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Type 'q()' to quit R. > x <- c(14724.00 + ,14404.00 + ,14058.00 + ,13427.00 + ,19946.00 + ,19631.00 + ,14724.00 + ,11462.00 + ,11778.00 + ,11778.00 + ,12093.00 + ,12760.00 + ,13742.00 + ,13427.00 + ,11462.00 + ,11778.00 + ,20929.00 + ,22893.00 + ,17666.00 + ,14724.00 + ,15387.00 + ,15707.00 + ,17351.00 + ,18964.00 + ,19315.00 + ,16022.00 + ,16369.00 + ,12093.00 + ,24222.00 + ,27800.00 + ,19631.00 + ,17004.00 + ,18649.00 + ,20613.00 + ,23555.00 + ,27164.00 + ,27164.00 + ,24853.00 + ,23871.00 + ,17982.00 + ,27800.00 + ,32391.00 + ,28462.00 + ,24222.00 + ,24853.00 + ,27164.00 + ,30426.00 + ,34355.00 + ,31724.00 + ,30111.00 + ,30111.00 + ,24853.00 + ,32391.00 + ,37297.00 + ,33373.00 + ,29129.00 + ,30426.00 + ,35653.00 + ,37964.00 + ,41222.00 + ,38595.00 + ,34355.00 + ,33373.00 + ,25520.00 + ,30742.00 + ,36315.00 + ,30111.00 + ,26502.00 + ,30111.00 + ,33689.00 + ,35653.00 + ,40906.00 + ,38280.00 + ,31724.00 + ,32391.00 + ,26186.00 + ,31409.00 + ,36000.00 + ,30742.00 + ,27164.00 + ,30426.00 + ,34355.00 + ,33689.00 + ,41542.00 + ,40244.00 + ,35017.00 + ,35333.00 + ,28462.00 + ,32706.00 + ,39262.00 + ,34355.00 + ,31409.00 + ,36315.00 + ,39262.00 + ,36982.00 + ,47431.00 + ,44835.00 + ,38946.00 + ,37297.00 + ,29764.00 + ,34035.00 + ,37964.00 + ,33053.00 + ,33053.00 + ,38595.00 + ,41542.00 + ,39924.00 + ,51355.00 + ,48413.00 + ,42871.00 + ,40560.00 + ,32391.00 + ,35333.00 + ,40560.00 + ,36631.00 + ,35653.00 + ,40244.00 + ,44168.00 + ,39924.00 + ,50057.00) > 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] 1.1338681 0.9986568 0.9606559 0.7688452 1.0348520 1.1708599 0.9803585 [8] 0.8458040 0.9138574 0.9878752 1.0230285 1.1813385 > postscript(file="/var/wessaorg/rcomp/tmp/1yo111470779169.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/2z1u21470779169.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3l01h1470779169.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4thmz1470779169.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/5wx9q1470779169.tab") > > try(system("convert tmp/1yo111470779169.ps tmp/1yo111470779169.png",intern=TRUE)) character(0) > try(system("convert tmp/2z1u21470779169.ps tmp/2z1u21470779169.png",intern=TRUE)) character(0) > try(system("convert tmp/3l01h1470779169.ps tmp/3l01h1470779169.png",intern=TRUE)) character(0) > try(system("convert tmp/4thmz1470779169.ps tmp/4thmz1470779169.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.062 0.162 2.246