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Type 'q()' to quit R. > x <- c(228768.00 + ,227916.00 + ,227052.00 + ,225264.00 + ,242952.00 + ,242016.00 + ,228768.00 + ,219960.00 + ,220812.00 + ,220812.00 + ,221760.00 + ,223464.00 + ,226116.00 + ,226116.00 + ,224412.00 + ,219960.00 + ,242952.00 + ,246456.00 + ,241164.00 + ,228768.00 + ,234072.00 + ,226116.00 + ,229704.00 + ,231420.00 + ,233208.00 + ,228768.00 + ,229704.00 + ,223464.00 + ,242952.00 + ,249108.00 + ,243816.00 + ,234072.00 + ,244668.00 + ,233208.00 + ,243816.00 + ,242952.00 + ,245604.00 + ,235860.00 + ,246456.00 + ,245604.00 + ,261504.00 + ,257916.00 + ,243816.00 + ,236712.00 + ,246456.00 + ,233208.00 + ,242952.00 + ,244668.00 + ,248256.00 + ,240312.00 + ,244668.00 + ,247320.00 + ,257064.00 + ,249108.00 + ,238512.00 + ,227052.00 + ,237660.00 + ,208500.00 + ,222612.00 + ,230556.00 + ,238512.00 + ,227052.00 + ,227052.00 + ,227052.00 + ,233208.00 + ,224412.00 + ,212868.00 + ,203208.00 + ,210216.00 + ,182856.00 + ,199620.00 + ,209364.00 + ,211152.00 + ,201408.00 + ,202260.00 + ,199620.00 + ,208500.00 + ,202260.00 + ,189960.00 + ,181068.00 + ,196104.00 + ,163452.00 + ,184656.00 + ,194316.00 + ,194316.00 + ,182856.00 + ,172260.00 + ,171408.00 + ,181068.00 + ,172260.00 + ,155508.00 + ,143964.00 + ,156360.00 + ,127212.00 + ,153708.00 + ,167808.00 + ,172260.00 + ,162516.00 + ,150204.00 + ,159012.00 + ,162516.00 + ,159864.00 + ,133356.00 + ,121056.00 + ,129852.00 + ,103356.00 + ,130716.00 + ,140460.00 + ,148404.00 + ,135156.00 + ,122760.00 + ,129852.00 + ,133356.00 + ,126348.00 + ,99852.00 + ,88308.00 + ,98904.00 + ,69756.00 + ,101556.00 + ,121056.00) > par2 = '12' > par1 = 'additive' > par2 <- '12' > par1 <- 'additive' > #'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] 7938.3287 501.9954 -576.1157 1078.2731 13426.1065 10524.7176 [7] -1164.3380 -10574.8380 -735.8935 -19531.3380 -4046.2269 3159.3287 > postscript(file="/var/wessaorg/rcomp/tmp/14y8x1438182060.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/2ja9m1438182060.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/35fr51438182060.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4salq1438182060.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/5fnxr1438182060.tab") > > try(system("convert tmp/14y8x1438182060.ps tmp/14y8x1438182060.png",intern=TRUE)) character(0) > try(system("convert tmp/2ja9m1438182060.ps tmp/2ja9m1438182060.png",intern=TRUE)) character(0) > try(system("convert tmp/35fr51438182060.ps tmp/35fr51438182060.png",intern=TRUE)) character(0) > try(system("convert tmp/4salq1438182060.ps tmp/4salq1438182060.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.042 0.279 2.338