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Type 'q()' to quit R. > x <- c(7263.63 + ,7135.88 + ,7008.00 + ,6752.38 + ,9339.00 + ,9211.13 + ,7263.63 + ,5970.38 + ,6098.13 + ,6098.13 + ,6226.00 + ,6495.50 + ,5714.75 + ,4932.75 + ,4292.38 + ,4292.38 + ,6752.38 + ,7008.00 + ,5060.50 + ,2857.38 + ,4022.88 + ,4022.88 + ,4932.75 + ,5457.88 + ,5330.00 + ,4022.88 + ,4677.13 + ,4420.25 + ,6623.38 + ,6098.13 + ,4022.88 + ,2472.75 + ,3895.00 + ,4292.38 + ,4677.13 + ,5188.38 + ,4150.63 + ,3254.75 + ,3639.50 + ,3767.25 + ,7135.88 + ,7135.88 + ,5188.38 + ,4932.75 + ,5714.75 + ,5330.00 + ,6367.75 + ,7661.00 + ,7917.88 + ,6098.13 + ,5585.63 + ,5060.50 + ,8570.88 + ,8827.75 + ,8173.50 + ,8827.75 + ,8698.63 + ,7661.00 + ,8827.75 + ,10121.00 + ,10646.13 + ,9083.38 + ,8045.63 + ,8827.75 + ,12196.25 + ,13234.00 + ,12978.38 + ,13489.50 + ,13361.75 + ,12068.50 + ,14271.63 + ,14796.75 + ,15564.88 + ,13234.00 + ,12324.13 + ,13361.75 + ,15834.38 + ,18037.50 + ,17512.38 + ,17512.38 + ,17769.25 + ,16872.00 + ,19204.25 + ,19204.25 + ,18806.88 + ,16602.50 + ,16999.88 + ,17256.75 + ,18947.38 + ,21150.50 + ,19587.63 + ,20369.75 + ,19715.50 + ,19332.00 + ,22317.25 + ,21663.00 + ,20753.13 + ,19459.88 + ,20753.13 + ,21407.38 + ,22188.13 + ,23225.75 + ,22188.13 + ,22828.50 + ,22047.63 + ,21919.88 + ,25160.63 + ,25430.13 + ,24392.50 + ,22572.88 + ,24123.00 + ,24776.00 + ,25558.00 + ,26723.50 + ,25558.00 + ,26467.88 + ,26070.50 + ,24648.13 + ,27633.25 + ,27633.25) > 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] 503.3500 -1233.5342 -1289.8658 -1164.9212 943.0526 1594.3461 [7] 192.2590 -260.0945 -181.6449 -758.4070 681.7701 973.6897 > postscript(file="/var/wessaorg/rcomp/tmp/1zcqf1470818360.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/2uhpp1470818360.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/33hgs1470818360.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4qis11470818360.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/5d60u1470818360.tab") > > try(system("convert tmp/1zcqf1470818360.ps tmp/1zcqf1470818360.png",intern=TRUE)) character(0) > try(system("convert tmp/2uhpp1470818360.ps tmp/2uhpp1470818360.png",intern=TRUE)) character(0) > try(system("convert tmp/33hgs1470818360.ps tmp/33hgs1470818360.png",intern=TRUE)) character(0) > try(system("convert tmp/4qis11470818360.ps tmp/4qis11470818360.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 2.082 0.168 2.281