R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(324,336,327,302,299,311,315,264,278,278,287,279,324,354,354,360,363,385,412,370,389,395,417,404,456,478,468,437,432,441,449,386,396,394,403,373,409,430,415,392,401,400,447,392,427,444,448,427,480,490,482,490,485,498,544,483,508,529,547,543,608,638,661,650,654,678,725,644,670,662,641,642)
> 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/wessaorg/rcomp/tmp/1tvty1413638682.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/wessaorg/rcomp/tmp/2f5h21413638682.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/wessaorg/rcomp/tmp/3ury01413638682.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  0.941946373  0.899037478  0.852185442  0.799175098
 [6]  0.730868132  0.654835564  0.588432253  0.531364147  0.457800833
[11]  0.386657314  0.329273710  0.290149387  0.230410212  0.189345903
[16]  0.155820148  0.132404163  0.102670832  0.068320821  0.049412288
[21]  0.039538464  0.013021526 -0.004853669 -0.015656876 -0.015242202
[26] -0.028461220 -0.032207325 -0.032934398 -0.030075902 -0.031266964
[31] -0.040289224 -0.034758253 -0.030924901 -0.037547054 -0.044249723
[36] -0.050002733 -0.048140542 -0.057777625 -0.066756170 -0.073949314
[41] -0.084884487 -0.101171174 -0.130447080 -0.151445378 -0.174989461
[46] -0.203833607 -0.234965936 -0.266540454 -0.293135212
> (mypacf <- c(rpacf$acf))
 [1]  0.941946373  0.104442242 -0.041183329 -0.087179112 -0.182113764
 [6] -0.149806333  0.025323967  0.093235288 -0.131018276 -0.059118022
[11]  0.058064935  0.145310725 -0.165903211  0.092258400  0.029406401
[16]  0.005658479 -0.057931147 -0.069119010  0.036550391  0.026670798
[21] -0.092255897  0.039543320  0.031304338  0.038370668 -0.043697532
[26]  0.067327951 -0.004755984 -0.056385561  0.013610451 -0.046095686
[31]  0.040775136 -0.043452803 -0.010685894 -0.038222082 -0.016499525
[36]  0.027792170 -0.006327251  0.001346298 -0.032636945 -0.086775495
[41] -0.038592077 -0.106673018 -0.030766632 -0.030377514 -0.008620031
[46] -0.049723678 -0.047629681 -0.029155570
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/4cogd1413638682.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/wessaorg/rcomp/tmp/5ylp21413638682.tab") 
> 
> try(system("convert tmp/1tvty1413638682.ps tmp/1tvty1413638682.png",intern=TRUE))
character(0)
> try(system("convert tmp/2f5h21413638682.ps tmp/2f5h21413638682.png",intern=TRUE))
character(0)
> try(system("convert tmp/3ury01413638682.ps tmp/3ury01413638682.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.159   0.192   1.360