R version 2.8.0 (2008-10-20)
Copyright (C) 2008 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(0,9,1,4,6,21,24,23,22,21,20,16,18,18,24,16,15,24,18,15,4,3,6,5,12,12,12,14,12,17,12,20,21,15,22,19,19,26,25,19,20,30,31,35,33,26,25,17,14,8,12,7,4,10,8,16,14,20,9,10)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1gggm1229261264.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2ykyr1229261264.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.156430748  0.097240214  0.091326169 -0.046953705
 [6]  0.081791144 -0.114549105 -0.025499736 -0.065656866  0.040768830
[11]  0.160005109 -0.113962991 -0.315786210  0.107347258 -0.149315854
[16] -0.082290089 -0.091944375 -0.075192758  0.068023871 -0.032466313
[21]  0.063207462 -0.123777087 -0.183593416  0.124907247 -0.091520239
[26] -0.009105469  0.042684162  0.023827046  0.142971602  0.057809275
[31]  0.048226329  0.009893459  0.079273436  0.042357170  0.083150286
[36] -0.063241939  0.098013459 -0.045667855  0.011777999 -0.095907309
[41] -0.030206426  0.009027407 -0.096303690  0.128240267 -0.168587130
[46]  0.104753223 -0.038663115
> (mypacf <- c(rpacf$acf))
 [1] -0.156430748  0.074595018  0.120679982 -0.024043968  0.053338674
 [6] -0.103396460 -0.066306555 -0.077473250  0.058519311  0.202911284
[11] -0.046742669 -0.445391666 -0.053290393 -0.031317738 -0.047945163
[16] -0.083038002 -0.022125628  0.006430616 -0.090137240 -0.067457474
[21] -0.049671850 -0.186569448 -0.064706068 -0.131270895  0.024665313
[26] -0.005123060 -0.070934733 -0.043931019  0.020853914 -0.009447945
[31] -0.015051423  0.127698545 -0.055347363 -0.032780398 -0.071102116
[36] -0.013427624 -0.092397891 -0.086754846 -0.182637624  0.024872626
[41]  0.041278915 -0.091696287  0.085605468 -0.110032810  0.008522941
[46] -0.037007789
> 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/37ubh1229261264.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/4rktb1229261264.tab") 
> 
> system("convert tmp/1gggm1229261264.ps tmp/1gggm1229261264.png")
> system("convert tmp/2ykyr1229261264.ps tmp/2ykyr1229261264.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.599   0.326   0.693