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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Type 'contributors()' for more information and
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> x <- c(7.8,7.6,7.5,7.6,7.5,7.3,7.6,7.5,7.6,7.9,7.9,8.1,8.2,8.0,7.5,6.8,6.5,6.6,7.6,8.0,8.0,7.7,7.5,7.6,7.7,7.9,7.8,7.5,7.5,7.1,7.5,7.5,7.6,7.7,7.7,7.9,8.1,8.2,8.2,8.1,7.9,7.3,6.9,6.6,6.7,6.9,7.0,7.1,7.2,7.1,6.9,7.0,6.8,6.4,6.7,6.7,6.4,6.3,6.2,6.5,6.8,6.8,6.5,6.3,5.9,5.9,6.4,6.4)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '2.0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/12omd1229006308.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2j36i1229006308.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.36416749 -0.03778766 -0.31745560 -0.45642804 -0.16051908
 [7]  0.04349483  0.08098868 -0.07052104 -0.08735374 -0.07238037 -0.02245409
[13]  0.28212272  0.08452960  0.16334258  0.08498365 -0.07321129 -0.12028104
[19] -0.12434071 -0.01283645 -0.03944685  0.02880188 -0.04088988 -0.17660869
[25] -0.01048937 -0.04285563  0.14649497  0.19986303  0.11078152  0.07058337
[31] -0.03582514 -0.11846074 -0.17735114 -0.09847140 -0.07601376  0.02940113
[37]  0.16395772  0.01985014 -0.03552972 -0.06760670  0.01217986  0.13133242
[43]  0.15119742  0.02002218 -0.18257882 -0.15137197 -0.11098753  0.02247711
[49]  0.21179521
> (mypacf <- c(rpacf$acf))
 [1]  0.364167487 -0.196459707 -0.275147710 -0.308732946  0.071100930
 [6] -0.046160964 -0.155168542 -0.311395893 -0.037754932 -0.089177713
[11] -0.170146219  0.163131752 -0.265108854  0.246627458  0.001671941
[16]  0.070837542 -0.147708842  0.136550433  0.120668227 -0.045803273
[21] -0.001418187 -0.075236474 -0.068611316 -0.068490692 -0.069175432
[26] -0.091340925  0.019569592 -0.059088643  0.106384440 -0.059692864
[31] -0.113962318 -0.013568563 -0.060825849 -0.084764275  0.087358822
[36]  0.022787892 -0.042697485 -0.152421453  0.017283002  0.085376650
[41] -0.054649304  0.004639195 -0.123077419 -0.078719667  0.016779490
[46] -0.041142981 -0.117913927  0.097073319
> 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/386gw1229006308.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/44fvo1229006308.tab") 
> 
> system("convert tmp/12omd1229006308.ps tmp/12omd1229006308.png")
> system("convert tmp/2j36i1229006308.ps tmp/2j36i1229006308.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.546   0.328   0.685