R version 2.7.0 (2008-04-22)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(7.8,7.6,7.5,7.6,7.5,7.3,7.6,7.5,7.6,7.9,7.9,8.1,8.2,8,7.5,6.8,6.5,6.6,7.6,8,8,7.7,7.5,7.6,7.7,7.9,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.1,7.9,7.3,6.9,6.6,6.7,6.9,7,7.1,7.2,7.1,6.9,7,6.8,6.4,6.7,6.7,6.4,6.3,6.2,6.5)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1dqxo1228763930.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2gwlz1228763930.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.344337934 -0.022233223 -0.298514245 -0.413015769
 [6] -0.147362555 -0.027241255  0.061893584 -0.058681441 -0.099604629
[11] -0.034802478 -0.044545782  0.251049405  0.105367997  0.184870341
[16]  0.084566108 -0.051482805 -0.084823788 -0.103928794  0.011086123
[21] -0.065620431 -0.040895650 -0.103907812 -0.228273940 -0.006218405
[26] -0.015188014  0.195184736  0.253139691  0.136123660  0.092376488
[31] -0.080655018 -0.112990198 -0.166099072 -0.105861719 -0.071233649
[36] -0.036837688  0.123593089  0.042592532 -0.022702029 -0.007106842
[41]  0.021176933  0.092826279  0.066874078  0.001579517 -0.097951021
[46] -0.017945776 -0.027456971 -0.052171262  0.053984854
> (mypacf <- c(rpacf$acf))
 [1]  0.34433793 -0.15974225 -0.27316274 -0.26910576  0.05251269 -0.11238631
 [7] -0.09454950 -0.25709016 -0.11119686 -0.06905038 -0.19193649  0.16394709
[13] -0.20671540  0.20043790 -0.02417575  0.10185162 -0.07014412  0.15413796
[19]  0.09354062 -0.03899808  0.06557347 -0.14207498 -0.09060768 -0.09220357
[25] -0.10010976 -0.06761097  0.04026425 -0.08810646  0.07831096 -0.06413465
[31] -0.03365957 -0.04463432 -0.05477280 -0.07853654  0.06003410  0.08773624
[37]  0.02426783 -0.13490426  0.04459820  0.03842667 -0.03617323 -0.03957404
[43] -0.15264077  0.00990862  0.01053985 -0.06911338 -0.15253123  0.06401165
> 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/3crdl1228763930.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/42hit1228763930.tab") 
> 
> system("convert tmp/1dqxo1228763930.ps tmp/1dqxo1228763930.png")
> system("convert tmp/2gwlz1228763930.ps tmp/2gwlz1228763930.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.531   0.542   1.612