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(2.08,2.09,2.36,2.99,2.75,1.58,1.69,1.3,1.97,1.84,1.96,1.86,2.75,2.62,2.41,3.61,2.03,1.45,1.4,1.3,1.58,2.1,2.27,2.54,2.55,2.05,2.32,2.6,2.1,1.61,1.55,1.12,1.39,2.18,1.94,2.27,2.41,2.2,2.58,2.9,2.12,1.34,1.07,0.86,1,1.54,1.29,1.44,2.6,2.77,3.31,3.2,2.07,1.42,1.43,1.28,1.59,1.68,2.01,2.52,2.74,3.06,2.69,2.32,1.67,1.04,0.98,0.86,0.97,1.3,1.82,1.99,2.7,2.86,2.91,2.56,2.05,1.62,1.26,1.44,1.27,1.64,1.84,2.1,2.79,2.84,2.76,2.67,2.1,1.55,1.42,1.12,1.12,1.41,1.56,1.8) > 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] 0.65223710 0.63491567 0.72390377 0.85723710 0.04503472 -0.53937004 [7] -0.65192956 -0.83490575 -0.61175099 -0.25365575 -0.12645337 0.10473710 > postscript(file="/var/wessaorg/rcomp/tmp/1qfwb1427981249.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/2ivwu1427981249.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/387ti1427981249.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4z62h1427981249.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/5pyfd1427981249.tab") > > try(system("convert tmp/1qfwb1427981249.ps tmp/1qfwb1427981249.png",intern=TRUE)) character(0) > try(system("convert tmp/2ivwu1427981249.ps tmp/2ivwu1427981249.png",intern=TRUE)) character(0) > try(system("convert tmp/387ti1427981249.ps tmp/387ti1427981249.png",intern=TRUE)) character(0) > try(system("convert tmp/4z62h1427981249.ps tmp/4z62h1427981249.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.648 0.268 1.935