R version 3.0.2 (2013-09-25) -- "Frisbee Sailing" Copyright (C) 2013 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(11201,7804,8918,7874,8374,9099,7860,8000,7930,9079,8620,2513,13991,10095,11445,8792,8716,9607,7843,7221,8242,8839,6874,2478,11351,6480,6809,5464,4791,5179,4605,3809,5366,4402,4225,1719,7064,4820,6150,4971,4295,5713,4588,4253,5275,5114,5450,2088,9228,6060,7322,6147,6102,5988,5095,4971,5883,6211,6352,2581,9787,6187,7456,5127,5615,6243,5161,5439,4939,5349,4959,3080,7695,4965,6179,5166,5012,5094,4855,4272,4658,5146,5346,6009) > 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] 1.5871599 1.0384855 1.2389562 0.9858644 0.9555238 1.0483710 0.9051411 [8] 0.8698746 0.9912109 1.0155773 0.9651368 0.3986985 > postscript(file="/var/wessaorg/rcomp/tmp/1y4aa1417125510.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/2j8c81417125510.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/37nna1417125510.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4rtgl1417125510.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/544rc1417125510.tab") > > try(system("convert tmp/1y4aa1417125510.ps tmp/1y4aa1417125510.png",intern=TRUE)) character(0) > try(system("convert tmp/2j8c81417125510.ps tmp/2j8c81417125510.png",intern=TRUE)) character(0) > try(system("convert tmp/37nna1417125510.ps tmp/37nna1417125510.png",intern=TRUE)) character(0) > try(system("convert tmp/4rtgl1417125510.ps tmp/4rtgl1417125510.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.669 0.265 1.942