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(2400,4700,3700,2900,2800,3000,3100,3700,3000,2000,1900,1900,1800,3400,3800,2800,3100,2100,2000,2500,2400,2500,3300,3100,3700,5600,3700,2900,4000,2900,2400,3300,3800,4400,4000,3100,2700,5200,4600,3700,3200,2400,2200,3200,3100,2300,2500,2900,2700,5000,3500,3000,3800,2800,2400,2700,2800,2700,2600,3100)
> par5 = '12'
> par4 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1lijy1229948767.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2u4jm1229948767.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.617493041  0.198576896  0.080808977  0.176548365
 [6]  0.234166667  0.109133612 -0.028175017  0.060340988  0.167917537
[11]  0.111631872 -0.182774878 -0.452630480 -0.320127001 -0.156851079
[16] -0.184744259 -0.228754349 -0.209424148 -0.165250522 -0.135836813
[21] -0.259638135 -0.288199374 -0.206656228 -0.090144398 -0.019582463
[26] -0.033696938 -0.023907446  0.090203549  0.113750870  0.068613431
[31]  0.042912317  0.065040014  0.131969381  0.102239040  0.017978427
[36]  0.001880654  0.033423800  0.064194502  0.056134308 -0.016936326
[41] -0.036123869 -0.014246695  0.010532359  0.021532707 -0.007028532
[46] -0.007489562 -0.006259569 -0.002545233
> (mypacf <- c(rpacf$acf))
 [1]  0.617493041 -0.295329024  0.184756906  0.149246689  0.028363278
 [6] -0.121297321 -0.007030113  0.205912927 -0.039982303 -0.080845403
[11] -0.333141213 -0.254449870  0.191345365 -0.216887934 -0.090352103
[16]  0.143233888 -0.013242098 -0.199013245 -0.004476417 -0.083898633
[21]  0.109792040 -0.054174796 -0.139648676 -0.028738718  0.118881445
[26] -0.084272385 -0.001098158  0.100382232  0.015245467 -0.089445241
[31] -0.028457886 -0.091149760 -0.066851266 -0.057781001 -0.134954700
[36] -0.038154667  0.072899550 -0.078985513 -0.038531151  0.007447731
[41] -0.010583311  0.048328540  0.067380036 -0.098177225  0.019838039
[46] -0.090936466  0.008739177
> 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/36o121229948768.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/4gwtf1229948768.tab") 
> 
> system("convert tmp/1lijy1229948767.ps tmp/1lijy1229948767.png")
> system("convert tmp/2u4jm1229948767.ps tmp/2u4jm1229948767.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.593   0.331   0.762