R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(721.8,836.7,817.8,804.3,773.3,789.6,882.5,868.9,885.7,880.6,846.2,875.4,799.6,946.3,987.3,892.4,885.1,937.1,935.9,944.2,930.9,874.0,891.9,902.2,767.0,912.5,918.6,713.4,849.9,875.9,1010.9,1049.2,900.5,1111.6,898.2,1034.3,996.7,1188.9,1092.5,952.0,959.1,846.1,903.0,1089.5,879.9,1057.0,932.6,745.5,817.2,808.3,832.9,801.2,773.1,710.8,820.4,814.9,833.5,864.3,844.9,733.6)
> par5 = '12'
> par4 = '2'
> par3 = '0'
> par2 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1rlf71196246084.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2hc9e1196246084.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.611109002  0.595700911  0.432145508  0.219578516
 [6]  0.170739279  0.096827028 -0.017013541 -0.150728462 -0.348096455
[11] -0.446676797 -0.494912021 -0.551612152 -0.316116868 -0.367566025
[16] -0.196970972 -0.204592828 -0.160643229 -0.090652240 -0.047437605
[21]  0.095733936  0.125917227  0.125943382  0.182957238  0.101547534
[26]  0.048168515  0.101117880  0.002985891  0.036100303  0.032499989
[31] -0.014620810 -0.001840962 -0.028616027 -0.025549463 -0.010327947
[36] -0.005097734
> (mypacf <- c(rpacf$acf))
 [1]  0.611109002  0.354717410 -0.035662967 -0.281873126  0.008845061
 [6]  0.113646303 -0.115620367 -0.322081714 -0.385467749 -0.104103389
[11]  0.130423529 -0.115884068  0.262077194 -0.059616915  0.117582626
[16] -0.145792655 -0.030478207 -0.061947134 -0.162666996 -0.011030534
[21] -0.156269857 -0.116624699  0.129696762  0.028102441 -0.007761234
[26] -0.083560871  0.011318261 -0.109907339  0.089172227 -0.086153182
[31] -0.026119676  0.043262351 -0.083000428  0.010957227  0.004206609
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 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 1:par1) {
+ 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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3b9lq1196246084.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-1,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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4ruz21196246084.tab") 
> 
> system("convert tmp/1rlf71196246084.ps tmp/1rlf71196246084.png")
> system("convert tmp/2hc9e1196246084.ps tmp/2hc9e1196246084.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.912   0.329   1.055