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Type 'q()' to quit R. > x <- c(-3.5527136788005E-14 + ,0.016941797155665 + ,1.1546319456102E-14 + ,1.1546319456102E-14 + ,-0.016941797155689 + ,0.016941797155665 + ,1.1546319456102E-14 + ,1.1546319456102E-14 + ,1.1546319456102E-14 + ,1.1546319456102E-14 + ,1.1546319456102E-14 + ,-0.016941797155689 + ,-3.5527136788005E-14 + ,-3.5527136788005E-14 + ,-3.5527136788005E-14 + ,0.016941797155665 + ,0.012632696758011 + ,2.6645352591004E-14 + ,-0.016271545440073 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,0.016271545440057 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,-0.016271545440073 + ,-4.2632564145606E-14 + ,0.016271545440057 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,-0.016271545440073 + ,0.016271545440057 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,-0.016271545440073 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,0.016271545440057 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,-0.016271545440073 + ,0.016271545440057 + ,2.6645352591004E-14 + ,-0.016271545440073 + ,0.016271545440057 + ,2.6645352591004E-14 + ,-0.016271545440073 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,0.016271545440057 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,2.6645352591004E-14 + ,-0.016271545440073 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,-4.2632564145606E-14 + ,0.0088466041402575 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-0.015934778323936 + ,2.6201263381154E-14 + ,0.015934778323926 + ,-3.5971225997855E-14 + ,-0.015934778323936 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,0.015934778323926 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-0.015934778323936 + ,2.6201263381154E-14 + ,0.015934778323926 + ,-0.015934778323936 + ,0.015934778323926 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-0.015934778323936 + ,0.015934778323926 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-0.015934778323936 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,0.015934778323926 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-3.5971225997855E-14 + ,-0.015934778323936 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,2.6201263381154E-14 + ,-0.0057530937646737 + ,-1.7763568394003E-14 + ,0.016025984015882 + ,3.7303493627405E-14 + ,3.7303493627405E-14 + ,-0.016025984015863 + ,0.016025984015882 + ,3.7303493627405E-14 + ,3.7303493627405E-14 + ,3.7303493627405E-14 + ,-0.016025984015863 + ,-1.7763568394003E-14 + ,0.016025984015882 + ,3.7303493627405E-14 + ,3.7303493627405E-14 + ,-0.016025984015863 + ,-1.7763568394003E-14 + ,0.016025984015882 + ,3.7303493627405E-14 + ,-0.016025984015863 + ,-0.0036994261844177 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,0.016768510513714 + ,-2.5757174171304E-14 + ,-0.016768510513725 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,0.016768510513714 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-0.016768510513725 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,0.016768510513714 + ,-2.5757174171304E-14 + ,-0.016768510513725 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,0.016768510513714 + ,-2.5757174171304E-14 + ,-0.016768510513725 + ,0.016768510513714 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-0.016768510513725 + ,0.016768510513714 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-0.016768510513725 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,0.016768510513714 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-2.5757174171304E-14 + ,-0.016768510513725 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14 + ,1.4210854715202E-14) > par7 = '0.95' > par6 = 'White Noise' > par5 = '12' > par4 = '0' > par3 = '0' > par2 = '1' > par1 = 'Default' > #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: > if (par1 == 'Default') { + par1 = 10*log10(length(x)) + } else { + par1 <- as.numeric(par1) + } > par2 <- as.numeric(par2) > par3 <- as.numeric(par3) > par4 <- as.numeric(par4) > par5 <- as.numeric(par5) > if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma' > par7 <- as.numeric(par7) > if (par2 == 0) { + x <- log(x) + } else { + x <- (x ^ par2 - 1) / par2 + } > if (par3 > 0) x <- diff(x,lag=1,difference=par3) > if (par4 > 0) x <- diff(x,lag=par5,difference=par4) > postscript(file="/var/www/rcomp/tmp/1w10d1290438187.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')) > dev.off() null device 1 > postscript(file="/var/www/rcomp/tmp/2pszg1290438187.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF') > dev.off() null device 1 > (myacf <- c(racf$acf)) [1] 1.0000000000 -0.1594448627 -0.2145222272 -0.1649127610 -0.0380840667 [6] 0.1765900570 -0.0283136037 -0.0283439666 -0.0079765337 -0.0841099815 [11] 0.0006971418 0.0282068329 -0.0156086887 0.0586833099 -0.0101433232 [16] -0.0011857759 0.0930096972 -0.0141773103 -0.0674115937 -0.0187674646 [21] -0.0043026098 -0.0030517979 0.0162473919 -0.0199720440 > (mypacf <- c(rpacf$acf)) [1] -0.159444863 -0.246204054 -0.269572865 -0.222723985 -0.002781257 [6] -0.108524912 -0.064284115 -0.025761027 -0.129150377 -0.121006353 [11] -0.083934766 -0.136769735 -0.052839559 -0.051520146 -0.041471619 [16] 0.090910667 0.064759849 -0.015706217 0.016165289 -0.005032922 [21] -0.071835097 -0.017326914 -0.030981994 > lengthx <- length(x) > sqrtn <- sqrt(lengthx) > > #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab > load(file="/var/www/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/rcomp/tmp/3atgm1290438187.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/rcomp/tmp/4vbws1290438187.tab") > > try(system("convert tmp/1w10d1290438187.ps tmp/1w10d1290438187.png",intern=TRUE)) character(0) > try(system("convert tmp/2pszg1290438187.ps tmp/2pszg1290438187.png",intern=TRUE)) character(0) > > > proc.time() user system elapsed 0.800 0.470 1.235