R version 3.0.1 (2013-05-16) -- "Good Sport"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(910,910,970,950,980,860,920,950,900,950,950,940,860,810,870,960,970,860,850,910,970,980,970,1000,910,740,810,1050,920,830,880,910,880,960,900,1110,870,720,780,970,1020,830,820,920,840,920,920,1150,820,760,760,960,1010,790,820,880,820,870,870,1230,760,810,850,990,940,850,860,860,780,880,850,1220,850,800,840,1090,810,870,810,860,800,870,860,1220,820,860,750,1020,780,830,860,850,820,790,1020,1230,760,880,760,1090,840,900,930,820,780,870,990,1270)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> par8 <- ''
> par7 <- '0.95'
> par6 <- 'White Noise'
> par5 <- '12'
> par4 <- '0'
> par3 <- '0'
> par2 <- '1'
> par1 <- '48'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), (Partial) Autocorrelation Function (v1.0.11) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_autocorrelation.wasp/
> #Source of accompanying publication: 
> #
> 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/fisher/rcomp/tmp/1mndr1377051055.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/fisher/rcomp/tmp/2jhkl1377051055.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/fisher/rcomp/tmp/37ikt1377051055.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]  1.000000000 -0.030576755 -0.205845877 -0.316247167  0.186807862
 [6] -0.004252587 -0.064827318  0.066951288  0.233971313 -0.349633246
[11] -0.243984502 -0.033588933  0.789500423 -0.016239167 -0.159289268
[16] -0.268617468  0.188504070 -0.094553684 -0.058524035  0.104901001
[21]  0.214953015 -0.322309058 -0.279085275  0.007299991  0.615380515
[26] -0.034159419 -0.090149258 -0.222073336  0.149374360 -0.124801986
[31] -0.046378378  0.145544528  0.181574177 -0.251861654 -0.309509652
[36]  0.037577253  0.474534694 -0.038700716 -0.045374198 -0.152082064
[41]  0.107894667 -0.128254943 -0.022620063  0.172466653  0.115459182
[46] -0.208019656 -0.289945259  0.019579361  0.344127231
> (mypacf <- c(rpacf$acf))
 [1] -0.03057675 -0.20697432 -0.34527248  0.11487058 -0.14187379 -0.14314247
 [7]  0.15721708  0.17841801 -0.43586208 -0.14480137 -0.06723007  0.65651955
[13]  0.02382215  0.01331617 -0.04778397  0.11889136 -0.06959184 -0.02145038
[19] -0.01782197 -0.14017367  0.02607157 -0.06424509  0.08410079 -0.07592926
[25] -0.02868356  0.05678203 -0.02990886 -0.08556145  0.06004880  0.00589009
[31] -0.01034769 -0.02793078  0.11969742 -0.12397371  0.05209484 -0.01402417
[37] -0.02840944 -0.00488268  0.02725519 -0.01537181  0.04006293  0.06766229
[43] -0.01779124 -0.08687293 -0.03463484  0.02099534 -0.12861612 -0.04130990
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/fisher/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/fisher/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/fisher/rcomp/tmp/46stl1377051056.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/fisher/rcomp/tmp/5yksw1377051056.tab") 
> 
> try(system("convert tmp/1mndr1377051055.ps tmp/1mndr1377051055.png",intern=TRUE))
character(0)
> try(system("convert tmp/2jhkl1377051055.ps tmp/2jhkl1377051055.png",intern=TRUE))
character(0)
> try(system("convert tmp/37ikt1377051055.ps tmp/37ikt1377051055.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.807   0.391   2.180