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 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1suo21229948270.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2t8er1229948270.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.033100705 -0.371453286 -0.283765081  0.060574185
 [6]  0.212382724  0.010062018 -0.303880542 -0.005670860  0.243785587
[11]  0.331190918 -0.037317927 -0.516769730 -0.025619154  0.208731851
[16]  0.018588847 -0.069719724 -0.034165092  0.012966136  0.214107801
[21] -0.121835241 -0.135578375 -0.064735283  0.049535952  0.084956219
[26] -0.023464652 -0.117812570  0.120053138  0.058985279 -0.018072001
[31] -0.060017616 -0.058697741  0.118894711  0.042092018 -0.092162269
[36] -0.035427489  0.007948593  0.044938808  0.070522151 -0.057600854
[41] -0.022965561 -0.008187982  0.013180548  0.030376694 -0.031447852
[46]  0.011369556 -0.001977556
> (mypacf <- c(rpacf$acf))
 [1]  0.033100705 -0.372957576 -0.295989450 -0.103996235 -0.004452692
 [6] -0.090754126 -0.309171105 -0.027265746  0.043447132  0.278542827
[11]  0.171431649 -0.271734597  0.145021881 -0.060164124 -0.217169589
[16] -0.035597065  0.073806726 -0.113449473 -0.037859065 -0.220817983
[21] -0.040029341  0.055998710 -0.058700084 -0.165770109  0.040333536
[26] -0.095642331 -0.118890791 -0.013446873  0.040068859 -0.010095148
[31]  0.067954047  0.021240510 -0.014570805  0.054155081 -0.033049470
[36] -0.129518745  0.007857879 -0.084842615 -0.045917103 -0.028964611
[41] -0.134593140 -0.101240447  0.051827446 -0.040868277  0.054288526
[46] -0.047795432
> 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/39hk11229948271.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/4607e1229948271.tab") 
> 
> system("convert tmp/1suo21229948270.ps tmp/1suo21229948270.png")
> system("convert tmp/2t8er1229948270.ps tmp/2t8er1229948270.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.596   0.302   0.845