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(101.76,101.76,101.76,101.76,101.76,101.76,101.76,101.76,101.76,103.36,103.36,103.36,104.85,104.85,104.85,104.85,104.85,104.85,104.85,104.85,104.85,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,107.35,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,109.47,111.29,111.29)
> par5 = '12'
> par4 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/freestat/rcomp/tmp/1a6301230124194.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/freestat/rcomp/tmp/24ag21230124194.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.11963140 -0.09981614  0.03901704 -0.10490684 -0.10745219
 [7] -0.10999754 -0.11254289 -0.11508823  0.12292804 -0.10052125 -0.10306660
[13]  0.69302782 -0.08985109 -0.06635001 -0.06889536 -0.07144071 -0.07398606
[19] -0.07653141 -0.07907675 -0.08162210  0.13387422 -0.05599768 -0.05854303
[25]  0.40989663 -0.06363372 -0.03546395 -0.03800930 -0.04055465 -0.04310000
[31] -0.04564535 -0.04819069 -0.05073604  0.13358311 -0.02978032 -0.01401945
[37]  0.15612575
> (mypacf <- c(rpacf$acf))
 [1] -0.1196314023 -0.1157848887  0.0121769606 -0.1128135193 -0.1353965242
 [6] -0.1777414539 -0.1986480419 -0.2487544514 -0.0381085071 -0.2456251288
[11] -0.3405982336  0.5598457660 -0.0213720327 -0.0158569285 -0.1871173481
[16] -0.0600246807 -0.0446765954 -0.0556519309 -0.0279133333 -0.0186371294
[21] -0.1121732193 -0.0216515366 -0.0293165664 -0.1661507032 -0.1161976726
[26] -0.1133403944  0.0777332775 -0.0393208220 -0.0434585509 -0.0865402263
[31] -0.0705012438 -0.0649859196 -0.0007399022 -0.0369886730  0.0088714849
[36] -0.2306736268
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/freestat/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/freestat/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/freestat/rcomp/tmp/3ipjp1230124194.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/freestat/rcomp/tmp/4tvb81230124194.tab") 
> 
> system("convert tmp/1a6301230124194.ps tmp/1a6301230124194.png")
> system("convert tmp/24ag21230124194.ps tmp/24ag21230124194.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.788   0.450   1.016