R version 3.2.5 (2016-04-14) -- "Very, Very Secure Dishes" Copyright (C) 2016 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(8.9,9.2,12.8,11.1,11.2,13.1,12.6,10,12.3,12.5,11.4,11.5,10.4,11,15,12.7,11.6,13.9,12.6,11.2,15.8,15.3,14,14.6,11.5,12.8,16.2,12.8,13.5,12.5,13.2,12,14.2,17.5,13.8,13.9,11.3,12.1,16.2,11.6,12.5,15.6,12.3,12,12.1,13.9,12.3,10.5,14.2,13.2,13.7,14.2,15.3,16.3,15.1,13.4,14,15.5,12.5,12.9,12.9,13.4,15,14.4,14,15.2,15,12.4,18.7,20.6,17.3,11.4) > 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] -1.2556250 -0.8556250 1.7910417 -0.4097917 -0.2864583 0.9852083 [7] 0.1410417 -1.3672917 0.5393750 1.7535417 -0.4372917 -0.5981250 > postscript(file="/var/wessaorg/rcomp/tmp/12m4o1461506671.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/2k35f1461506671.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3jp2q1461506671.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4mp6d1461506671.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/51q7p1461506671.tab") > > try(system("convert tmp/12m4o1461506671.ps tmp/12m4o1461506671.png",intern=TRUE)) character(0) > try(system("convert tmp/2k35f1461506671.ps tmp/2k35f1461506671.png",intern=TRUE)) character(0) > try(system("convert tmp/3jp2q1461506671.ps tmp/3jp2q1461506671.png",intern=TRUE)) character(0) > try(system("convert tmp/4mp6d1461506671.ps tmp/4mp6d1461506671.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.522 0.268 1.806