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(61.5,88.5,93.3,89.2,101.3,97,102.2,100.3,78.2,105.9,119.9,108,77,93.1,109.5,100.4,99,113.9,102.1,101.6,84,110.7,111.6,110.7,73.1,87.5,109.6,99.3,92.1,109.3,94.5,91.4,82.9,103.3,96,104.8,65.8,78.7,100.3,85,94.5,97.9,91.9,87.2,84.4,99.2,105.4,110.9,69.8,86.8,106.7,88.8,96.9,108.1,93.7,94.8,79.8,95.6,107.9,104.9,61.9,85.7,92.4,86.4,99.3,95.5,97,102.1,77.8,105.5,113.2,108.8,66.9,89.3,93.6,92,99.5,98.6,94.6,96.7,75.3,102.5,115.1,104.7,71.4)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/14kxj1228249384.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/2bl661228249384.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.595440951 -0.002026490  0.357942253 -0.225372986
 [6] -0.082764816  0.318604774 -0.269097022 -0.004941112  0.228271557
[11] -0.287119110  0.145228830 -0.015999607 -0.075265168  0.008877553
[16]  0.109656831 -0.174069094  0.087585578  0.085173581 -0.133893583
[21]  0.044062859  0.130177870 -0.250573391  0.301732009 -0.165097562
[26] -0.066812157  0.140967702 -0.038737252 -0.121385814  0.201023916
[31] -0.186781472  0.022512559  0.137221298 -0.194209021  0.079215008
[36]  0.051688257 -0.091308494
> (mypacf <- c(rpacf$acf))
 [1] -0.595440951 -0.552446161  0.060473331  0.287697205  0.026987317
 [6]  0.149016760  0.027014301 -0.162518159 -0.066186087 -0.181329307
[11] -0.006447772 -0.117913006 -0.050240953 -0.090447943  0.074916179
[16]  0.071831680 -0.023706250  0.108223848  0.128857096 -0.031916632
[21]  0.058644415 -0.242840773  0.194426968  0.005515520 -0.085644209
[26] -0.224628848 -0.099477215  0.043317908  0.154557401 -0.014288714
[31]  0.017599631 -0.041493560  0.015030154 -0.139896403  0.020561371
[36] -0.016099756
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/31ixl1228249384.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/freestat/rcomp/tmp/4qlzm1228249384.tab") 
> 
> system("convert tmp/14kxj1228249384.ps tmp/14kxj1228249384.png")
> system("convert tmp/2bl661228249384.ps tmp/2bl661228249384.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.762   0.416   0.835