R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(517,540,454,292,445,483,545,355,370,372,422,445,471,413,307,308,389,377,521,420,413,384,466,434,263,334,334,416,309,334,350,337,277,439,433,455,372,409,471,382,417,405,410,357,360,329,359,393,448,593,535,449,742,631,513,526,677,631,547,533,433,427,470,418,485,464,439,452,423,537,384,380)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1cj1i1244396168.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2zs571244396168.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.566718203  0.362598150  0.346861060  0.413315597
 [6]  0.313851941  0.209627998  0.181222088  0.071837729 -0.012717238
[11]  0.020098496  0.041234879  0.068970457 -0.016284017 -0.016032279
[16]  0.063255593  0.080853822  0.112549147 -0.021028836 -0.045878521
[21] -0.113157590 -0.088472413 -0.084925681 -0.157594944 -0.264635564
[26] -0.230792307 -0.232268085 -0.210448117 -0.249649992 -0.117787887
[31] -0.120350796 -0.117428156 -0.151357922 -0.138089433 -0.046521219
[36] -0.119050381 -0.078711545 -0.106452609 -0.109783656 -0.099743838
[41] -0.092049812 -0.125745301 -0.124344632 -0.115472829 -0.082450695
[46] -0.116297430 -0.007564017  0.015313382 -0.013137781
> (mypacf <- c(rpacf$acf))
 [1]  0.566718203  0.061029418  0.176436829  0.220372964 -0.038311283
 [6] -0.033316636  0.002856632 -0.181576728 -0.095397135  0.064501026
[11]  0.015846545  0.137385067 -0.044253807  0.011352650  0.110233871
[16] -0.021208626  0.079641546 -0.209305068 -0.084426605 -0.158816661
[21] -0.023254821  0.006663433 -0.059234452 -0.115569837  0.110295659
[26] -0.073576205  0.009064432 -0.054320380  0.127403406  0.008977681
[31]  0.012363601 -0.153387207 -0.113737062  0.059442622 -0.101398556
[36]  0.125430228 -0.072619365 -0.004752293  0.085454659  0.011448029
[41] -0.108366213 -0.007168428 -0.047661543 -0.044096300 -0.034837870
[46]  0.019725419  0.077043843 -0.066051019
> 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/3li871244396168.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/43jm01244396168.tab") 
> 
> system("convert tmp/1cj1i1244396168.ps tmp/1cj1i1244396168.png")
> system("convert tmp/2zs571244396168.ps tmp/2zs571244396168.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.582   0.319   0.699