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(72.5,72.0,98.8,75.2,81.2,88.0,54.6,68.6,101.5,93.4,84.5,91.4,64.5,64.5,117.3,73.5,79.7,102.6,57.9,73.1,102.4,82.3,89.1,84.7,81.4,67.5,113.9,83.8,73.9,103.9,67.9,62.5,125.4,79.1,106.3,96.2,94.3,85.6,117.4,88.5,124.2,119.3,76.8,70.6,122.1,109.5,119.9,102.3,79.6,78.2,103.6,77.8,99.1,105.7,84.1,88.7,108.0,98.1,101.0,82.0)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '-1.6'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/18u491229685380.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2wah71229685380.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000e+00 -5.452043e-01  5.490461e-02  1.839961e-01 -3.327609e-01
 [6]  2.811669e-01 -7.973452e-02 -1.574841e-01  2.674217e-01 -4.139150e-01
[11]  4.864390e-01 -2.172271e-01 -1.222205e-01  3.445440e-01 -4.127255e-01
[16]  2.418702e-01  3.478627e-02 -2.072925e-01  2.438879e-01 -1.584625e-01
[21]  3.803739e-02  8.178614e-02 -1.212156e-01  1.883523e-01 -2.466784e-01
[26]  1.159969e-01  3.166398e-02 -9.614419e-02  1.008675e-01 -6.207744e-02
[31] -2.887757e-02  1.283890e-01 -9.815731e-02  4.487936e-02 -9.244022e-02
[36]  4.951814e-03  2.646731e-02  7.112067e-03  1.634291e-02 -2.704175e-02
[41]  1.479489e-02  5.136588e-02 -5.833630e-02 -4.994601e-05  1.670956e-03
[46] -1.319358e-02 -4.555416e-04
> (mypacf <- c(rpacf$acf))
 [1] -0.545204311 -0.344848601  0.058529204 -0.248075935 -0.018457578
 [6]  0.033081997 -0.149056007  0.028008477 -0.367648191  0.256585024
[11]  0.038335814 -0.052770174  0.128859261 -0.132508617  0.016560428
[16] -0.074004742  0.128943333 -0.051269558  0.179053250 -0.061075925
[21] -0.034404558  0.197785450 -0.020509290  0.029125908 -0.073490312
[26] -0.016105885  0.051889306 -0.070485537 -0.011540459 -0.020061289
[31]  0.114498722 -0.049288640 -0.029488744 -0.091597735 -0.201111189
[36] -0.068636006 -0.060673359  0.013637696 -0.013231578 -0.011067265
[41]  0.033430645 -0.071051861 -0.051986170 -0.045785025  0.068263929
[46]  0.002174052
> 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/3qemy1229685380.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/4v3xf1229685380.tab") 
> 
> system("convert tmp/18u491229685380.ps tmp/18u491229685380.png")
> system("convert tmp/2wah71229685380.ps tmp/2wah71229685380.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.572   0.294   0.798