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(0.7200,0.7400,0.7400,0.7400,0.7400,0.7400,0.7400,0.7400,0.7400,0.7400,0.7400,0.7400,0.7400,0.7500,0.7500,0.7500,0.7500,0.7500,0.7500,0.7500,0.7500,0.7500,0.7500,0.7500,0.7500,0.7600,0.7600,0.7600,0.7600,0.7600,0.7600,0.7600,0.7600,0.7600,0.7600,0.7600,0.7600,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.7800,0.8000,0.8000,0.8000,0.8000,0.8000,0.8000,0.8000,0.8000,0.8000,0.8000,0.8000,0.8000,0.8100,0.8100,0.8100,0.8100,0.8100,0.8100,0.8100,0.8100,0.8100,0.8100,0.8100)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1jcmu1228858565.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/214t81228858565.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.05496212 -0.05580052 -0.05663893 -0.05747733 -0.05831574
 [7] -0.05915414 -0.05999255 -0.06083095 -0.06166936 -0.06250776 -0.05561421
[13]  0.44268828 -0.04955906 -0.05039747 -0.05123587 -0.05207428 -0.05291268
[19] -0.05375109 -0.05458949 -0.05542790 -0.05626630 -0.05710471 -0.04247920
[25]  0.52712914 -0.03642405 -0.03726245 -0.03810086 -0.03893926 -0.03977767
[31] -0.04061607 -0.04145448 -0.04229288 -0.04313129 -0.04396969 -0.04480810
[37]  0.52480023 -0.03102099 -0.03185940 -0.03269780 -0.03353621 -0.03437461
[43] -0.03521302 -0.03605142 -0.03688983 -0.03772823 -0.03856664 -0.02394113
[49]  0.18913800
> (mypacf <- c(rpacf$acf))
 [1] -0.05496212 -0.05899958 -0.06354200 -0.06869883 -0.07461378 -0.08147920
 [7] -0.08955858 -0.09922274 -0.11101053 -0.12573612 -0.13636622  0.38871170
[13] -0.05296384 -0.05796418 -0.06139527 -0.06523709 -0.06958469 -0.07455022
[19] -0.08028124 -0.08697591 -0.09490661 -0.10453508 -0.10521009  0.34598252
[25] -0.02925558 -0.03482563 -0.03447730 -0.03386976 -0.03304024 -0.03195619
[31] -0.03058057 -0.02887247 -0.02678714 -0.02445957 -0.04465082  0.28128578
[37]  0.01449321  0.01163584  0.01567069  0.02013227  0.02498908  0.03027499
[43]  0.03603289  0.04231978  0.04921905  0.05671472  0.06859095 -0.29637706
> 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/3dtwj1228858565.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/4g1kh1228858565.tab") 
> 
> system("convert tmp/1jcmu1228858565.ps tmp/1jcmu1228858565.png")
> system("convert tmp/214t81228858565.ps tmp/214t81228858565.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.564   0.320   0.675