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(9.0,9.1,8.7,8.2,7.9,7.9,9.1,9.4,9.5,9.1,9.0,9.3,9.9,9.8,9.4,8.3,8.0,8.5,10.4,11.1,10.9,9.9,9.2,9.2,9.5,9.6,9.5,9.1,8.9,9.0,10.1,10.3,10.2,9.6,9.2,9.3,9.4,9.4,9.2,9.0,9.0,9.0,9.8,10.0,9.9,9.3,9.0,9.0,9.1,9.1,9.1,9.2,8.8,8.3,8.4,8.1,7.8,7.9,7.9,8.0,7.9,7.5,7.2,6.9,6.6,6.7,7.3,7.5)
> par5 = '12'
> par4 = '1'
> par3 = '2'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1bcr71229536523.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2gyhz1229536523.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.175960800 -0.104937029 -0.473813928 -0.355384538
 [6] -0.123876169  0.108580994  0.212318454  0.217295096  0.109739034
[11] -0.067481501 -0.031539676 -0.203843733 -0.091480875  0.092099028
[16]  0.006825246  0.075802348  0.013069609  0.037338394 -0.039108730
[21] -0.100432654 -0.032749362  0.001179869  0.061100303  0.090774337
[26]  0.091352026  0.029424324 -0.151303873 -0.161249171 -0.137785424
[31]  0.089467749  0.063249198  0.276874241  0.098101134  0.013632390
[36] -0.198291000 -0.274738123 -0.057950435  0.036126578  0.182732271
[41]  0.140930500  0.068336054 -0.112737159 -0.005578290 -0.106262785
[46] -0.064570695  0.014181860  0.033131648  0.091844526
> (mypacf <- c(rpacf$acf))
 [1]  0.175960800 -0.140241416 -0.450623181 -0.285572244 -0.207145324
 [6] -0.218243726 -0.191991322 -0.096606233 -0.047559185 -0.093843040
[11]  0.137164705 -0.075664309 -0.015356319  0.237657095 -0.087508005
[16]  0.002676231  0.061520418  0.025584015 -0.074608097 -0.140893159
[21] -0.016462134 -0.164825889 -0.080494805  0.024367018 -0.018843940
[26]  0.198544958 -0.035284457 -0.028136262 -0.026526088  0.023906565
[31] -0.195650824  0.040829615  0.068400795  0.016831319 -0.031480658
[36] -0.075734680  0.079331768 -0.004694477 -0.032602569 -0.042624231
[41] -0.014574447 -0.093139937  0.040669924 -0.095024571 -0.057555017
[46]  0.016278987 -0.019812015 -0.081234936
> 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/3v9tm1229536523.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/4fyev1229536524.tab") 
> 
> system("convert tmp/1bcr71229536523.ps tmp/1bcr71229536523.png")
> system("convert tmp/2gyhz1229536523.ps tmp/2gyhz1229536523.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.589   0.328   0.695