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(3.253,3.233,3.196,3.138,3.091,3.17,3.378,3.468,3.33,3.413,3.356,3.525,3.633,3.597,3.6,3.522,3.503,3.532,3.686,3.748,3.672,3.843,3.905,3.999,4.07,4.084,4.042,3.951,3.933,3.958,4.147,4.221,4.058,4.057,4.089,4.268,4.309,4.303,4.177,4.117,4.065,3.983,4.091,4.067,4.024,3.868,3.8,3.804,3.862,3.792,3.674,3.56,3.489,3.412,3.674,3.672,3.463,3.429,3.4,3.533)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/147j31228241344.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/295og1228241344.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.93222046  0.84359379  0.76827378  0.71419921  0.67174709
 [7]  0.60763112  0.52481434  0.43247421  0.34791028  0.29001955  0.24270831
[13]  0.20050863  0.12080116  0.02595354 -0.05524556 -0.11984168 -0.17130572
[19] -0.22878589 -0.29299862 -0.36366274 -0.42046588 -0.43992584 -0.42779013
[25] -0.41249958 -0.42857911 -0.45527276 -0.47166909 -0.46657735 -0.44992830
[31] -0.44017429 -0.43301440 -0.42304767 -0.40900388 -0.38543253 -0.33958470
[37] -0.27681993
> (mypacf <- c(rpacf$acf))
 [1]  0.932220461 -0.194259505  0.080798126  0.089856114  0.024018277
 [6] -0.196841819 -0.107867229 -0.108354695 -0.032341688  0.087219242
[11] -0.008695611  0.042311524 -0.300039797 -0.073530270 -0.025339218
[16] -0.057962151 -0.063397060 -0.056347849 -0.018884147 -0.111904122
[21]  0.036921019  0.109310395  0.145299980 -0.054307211 -0.165777074
[26] -0.002675443 -0.074903614 -0.021939894 -0.072556027 -0.013846798
[31]  0.040479674  0.082657452 -0.021028733 -0.094860729  0.070612891
[36]  0.071368398
> 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/3p1es1228241344.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/4bpml1228241344.tab") 
> 
> system("convert tmp/147j31228241344.ps tmp/147j31228241344.png")
> system("convert tmp/295og1228241344.ps tmp/295og1228241344.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.543   0.303   0.745