R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(36.80,35.40,33.00,28.73,26.70,26.46,24.60,28.00,31.60,33.50,34.50,35.00,34.76,33.50,32.74,34.40,31.93,29.24,25.75,26.03,26.08,23.80,20.61,19.70,18.18,19.60,20.60,20.03,23.00,23.60,22.56,22.55,23.75,24.92,24.50,30.58,28.07,27.70,27.00,25.23,26.86,25.60,24.55,23.96,23.50,23.64,21.55,21.05,21.89,21.98,21.45,22.15,22.58,23.80,23.30,22.38,23.00,21.96,22.40,20.80,20.40,16.00,12.78,9.75,7.50,11.24,12.24,12.75,12.52,14.49,14.21,14.32,22.15,22.58,23.80,23.30,22.38,23.00,21.96,22.40,20.80,20.40,16.00,12.78,9.75,7.50,11.24,12.24,12.75,12.52,14.49,14.21,14.32)
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = 'Default'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1cu931244395002.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/259ji1244395002.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1] 1.0000000 0.9237374 0.8294992 0.7263089 0.6270715 0.5429408 0.4603951
 [8] 0.3950644 0.3074043 0.2298107 0.1635745 0.1248695 0.1214636 0.1284449
[15] 0.1542809 0.1771527 0.1964907 0.2161789 0.2474267 0.2798115
> (mypacf <- c(rpacf$acf))
 [1]  0.92373741 -0.16216838 -0.10072999 -0.02063598  0.04157436 -0.06851061
 [7]  0.05482658 -0.22823687  0.04360871  0.01823982  0.13546918  0.13321137
[13]  0.01983542  0.06620019  0.02619208 -0.01354477  0.03970894  0.10306059
[19] -0.03344292
> 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/3hjlb1244395002.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/4b5ay1244395002.tab") 
> 
> system("convert tmp/1cu931244395002.ps tmp/1cu931244395002.png")
> system("convert tmp/259ji1244395002.ps tmp/259ji1244395002.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.524   0.304   0.645