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Type 'q()' to quit R. > x <- c(128.6,128.9,129.06,129.23,129.27,129.33,129.35,129.31,129.4,129.49,129.47,129.46,129.45,129.28,129.2,129.25,129.14,129.11,129.02,129.08,128.99,129.11,129.08,129.19,129.23,129.25,129.31,129.33,129.39,129.55,129.43,129.45,129.57,129.76,129.92,130.08,130.41,130.84,131.24,131.49,131.74,132.34,133.5,134.43,136.5,137.41,138.02,138.15,138.24,138.2,138.31,138.65,139.3,139.8,140.52,141.57,141.77,141.66,141.36,141.17) > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '2' > 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/html/rcomp/tmp/1grnc1260543410.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/html/rcomp/tmp/2gb621260543410.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.000000000 -0.214997314 0.182134369 -0.168594177 -0.094107779 [6] -0.230269181 -0.069908922 -0.030697950 0.108168092 -0.013040333 [11] 0.107779794 0.278339280 -0.143218808 0.067266845 -0.198577259 [16] 0.008980471 -0.064488435 0.019827491 0.053147613 0.003773486 [21] -0.052925617 0.045173184 -0.084487648 0.124035834 -0.120366391 [26] 0.016987851 -0.022451738 0.053476786 -0.066682880 0.050702278 [31] -0.024044740 -0.040317299 0.006434668 0.013205796 0.005876021 [36] -0.024023399 0.061374622 > (mypacf <- c(rpacf$acf)) [1] -0.2149973136 0.1424972975 -0.1117060902 -0.1828508540 -0.2658266770 [6] -0.1771744688 -0.0813223839 0.0205856551 -0.1046737593 -0.0625585439 [11] 0.3098317887 -0.0325943328 -0.0210861364 -0.0888030634 0.0401044127 [16] 0.1336493779 0.0295476249 0.0001235477 -0.0900321839 -0.0527525998 [21] -0.0093937335 -0.1634875537 0.1110977721 -0.1057586058 -0.0575401198 [26] -0.0714540901 0.0134247749 -0.0765071919 -0.0720427339 0.0508598433 [31] -0.0932933267 0.0421751671 0.0295645691 -0.1468625131 0.0367218136 [36] 0.0615770065 > 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/30mdf1260543410.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/46znw1260543410.tab") > > system("convert tmp/1grnc1260543410.ps tmp/1grnc1260543410.png") > system("convert tmp/2gb621260543410.ps tmp/2gb621260543410.png") > > > proc.time() user system elapsed 0.552 0.314 0.716