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Type 'q()' to quit R. > x <- c(133448.00 + ,132951.00 + ,132447.00 + ,131404.00 + ,141722.00 + ,141176.00 + ,133448.00 + ,128310.00 + ,128807.00 + ,128807.00 + ,129360.00 + ,130354.00 + ,131901.00 + ,131901.00 + ,130907.00 + ,128310.00 + ,141722.00 + ,143766.00 + ,140679.00 + ,133448.00 + ,136542.00 + ,131901.00 + ,133994.00 + ,134995.00 + ,136038.00 + ,133448.00 + ,133994.00 + ,130354.00 + ,141722.00 + ,145313.00 + ,142226.00 + ,136542.00 + ,142723.00 + ,136038.00 + ,142226.00 + ,141722.00 + ,143269.00 + ,137585.00 + ,143766.00 + ,143269.00 + ,152544.00 + ,150451.00 + ,142226.00 + ,138082.00 + ,143766.00 + ,136038.00 + ,141722.00 + ,142723.00 + ,144816.00 + ,140182.00 + ,142723.00 + ,144270.00 + ,149954.00 + ,145313.00 + ,139132.00 + ,132447.00 + ,138635.00 + ,121625.00 + ,129857.00 + ,134491.00 + ,139132.00 + ,132447.00 + ,132447.00 + ,132447.00 + ,136038.00 + ,130907.00 + ,124173.00 + ,118538.00 + ,122626.00 + ,106666.00 + ,116445.00 + ,122129.00 + ,123172.00 + ,117488.00 + ,117985.00 + ,116445.00 + ,121625.00 + ,117985.00 + ,110810.00 + ,105623.00 + ,114394.00 + ,95347.00 + ,107716.00 + ,113351.00 + ,113351.00 + ,106666.00 + ,100485.00 + ,99988.00 + ,105623.00 + ,100485.00 + ,90713.00 + ,83979.00 + ,91210.00 + ,74207.00 + ,89663.00 + ,97888.00 + ,100485.00 + ,94801.00 + ,87619.00 + ,92757.00 + ,94801.00 + ,93254.00 + ,77791.00 + ,70616.00 + ,75747.00 + ,60291.00 + ,76251.00 + ,81935.00 + ,86569.00 + ,78841.00 + ,71610.00 + ,75747.00 + ,77791.00 + ,73703.00 + ,58247.00 + ,51513.00 + ,57694.00 + ,40691.00 + ,59241.00 + ,70616.00) > 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] 1.0468868 1.0079813 0.9956123 1.0103062 1.0708300 1.0547046 0.9884355 [8] 0.9419146 0.9920160 0.8928823 0.9785894 1.0198410 > postscript(file="/var/wessaorg/rcomp/tmp/1zlw81439734790.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/23ivx1439734790.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/36gcg1439734790.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/474xy1439734790.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/57khq1439734790.tab") > > try(system("convert tmp/1zlw81439734790.ps tmp/1zlw81439734790.png",intern=TRUE)) character(0) > try(system("convert tmp/23ivx1439734790.ps tmp/23ivx1439734790.png",intern=TRUE)) character(0) > try(system("convert tmp/36gcg1439734790.ps tmp/36gcg1439734790.png",intern=TRUE)) character(0) > try(system("convert tmp/474xy1439734790.ps tmp/474xy1439734790.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.825 0.252 2.094