R version 3.0.3 (2014-03-06) -- "Warm Puppy"
Copyright (C) 2014 The R Foundation for Statistical Computing
Platform: i686-pc-linux-gnu (32-bit)

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> x <- c(254,200,165,123,162,145,145,161,155,173,160,47,232,143,161,159,243,192,157,143,221,227,132,41,273,182,188,162,140,186,178,236,202,184,119,16,340,151,240,235,174,309,174,207,209,171,117,10,339,139,186,155,153,222,102,107,188,162,185,24,394,209,248,254,202,258,215,309,240,258,276,48,455,345,311,346,310,297,300,274,292,304,186,14,321,206,160,217,204,246,234,175,364,328,158,40,556,193,221,278,230,253,240,252,228,306,206,48,557,279,399,364,306,471,293,333,316,329,265,61,679,428,394,352,387,590,177,199,203,255,261,115)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = '48'
> par8 <- ''
> par7 <- '0.95'
> par6 <- 'White Noise'
> par5 <- '12'
> par4 <- '1'
> par3 <- '1'
> 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/1kn2r1394890808.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/21utd1394890808.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/3uhv91394890808.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 -0.357435016 -0.175137808  0.140352396  0.032083794
 [6] -0.024258670 -0.125017562  0.177762962 -0.152785118 -0.057479386
[11]  0.087345872  0.085859558 -0.143281264 -0.069698145  0.056165732
[16]  0.140154524 -0.183902207  0.019388700  0.092557498 -0.122123795
[21]  0.120930654 -0.116110722  0.119010586  0.023041125 -0.152320204
[26]  0.119896686  0.001658355 -0.081550263 -0.084148626  0.250302641
[31] -0.163105161 -0.080179112  0.115577729  0.043036301 -0.116469392
[36]  0.029378727  0.056798838  0.018386916 -0.023754158 -0.106972179
[41]  0.201600233 -0.165676711  0.087652939  0.007172833  0.057766801
[46] -0.071961604 -0.020677724  0.069088991 -0.099411914
> (mypacf <- c(rpacf$acf))
 [1] -0.357435016 -0.347263971 -0.088795679  0.005194361  0.043882419
 [6] -0.124928745  0.083402160 -0.134234873 -0.134776660 -0.083624903
[11]  0.094730456 -0.057886333 -0.115638607 -0.188123124  0.094842936
[16] -0.107834303 -0.039169175 -0.058211900 -0.097797910  0.041579319
[21] -0.149429683 -0.012137038  0.134872357 -0.093541222 -0.048128335
[26] -0.044672119 -0.104903911 -0.171964695  0.118096411 -0.143759943
[31] -0.051124043 -0.102824027 -0.028860236 -0.121848789 -0.011365816
[36] -0.112307790  0.059435571 -0.041118079 -0.154874081 -0.076547061
[41] -0.098156073  0.035684144 -0.071445847  0.046864687 -0.020028943
[46] -0.029934997 -0.133457367 -0.110884179
> 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/4y7jt1394890808.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/5hzuj1394890808.tab") 
> 
> try(system("convert tmp/1kn2r1394890808.ps tmp/1kn2r1394890808.png",intern=TRUE))
character(0)
> try(system("convert tmp/21utd1394890808.ps tmp/21utd1394890808.png",intern=TRUE))
character(0)
> try(system("convert tmp/3uhv91394890808.ps tmp/3uhv91394890808.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  2.799   0.585   3.623