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(467,460,448,443,436,431,484,510,513,503,471,471,476,475,470,461,455,456,517,525,523,519,509,512,519,517,510,509,501,507,569,580,578,565,547,555,562,561,555,544,537,543,594,611,613,611,594,595,591,589,584,573,567,569,621,629,628,612,595,597)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '1'
> par1 = '60'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1q8rp1229907239.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2fjeo1229907239.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.136806142 -0.136036589 -0.273490605  0.023597200
 [6]  0.130229206  0.012444045  0.010768885  0.168899606  0.267776354
[11] -0.079478785 -0.172199715 -0.332167767  0.085626100  0.230587156
[16]  0.113030371  0.001078306 -0.108789832  0.050635018 -0.022026915
[21] -0.112892293 -0.009219656  0.104387324  0.261851949 -0.015891343
[26] -0.180436424 -0.277030225  0.047576849  0.021113412  0.066521705
[31] -0.077279252 -0.030614893  0.033643908 -0.100460598 -0.091011959
[36] -0.179041672  0.037115502  0.035183419  0.089993177 -0.077682554
[41] -0.039858237 -0.022749497 -0.006363947 -0.051792081 -0.039593418
[46]  0.004083025  0.003159602
> (mypacf <- c(rpacf$acf))
 [1]  0.136806142 -0.157704086 -0.240751556  0.081204451  0.057722904
 [6] -0.075803601  0.072767857  0.226672719  0.233392476 -0.111300822
[11] -0.008944208 -0.272224856  0.021342241  0.096896978 -0.032212588
[16]  0.061553405 -0.061160307  0.078370800  0.018259386 -0.054980591
[21]  0.154565619 -0.079025705  0.182580576 -0.142498786 -0.079045197
[26] -0.141668249 -0.026690905 -0.073562970 -0.045875807 -0.057305857
[31] -0.045513203 -0.061132098  0.060226309  0.005453451 -0.020518734
[36] -0.082226716 -0.102494946 -0.001319806 -0.020365624  0.052354967
[41]  0.019252472 -0.019726809 -0.031531467  0.018640431 -0.053702881
[46] -0.050052707
> 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/3d7861229907239.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/4x7ev1229907239.tab") 
> 
> system("convert tmp/1q8rp1229907239.ps tmp/1q8rp1229907239.png")
> system("convert tmp/2fjeo1229907239.ps tmp/2fjeo1229907239.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.584   0.318   0.880