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Type 'q()' to quit R. > x <- c(206010 + ,198112 + ,194519 + ,185705 + ,180173 + ,176142 + ,203401 + ,221902 + ,197378 + ,185001 + ,176356 + ,180449 + ,180144 + ,173666 + ,165688 + ,161570 + ,156145 + ,153730 + ,182698 + ,200765 + ,176512 + ,166618 + ,158644 + ,159585 + ,163095 + ,159044 + ,155511 + ,153745 + ,150569 + ,150605 + ,179612 + ,194690 + ,189917 + ,184128 + ,175335 + ,179566 + ,181140 + ,177876 + ,175041 + ,169292 + ,166070 + ,166972 + ,206348 + ,215706 + ,202108 + ,195411 + ,193111 + ,195198 + ,198770 + ,194163 + ,190420 + ,189733 + ,186029 + ,191531 + ,232571 + ,243477 + ,227247 + ,217859 + ,208679 + ,213188 + ,216234 + ,213586 + ,209465 + ,204045 + ,200237 + ,203666 + ,241476 + ,260307 + ,243324 + ,244460 + ,233575 + ,237217 + ,235243 + ,230354 + ,227184 + ,221678 + ,217142 + ,219452 + ,256446 + ,265845 + ,248624 + ,241114 + ,229245 + ,231805 + ,219277 + ,219313 + ,212610 + ,214771 + ,211142 + ,211457 + ,240048 + ,240636 + ,230580 + ,208795 + ,197922 + ,194596 + ,194581 + ,185686 + ,178106 + ,172608 + ,167302 + ,168053 + ,202300 + ,202388 + ,182516 + ,173476 + ,166444 + ,171297 + ,169701 + ,164182 + ,161914 + ,159612 + ,151001 + ,158114 + ,186530 + ,187069 + ,174330 + ,169362 + ,166827 + ,178037 + ,186413 + ,189226 + ,191563 + ,188906 + ,186005 + ,195309 + ,223532 + ,226899 + ,214126 + ,206903 + ,204442 + ,220375 + ,214320 + ,212588 + ,205816 + ,202196 + ,195722 + ,198563 + ,229139 + ,229527 + ,211868 + ,203555 + ,195770) > par8 = '' > par7 = '0.95' > par6 = 'MA' > par5 = '12' > par4 = '1' > par3 = '1' > par2 = '1' > par1 = '36' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Dr. Ian E. Holliday > #To cite this work: Ian E. Holliday, 2009, YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par8 != '') par8 <- as.numeric(par8) > ox <- x > if (par8 == '') { + if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } + } else { + x <- log(x,base=par8) + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/11ex71293446685.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > op <- par(mfrow=c(2,1)) > plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value') > if (par8=='') { + mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='') + mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='') + } else { + mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='') + mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='') + } > plot(x,type='l', main=mytitle,xlab='time',ylab='value') > par(op) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2cnxa1293446685.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/3cnxa1293446685.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub) > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 -0.0259972565 0.2264643143 0.0158917373 0.1656989844 [6] 0.1295846453 0.0380047288 0.0962917241 -0.0003087821 0.1624353813 [11] -0.0027522086 0.1049686858 -0.2754309005 0.0550590790 0.0841486544 [16] -0.0412285910 -0.0555641446 -0.1035545779 0.0561799458 -0.0186409761 [21] 0.0144436408 -0.0382419965 -0.0733103903 -0.0931166987 -0.1483123026 [26] -0.0258431262 -0.1953394694 -0.0779957824 -0.0687606548 -0.0719684259 [31] -0.1591707175 -0.1238966585 -0.0637947148 0.0280184310 -0.0469658417 [36] 0.0807562910 -0.0218620169 > (mypacf <- c(rpacf$acf)) [1] -0.025997256 0.225941161 0.027757634 0.121938131 0.136598922 [6] -0.014492610 0.042226445 -0.024637406 0.105033426 -0.008121689 [11] 0.036179915 -0.310452630 -0.028368120 0.189975448 -0.062509025 [16] -0.083487952 -0.032327897 0.037746148 0.044502952 0.011221355 [21] 0.045845345 -0.084000325 -0.121265674 -0.259603528 0.012246158 [26] 0.016614000 -0.110375795 -0.041531421 -0.031712599 -0.078490117 [31] -0.015488077 0.042193561 0.216183652 0.004624982 0.098383501 [36] -0.061732321 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/html/rcomp/createtable") > > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Autocorrelation Function',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Time lag k',header=TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE) > a<-table.element(a,'T-STAT',header=TRUE) > a<-table.element(a,'P-value',header=TRUE) > a<-table.row.end(a) > for (i in 2:(par1+1)) { + a<-table.row.start(a) + a<-table.element(a,i-1,header=TRUE) + a<-table.element(a,round(myacf[i],6)) + mytstat <- myacf[i]*sqrtn + a<-table.element(a,round(mytstat,4)) + a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/48xc11293446685.tab") > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Partial Autocorrelation Function',4,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'Time lag k',header=TRUE) > a<-table.element(a,hyperlink('http://www.xycoon.com/basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE) > a<-table.element(a,'T-STAT',header=TRUE) > a<-table.element(a,'P-value',header=TRUE) > a<-table.row.end(a) > for (i in 1:par1) { + a<-table.row.start(a) + a<-table.element(a,i,header=TRUE) + a<-table.element(a,round(mypacf[i],6)) + mytstat <- mypacf[i]*sqrtn + a<-table.element(a,round(mytstat,4)) + a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6)) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/5j6bm1293446685.tab") > > try(system("convert tmp/11ex71293446685.ps tmp/11ex71293446685.png",intern=TRUE)) character(0) > try(system("convert tmp/2cnxa1293446685.ps tmp/2cnxa1293446685.png",intern=TRUE)) character(0) > try(system("convert tmp/3cnxa1293446685.ps tmp/3cnxa1293446685.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.721 0.491 1.560