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Type 'q()' to quit R. > x <- c(19915,19843,19761,20858,21968,23061,22661,22269,21857,21568,21274,20987,19683,19381,19071,20772,22485,24181,23479,22782,22067,21489,20903,20330,19736,19483,19242,20334,21423,22523,21986,21462,20908,20575,20237,19904,19610,19251,18941,20450,21946,23409,22741,22069,21539,21189,20960,20704,19697,19598,19456,20316,21083,22158,21469,20892,20578,20233,19947,20049) > par7 = '0.95' > par6 = 'MA' > par5 = '12' > par4 = '1' > par3 = '0' > par2 = '1' > par1 = '36' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/10d4z1260981611.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2gyey1260981611.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.00000000 0.87593448 0.65429873 0.43744915 0.27271988 0.14184915 [7] 0.02692036 -0.08272197 -0.18457041 -0.28895486 -0.43746531 -0.59785857 [13] -0.69172810 -0.65698244 -0.54984475 -0.43158609 -0.34521245 -0.27123091 [19] -0.18244968 -0.06714042 0.03644417 0.12924783 0.23049884 0.33866116 [25] 0.40083276 0.39905528 0.33536119 0.25628279 0.21043476 0.18550440 [31] 0.14654556 0.08312608 0.03108475 -0.01591448 -0.06282911 -0.12034451 [37] -0.16598744 > (mypacf <- c(rpacf$acf)) [1] 0.8759344765 -0.4853616364 0.0635120830 0.0343431769 -0.1275053409 [6] -0.0703837738 -0.0949823659 -0.0896218091 -0.1792796448 -0.4067214287 [11] -0.1623791153 0.0361414075 0.1688005707 -0.1479286136 -0.0806623191 [16] -0.1240429687 -0.0104219358 0.0120537184 0.0904643416 -0.1260465990 [21] -0.0429897281 -0.0889913843 0.0110097719 -0.1328770883 0.0415295604 [26] -0.2018132004 -0.0671816272 -0.0243687206 -0.0007338077 -0.0646381432 [31] -0.0105068773 0.0098037163 -0.0340149285 -0.0248606964 0.0113235076 [36] -0.0222714642 > 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/3lnd51260981611.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/4gp0n1260981611.tab") > > try(system("convert tmp/10d4z1260981611.ps tmp/10d4z1260981611.png",intern=TRUE)) character(0) > try(system("convert tmp/2gyey1260981611.ps tmp/2gyey1260981611.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.556 0.329 0.664