R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(297,296,295,293,291,290,291,293,294,294,295,297,302,297,301,298,295,287,290,288,288,287,274,282,296,292,298,296,292,296,293,295,294,291,279,284,299,296,299,299,291,298,288,284,277,270,251,257,269,271,268,268,258,261,255,251,239,229,210,218,226,227,222,215,203,205,194,190,182,179,158,163,165,169,163,154,142,146,133,131,128,120,88,95)
> par7 = '0.95'
> par6 = 'White Noise'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1ot7s1279961759.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2ot7s1279961759.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.003473570  0.012818263 -0.062487104  0.041324324
 [6] -0.084855898  0.294782405 -0.094632945  0.031998428 -0.108043213
[11] -0.029766880  0.002754804  0.703154228  0.020612696  0.014218876
[16] -0.065288623 -0.033096567 -0.034255424  0.236203137 -0.113774190
[21]  0.007473278 -0.064157360 -0.109981878 -0.005171803  0.492060273
[26]  0.032903203 -0.009104968 -0.082613258 -0.058290738 -0.008420915
[31]  0.127154334 -0.134700304 -0.062381670 -0.055009296 -0.182971944
[36] -0.014350992  0.298426775 -0.029724371 -0.056269379 -0.049356041
[41] -0.069909165 -0.006724859  0.048145526 -0.110987615 -0.097088628
[46] -0.018028515 -0.197784090 -0.018678561  0.127107795
> (mypacf <- c(rpacf$acf))
 [1] -0.003473570  0.012806352 -0.062409654  0.040948471 -0.083637454
 [6]  0.293868476 -0.107509334  0.030955905 -0.084367082 -0.064661039
[11]  0.072988114  0.666600349  0.077991869 -0.040700391 -0.049852921
[16] -0.152131556  0.055808106 -0.039117723 -0.064136030 -0.015337746
[21]  0.111041726 -0.065374570 -0.041927558 -0.015310883 -0.005404203
[26] -0.012694378 -0.067820934  0.033388021  0.004611404 -0.094586357
[31] -0.086959915 -0.136030343  0.003781154 -0.061372597 -0.009870785
[36] -0.059719448 -0.122146302 -0.069185242  0.045145821  0.060903217
[41] -0.047020492 -0.043556053  0.031234940  0.016227006  0.057030251
[46] -0.054412958 -0.025153377 -0.086698991
> 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/38sjp1279961760.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/4tbhd1279961760.tab") 
> 
> try(system("convert tmp/1ot7s1279961759.ps tmp/1ot7s1279961759.png",intern=TRUE))
character(0)
> try(system("convert tmp/2ot7s1279961759.ps tmp/2ot7s1279961759.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.569   0.313   0.837