R version 2.6.1 (2007-11-26)
Copyright (C) 2007 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(37702,30364,32609,30212,29965,28352,25814,22414,20506,28806,22228,13971,36845,35338,35022,34777,26887,23970,22780,17351,21382,24561,17409,11514,31514,27071,29462,26105,22397,23843,21705,18089,20764,25316,17704,15548,28029,29383,36438,32034,22679,24319,18004,17537,20366,22782,19169,13807,29743,25591,29096,26482,22405,27044,17970,18730,19684,19785,18479,10698)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '-0.5'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1vycx1197573785.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/20nt71197573785.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.305387684  0.078952130  0.087751095 -0.013297097
 [6] -0.081506434 -0.229905136 -0.151414820 -0.082347732 -0.040095207
[11] -0.052277241  0.152673679  0.681703287  0.206913296  0.022489631
[16]  0.033460544 -0.068936285 -0.110006482 -0.229364377 -0.170469331
[21] -0.101114790 -0.105696586 -0.099731535  0.077217074  0.457522431
[26]  0.142237012  0.004072299 -0.013187812 -0.062288626 -0.092914984
[31] -0.183468803 -0.095592767 -0.043683883 -0.046014909 -0.037160723
[36]  0.054876538  0.366837436  0.115229974  0.022719853  0.017391284
[41] -0.030760261 -0.085578834 -0.164563604 -0.121060624 -0.109803001
[46] -0.112725225 -0.084878244 -0.061333438  0.148845371
> (mypacf <- c(rpacf$acf))
 [1]  0.305387684 -0.015781297  0.075099896 -0.067086120 -0.067678690
 [6] -0.211427223 -0.018504282 -0.020665377  0.027585646 -0.054654660
[11]  0.194225992  0.653168827 -0.257293853 -0.142263256 -0.134791906
[16] -0.096074606 -0.043140839  0.062045061  0.056350077  0.014710793
[21] -0.046985380 -0.003848164 -0.035108426 -0.070247307 -0.021871843
[26]  0.007559291 -0.068631078  0.076744862  0.014729257  0.017439071
[31]  0.081843242  0.013586527  0.059566041  0.011174439 -0.106742820
[36]  0.053867223 -0.076372153  0.056272110  0.108513027  0.027840761
[41] -0.065281428 -0.044840517 -0.195764036 -0.161339736 -0.106717174
[46]  0.012170319 -0.023692602 -0.138456324
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 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 1:par1) {
+ 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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/3cwhq1197573785.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-1,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(mytstat,lengthx),6))
+ a<-table.row.end(a)
+ }
> a<-table.end(a)
> table.save(a,file="/var/www/html/rcomp/tmp/4ahlb1197573785.tab") 
> 
> system("convert tmp/1vycx1197573785.ps tmp/1vycx1197573785.png")
> system("convert tmp/20nt71197573785.ps tmp/20nt71197573785.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.543   0.549   1.624