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(5250.0,3937.0,4004.0,5560.0,3922.0,3759.0,4138.0,4634.0,3996.0,4308.0,4143.0,4429.0,5219.0,4929.0,5755.0,5592.0,4163.0,4962.0,5208.0,4755.0,4491.0,5732.0,5731.0,5040.0,6102.0,4904.0,5369.0,5578.0,4619.0,4731.0,5011.0,5299.0,4146.0,4625.0,4736.0,4219.0,5116.0,4205.0,4121.0,5103.0,4300.0,4578.0,3809.0,5526.0,4247.0,3830.0,4394.0,4826.0,4409.0,4569.0,4106.0,4794.0,3914.0,3793.0,4405.0,4022.0,4100.0,4788.0,3163.0,3585.0,3903.0)
> par7 = '0.95'
> par6 = 'MA'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1eswv1259176132.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2gigd1259176132.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.37296670 -0.34091537  0.29118146  0.07877424 -0.16452565
 [7] -0.07344967  0.16813823  0.01201566 -0.16857491  0.24966373 -0.07200174
[13] -0.25563303  0.21530705 -0.00958300 -0.08683468 -0.03459632  0.09256612
[19] -0.03341201  0.03656756 -0.05007371 -0.06770491  0.06396174  0.13033320
[25] -0.25294143  0.04279453  0.20539032 -0.04894408 -0.16497832  0.11394202
[31]  0.11679034 -0.20799418  0.03457706  0.14974273 -0.13710935  0.02316026
[37]  0.11324931
> (mypacf <- c(rpacf$acf))
 [1] -0.372966703 -0.557581429 -0.193552896 -0.037223646  0.007112023
 [6] -0.139014183 -0.041890083  0.017652177 -0.058104346  0.282362020
[11]  0.144894067 -0.137825619 -0.090992350 -0.214195075 -0.085406847
[16] -0.144534898 -0.130308281 -0.276306512  0.027009660 -0.034100846
[21] -0.093982493  0.001764119  0.176156564 -0.115225995 -0.090088012
[26] -0.040580667  0.067348551 -0.015148225 -0.012494923  0.004606288
[31] -0.049466895 -0.060423747 -0.065685944 -0.089496279  0.057447632
[36] -0.065272855
> 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/32jgw1259176132.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/47j3a1259176132.tab") 
> system("convert tmp/1eswv1259176132.ps tmp/1eswv1259176132.png")
> system("convert tmp/2gigd1259176132.ps tmp/2gigd1259176132.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.552   0.318   0.910