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Type 'q()' to quit R. > x <- c(1.19,1.18,1.18,1.33,1.3,1.25,1.22,1.17,1.18,1.19,1.21,1.21,1.2,1.2,1.29,1.83,1.85,1.54,1.52,1.43,1.4,1.4,1.39,1.37,1.33,1.36,1.34,1.75,1.84,1.73,1.63,1.5,1.45,1.38,1.38,1.27,1.31,1.29,1.32,1.48,1.39,1.45,1.44,1.44,1.42,1.39,1.4,1.39,1.3,1.32,1.35,1.51,1.37,1.25,1.15,1.09,1.09,1.06,1.02,1.01,1,1,1.05,1.3,1.34,1.24,1.22,1.06,1,1,1,1.01) > par7 = '0.95' > par6 = 'MA' > par5 = '12' > par4 = '0' > par3 = '1' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/18fgm1261215813.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2ncua1261215813.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 0.1609465175 -0.1664959999 -0.1314107907 -0.1892863078 [6] -0.0314401898 -0.0412331082 -0.0150141718 -0.1682362937 -0.0909990096 [11] -0.1679600021 -0.0004445519 0.5694455930 0.1772938857 -0.0284237782 [16] -0.0675741870 -0.1268601063 -0.0371637518 -0.0211748912 -0.0084635070 [21] -0.1070309910 -0.0471596721 -0.0275919936 0.1062866072 0.2923625151 [26] -0.0288496904 -0.0476875119 -0.0472130752 -0.0614220437 -0.0285875755 [31] -0.0392052996 -0.0119969070 -0.0741440166 -0.0726381845 -0.0460402414 [36] 0.1593354982 0.3277301197 > (mypacf <- c(rpacf$acf)) [1] 0.160946518 -0.197516198 -0.072141743 -0.198439066 -0.003865200 [6] -0.128584255 -0.034339879 -0.266776806 -0.076530630 -0.351053267 [11] -0.064268052 0.426915317 -0.072129262 0.055772077 -0.000612607 [16] 0.014829544 -0.019965714 0.005014726 -0.037707567 0.023051848 [21] -0.013876343 0.180937216 0.232022768 -0.009335495 -0.152076667 [26] 0.024527241 -0.039675561 0.020953738 -0.044813904 -0.020765362 [31] 0.007578881 0.002686886 -0.073781101 -0.091308408 -0.071508144 [36] 0.127227205 > 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/34yb71261215813.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/4ogud1261215813.tab") > > try(system("convert tmp/18fgm1261215813.ps tmp/18fgm1261215813.png",intern=TRUE)) character(0) > try(system("convert tmp/2ncua1261215813.ps tmp/2ncua1261215813.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.553 0.324 1.513