try(system("convert tmp/4e2pn1409433039.ps tmp/4e2pn1409433039.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.875 0.249 2.136