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Type 'q()' to quit R. > x <- c(-45.6 + ,16.1 + ,23.9 + ,39.3 + ,-39.4 + ,-0.3 + ,17.3 + ,17.7 + ,31.4 + ,-28.6 + ,-17.2 + ,-79 + ,-47.9 + ,9.1 + ,10.6 + ,-23.9 + ,-45 + ,-42.2 + ,43.2 + ,32.1 + ,-15.3 + ,21.8 + ,-12 + ,-95.8 + ,-14.3 + ,47.8 + ,64.8 + ,40.2 + ,-28.8 + ,23.5 + ,70.3 + ,12.3 + ,43.5 + ,-30.1 + ,-5.3 + ,-24 + ,11.1 + ,21.5 + ,38.5 + ,16.8 + ,-36.2 + ,6 + ,26.6 + ,-8 + ,13.2 + ,-23.6 + ,19.4 + ,-46.2 + ,-8.2 + ,33.8 + ,16.6 + ,5.4 + ,-25 + ,-5.3 + ,16.7 + ,19 + ,24.8 + ,-11.4 + ,4.9 + ,-58.7 + ,16.8 + ,13.6 + ,6.4 + ,22.8 + ,-19.6 + ,2.2 + ,19.8 + ,-10.7 + ,4.7 + ,-44.5 + ,-34.7 + ,-119.7 + ,-42.2 + ,-5.4 + ,19.1 + ,18.8 + ,-2.3 + ,0.2 + ,20.9 + ,3.7 + ,50.4 + ,-18.6 + ,10.6 + ,-66 + ,10 + ,27.2 + ,13.5 + ,47.2 + ,-20.3 + ,23.1 + ,12.6 + ,19.8 + ,5.4 + ,-25.2 + ,-6.5 + ,-46.5 + ,-2.6 + ,-0.3 + ,38.5 + ,-8.9 + ,-38 + ,19.5 + ,51.7 + ,19.4 + ,18.2 + ,-50.8 + ,-6.1 + ,-54.6 + ,12.1 + ,26.3 + ,19.5 + ,-0.8 + ,-49.6 + ,28.8 + ,31.7 + ,2.3 + ,3.8 + ,-66.2 + ,-20.5 + ,-113.2 + ,-65.2 + ,-3.9 + ,9.1 + ,23.2 + ,-39.1 + ,12.5 + ,49.1 + ,54.9 + ,30.8 + ,-3.5 + ,-28.3 + ,-61 + ,-2 + ,40 + ,74 + ,23.1 + ,-45.3 + ,17.5 + ,25.8 + ,15.2 + ,-3.6 + ,-40.5 + ,11.5 + ,-59.8 + ,23.3 + ,-27.8 + ,55.7 + ,22.7 + ,-79.2 + ,28.8 + ,17.3 + ,39.6 + ,-22.2 + ,-43 + ,-50.3 + ,-86.5 + ,-31.9 + ,23.1 + ,53.6 + ,21.6 + ,-64.2 + ,35.2 + ,52.1 + ,40.6 + ,17.1 + ,-7.8 + ,-10 + ,-58 + ,14 + ,15.8 + ,46 + ,-8.9 + ,-26.7 + ,39 + ,-1.3 + ,38.7 + ,22.1 + ,-49.2 + ,-3.4 + ,-86.7 + ,-24.3 + ,42.8 + ,44.9 + ,4.4 + ,-60.5 + ,41.4 + ,38.5 + ,28.5 + ,7.6 + ,-46.4 + ,7 + ,-73 + ,5.7 + ,23.6 + ,39.4 + ,30.3 + ,-92.5 + ,77.8 + ,12.4 + ,28.9 + ,6.4 + ,-12 + ,-9.1 + ,-53.2 + ,-23.1 + ,47.3 + ,20.7 + ,27.8 + ,-84.3 + ,62.8 + ,26.4 + ,32.3 + ,13.3 + ,-17.9 + ,10 + ,-45.6 + ,13.5 + ,11.9 + ,26 + ,-6.3 + ,-79.9 + ,54.2 + ,22.9 + ,31.8 + ,3.8 + ,-11.4 + ,-8.6 + ,-49.4 + ,-2.5 + ,23 + ,29 + ,20.6 + ,-117 + ,37.9 + ,30.7 + ,4.7 + ,-5.7 + ,4.9 + ,18.3 + ,-35.4 + ,-21.3 + ,35.8 + ,43.8 + ,18.7 + ,-131.1 + ,39.8 + ,44.5 + ,16.5 + ,9.7 + ,-6.6 + ,15.8 + ,-45.7 + ,-4.8 + ,17.6 + ,20.5 + ,24.2 + ,-109 + ,20.8 + ,31.2 + ,-8.8 + ,11.8 + ,13 + ,8.3 + ,-77.9 + ,-38.8 + ,6.1 + ,18.1 + ,16.8 + ,-128.5 + ,15.9 + ,29 + ,-7.2 + ,3.3 + ,-34.8 + ,-2.9 + ,-77.8 + ,-2.8 + ,26.7 + ,48.1 + ,30 + ,-109.6 + ,16 + ,26.9 + ,22.1 + ,27 + ,-24.5 + ,12 + ,-75.2 + ,3.5 + ,19.7 + ,51.8 + ,35.3 + ,-108.2 + ,25.3 + ,31.6 + ,19.9 + ,18.8 + ,20.4 + ,15 + ,-55.9 + ,-17 + ,33.3 + ,33.8 + ,37.5 + ,-104.8 + ,29.7 + ,34.2 + ,4.3 + ,40.2 + ,-29.3 + ,-0.2 + ,-95 + ,-13.2 + ,38.5 + ,45.4 + ,15.7 + ,-123.6 + ,12 + ,37.5 + ,-31.7 + ,15.8 + ,-64.1 + ,-42.1 + ,-207.4 + ,-12.9 + ,-5 + ,53.9 + ,19.7 + ,-94.6 + ,36 + ,51.3 + ,17.4 + ,27.8 + ,1.3 + ,3.6 + ,-97.9 + ,14.1 + ,50.8 + ,63.5 + ,58.6 + ,-135.1 + ,7.8 + ,25.5 + ,29.6 + ,19.3 + ,-26.2 + ,7.3 + ,-82.6 + ,-26.1 + ,55.3 + ,98.8 + ,41.7 + ,-130.2 + ,51.2 + ,18.4 + ,32 + ,21.6 + ,-12.5 + ,46.6 + ,-101.7 + ,15.8 + ,26 + ,79.1 + ,23.1 + ,-86.9 + ,-11.2 + ,50.7 + ,13.4 + ,33.7 + ,-16.9 + ,-9.6) > par3 = 'multiplicative' > par2 = 'Triple' > par1 = '12' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: Wessa P., (2010), Exponential Smoothing (v1.0.4) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_exponentialsmoothing.wasp/ > #Source of accompanying publication: > #Technical description: > par1 <- as.numeric(par1) > if (par2 == 'Single') K <- 1 > if (par2 == 'Double') K <- 2 > if (par2 == 'Triple') K <- par1 > nx <- length(x) > nxmK <- nx - K > x <- ts(x, frequency = par1) > if (par2 == 'Single') fit <- HoltWinters(x, gamma=F, beta=F) > if (par2 == 'Double') fit <- HoltWinters(x, gamma=F) > if (par2 == 'Triple') fit <- HoltWinters(x, seasonal=par3) > fit Holt-Winters exponential smoothing with trend and multiplicative seasonal component. Call: HoltWinters(x = x, seasonal = par3) Smoothing parameters: alpha: 0.3 beta : 0.1 gamma: 0.1 Coefficients: [,1] a 1.8666854 b -0.6753179 s1 -23.1186801 s2 -2.6925621 s3 13.2605715 s4 3.1049587 s5 1.6219834 s6 -5.7872074 s7 2.8492221 s8 3.7805787 s9 2.6237833 s10 -10.5447577 s11 -6.4670652 s12 5.4026213 > myresid <- x - fit$fitted[,'xhat'] > postscript(file="/var/wessaorg/rcomp/tmp/1a7sb1322155774.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow=c(2,1)) > plot(fit,ylab='Observed (black) / Fitted (red)',main='Interpolation Fit of Exponential Smoothing') > plot(myresid,ylab='Residuals',main='Interpolation Prediction Errors') > par(op) > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/2s3041322155774.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > p <- predict(fit, par1, prediction.interval=TRUE) > np <- length(p[,1]) > plot(fit,p,ylab='Observed (black) / Fitted (red)',main='Extrapolation Fit of Exponential Smoothing') > dev.off() null device 1 > postscript(file="/var/wessaorg/rcomp/tmp/3lt1t1322155774.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow = c(2,2)) > acf(as.numeric(myresid),lag.max = nx/2,main='Residual ACF') > spectrum(myresid,main='Residals Periodogram') > cpgram(myresid,main='Residal Cumulative Periodogram') > qqnorm(myresid,main='Residual Normal QQ Plot') > qqline(myresid) > 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,'Estimated Parameters of Exponential Smoothing',2,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Parameter',header=TRUE) > a<-table.element(a,'Value',header=TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'alpha',header=TRUE) > a<-table.element(a,fit$alpha) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'beta',header=TRUE) > a<-table.element(a,fit$beta) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'gamma',header=TRUE) > a<-table.element(a,fit$gamma) > a<-table.row.end(a) > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/4iuof1322155774.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Interpolation Forecasts of Exponential Smoothing',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'t',header=TRUE) > a<-table.element(a,'Observed',header=TRUE) > a<-table.element(a,'Fitted',header=TRUE) > a<-table.element(a,'Residuals',header=TRUE) > a<-table.row.end(a) > for (i in 1:nxmK) { + a<-table.row.start(a) + a<-table.element(a,i+K,header=TRUE) + a<-table.element(a,x[i+K]) + a<-table.element(a,fit$fitted[i,'xhat']) + a<-table.element(a,myresid[i]) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/57u9y1322155774.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Extrapolation Forecasts of Exponential Smoothing',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'t',header=TRUE) > a<-table.element(a,'Forecast',header=TRUE) > a<-table.element(a,'95% Lower Bound',header=TRUE) > a<-table.element(a,'95% Upper Bound',header=TRUE) > a<-table.row.end(a) > for (i in 1:np) { + a<-table.row.start(a) + a<-table.element(a,nx+i,header=TRUE) + a<-table.element(a,p[i,'fit']) + a<-table.element(a,p[i,'lwr']) + a<-table.element(a,p[i,'upr']) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/wessaorg/rcomp/tmp/67eq41322155774.tab") > > try(system("convert tmp/1a7sb1322155774.ps tmp/1a7sb1322155774.png",intern=TRUE)) character(0) > try(system("convert tmp/2s3041322155774.ps tmp/2s3041322155774.png",intern=TRUE)) character(0) > try(system("convert tmp/3lt1t1322155774.ps tmp/3lt1t1322155774.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 3.046 0.169 3.259