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(1.9,2,2,1.8,1.6,1.4,0.2,0.3,0.4,0.7,1,1.1,0.8,0.8,1,1.1,1,0.8,1.6,1.5,1.6,1.6,1.6,1.9,2,1.9,2,2.1,2.3,2.3,2.6,2.6,2.7,2.6,2.6,2.4,2.5,2.5,2.5,2.4,2.1,2.1,2.3,2.3,2.3,2.9,2.8,2.9,3,3,2.9,2.6,2.8,2.9,3.1,2.8,2.4,1.6,1.5,1.7,1.4,1.1,0.8,1.2,0.8,0.9,0.9,1,0.9,1.1,1,0.7,0,0.2,0.4,0.6,1.1,1,1,0.8,0.6,0.6,0.7,0.7) > 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] -0.058391204 -0.100752315 -0.088946759 -0.022974537 -0.003530093 [6] -0.015335648 0.024247685 0.016608796 0.006886574 0.059664352 [11] 0.071469907 0.111053241 > postscript(file="/var/wessaorg/rcomp/tmp/1cnai1461607168.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/2hpix1461607168.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$random),na.action=na.pass,lag.max = mylagmax,main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3bhqm1461607168.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > spectrum(as.numeric(x),main='Observed') > spectrum(as.numeric(m$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$random)]),main='Random') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/4phy21461607168.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > cpgram(as.numeric(x),main='Observed') > cpgram(as.numeric(m$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/52dhy1461607168.tab") > > try(system("convert tmp/1cnai1461607168.ps tmp/1cnai1461607168.png",intern=TRUE)) character(0) > try(system("convert tmp/2hpix1461607168.ps tmp/2hpix1461607168.png",intern=TRUE)) character(0) > try(system("convert tmp/3bhqm1461607168.ps tmp/3bhqm1461607168.png",intern=TRUE)) character(0) > try(system("convert tmp/4phy21461607168.ps tmp/4phy21461607168.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 1.628 0.305 1.948