R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(3595,3914,4159,3676,3794,3446,3504,3958,3353,3480,3098,2944,3389,3497,4404,3849,3734,3060,3507,3287,3215,3764,2734,2837,2766,3851,3289,3848,3348,3682,4058,3655,3811,3341,3032,3475,3353,3186,3902,4164,3499,4145,3796,3711,3949,3740,3243,4407,4814,3908,5250,3937,4004,5560,3922,3759,4138,4634,3996,4308,4142,4429,5219,4929,5754,5592,4163,4962,5208,4755,4491,5732,5730,5024,6056,4901,5353,5578,4618,4724,5011,5298,4143,4617,4736,4214,5112,4197,4119,5104,4194,4583,3790,5557,4304,3838,4277,4951,4479,4677,4274,4782)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '-0.1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/18yq91228680257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2r1p71228680257.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.480519547 -0.059710310  0.159582505 -0.132643390
 [6]  0.009126256  0.067898080 -0.010133984 -0.194528859  0.247774347
[11] -0.138039334 -0.101651641  0.328287745 -0.215017240  0.061392543
[16]  0.076853875 -0.158914140  0.041344461  0.117258177 -0.132621140
[21] -0.032190895  0.091010952 -0.105628804  0.059635847  0.095917198
[26] -0.109012959  0.051732418  0.027229957 -0.115307333  0.114536887
[31] -0.019939274 -0.161670652  0.122537582  0.022964345 -0.004268069
[36] -0.096542343  0.169626314
> (mypacf <- c(rpacf$acf))
 [1] -0.480519547 -0.377855910 -0.093309187 -0.141453222 -0.131891060
 [6] -0.050200085  0.026053129 -0.257789813 -0.020382623 -0.107689827
[11] -0.243235647  0.110289584  0.038140579  0.122156253  0.158138680
[16] -0.019990723 -0.007879658  0.080049686 -0.018783534  0.003283342
[21] -0.079426565 -0.087304640 -0.009574227 -0.018418550  0.017456332
[26]  0.023099317 -0.036212912 -0.071385515  0.023738194 -0.032001165
[31] -0.178376096 -0.126458517 -0.031795468  0.171020408 -0.097127468
[36]  0.052795588
> 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/3ou4m1228680257.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/43lwb1228680257.tab") 
> 
> system("convert tmp/18yq91228680257.ps tmp/18yq91228680257.png")
> system("convert tmp/2r1p71228680257.ps tmp/2r1p71228680257.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.550   0.312   0.638