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(2291180,1971664,2193270,2197733,2345324,2195121,2170583,2241521,2154945,2912568,2392562,3336621,4080642,3735329,4018383,4171360,3855698,4101316,4199346,3959646,3960841,4784025,4105467,5929558,4048642,3828808,4268127,4171816,4004783,4295447,3968177,3918480,4040260,4530715,4103330,6025506,4632308,4133863,4519182,4151573,4486595,4504699,4180443,4222193,4373727,4734738,4403232,5903985,4414074,4061816,4504697,3994176,4114925,4485120,4171230,4476075,4179369,4823185,4585751,6110454,4279575,3782118,4098678,4065616,4413733,4481214,4345018,4294488,4361269,4535031,4318397,6040168)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1ckft1242196887.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2n6ic1242196887.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.463380601  0.062846583  0.059889135 -0.146237042
 [6] -0.012261193  0.154153014 -0.072672934 -0.080775592  0.109886235
[11] -0.033926704 -0.369510480  0.692130160 -0.437462050  0.149689260
[16]  0.015626683 -0.172398648  0.041530431  0.096793222 -0.045414387
[21] -0.047910725  0.060588438 -0.053255450 -0.198002784  0.509841450
[26] -0.353296300  0.121005984 -0.002431634 -0.118657381  0.042015661
[31]  0.033303420 -0.042603249  0.023920166  0.012900382 -0.049811440
[36] -0.146423165  0.348098632 -0.237594250  0.125173951 -0.050708109
[41] -0.075558244  0.048419457  0.007135134 -0.019239733  0.001848810
[46]  0.027083772 -0.025452858 -0.073319079  0.128190787
> (mypacf <- c(rpacf$acf))
 [1] -0.463380601 -0.193402741  0.006646595 -0.129905261 -0.183129285
 [6]  0.069489731  0.071718539 -0.124566960 -0.028067794  0.069724339
[11] -0.478240282  0.458892216  0.005724545 -0.003305717 -0.063366726
[16] -0.073204747 -0.008374623 -0.084993681  0.052383685 -0.013230700
[21] -0.157098039 -0.067235115  0.102359119  0.107718098  0.078507541
[26] -0.135329427 -0.039924321  0.065754266 -0.044713477 -0.063967143
[31] -0.106383157  0.049741961 -0.057115835 -0.014571452 -0.001234872
[36] -0.063814687 -0.025009594  0.047991157 -0.019721748 -0.022867917
[41] -0.041746598 -0.046172076  0.020452745 -0.106370989  0.065382299
[46] -0.026757505  0.029404885 -0.239751059
> 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/3nu0s1242196887.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/4s2t01242196887.tab") 
> 
> system("convert tmp/1ckft1242196887.ps tmp/1ckft1242196887.png")
> system("convert tmp/2n6ic1242196887.ps tmp/2n6ic1242196887.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.556   0.310   1.110