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(21.1,21.0,20.4,19.5,18.6,18.8,23.7,24.8,25.0,23.6,22.3,21.8,20.8,19.7,18.3,17.4,17.0,18.1,23.9,25.6,25.3,23.6,21.9,21.4,20.6,20.5,20.2,20.6,19.7,19.3,22.8,23.5,23.8,22.6,22.0,21.7,20.7,20.2,19.1,19.5,18.7,18.6,22.2,23.2,23.5,21.3,20.0,18.7,18.9,18.3,18.4,19.9,19.2,18.5,20.9,20.5,19.4,18.1,17.0,17.0,17.3,16.7,15.5,15.3,13.7,14.1,17.3,18.1)
> par5 = '12'
> par4 = '1'
> par3 = '2'
> par2 = '-2.0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1jc7e1229093290.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2855q1229093290.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.049937161 -0.103110683 -0.281180019 -0.153505166
 [6] -0.150587642  0.096717496  0.103405065  0.063535876  0.239993145
[11] -0.090748189  0.039252881 -0.209369837 -0.148128286 -0.096704585
[16]  0.198147350  0.005788993  0.161199404  0.090093381 -0.103180025
[21] -0.074323458 -0.112851433 -0.052145266  0.032669821  0.083045643
[26]  0.067715030  0.078074568  0.022718252 -0.102711410 -0.069642872
[31] -0.123927562 -0.006525112  0.070151753  0.099071085  0.206343258
[36]  0.021722652 -0.171449872 -0.223002739  0.007265631  0.053390844
[41]  0.058530666  0.019471088  0.047872883  0.006196191  0.008924119
[46] -0.060616797 -0.077350420 -0.057906694  0.068321697  0.071926004
[51]  0.035189394 -0.016741727 -0.026461775  0.005374560
> (mypacf <- c(rpacf$acf))
 [1] -0.049937161 -0.105868409 -0.296211325 -0.228105085 -0.305319507
 [6] -0.155384246 -0.144506255 -0.182923896  0.154906930 -0.063406790
[11]  0.175116992 -0.011128467 -0.102545528 -0.081212643  0.010800304
[16] -0.171303827 -0.010284084  0.017802316 -0.046476312  0.004645104
[21] -0.016898131 -0.025519250  0.040809700 -0.082750303  0.044330472
[26] -0.047991273  0.055515517 -0.008743500 -0.020769108 -0.081506213
[31] -0.032651207 -0.084135422 -0.053574021  0.184368541  0.087149643
[36] -0.044189041 -0.069961918  0.009741084  0.106176917 -0.099816534
[41] -0.112374753 -0.077661838 -0.131740231 -0.051776356 -0.093095004
[46] -0.055376674 -0.029886052  0.070043343 -0.054569081 -0.027974529
[51] -0.052303022 -0.074216712 -0.036397824
> 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/3dyug1229093291.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/4p07u1229093291.tab") 
> 
> system("convert tmp/1jc7e1229093290.ps tmp/1jc7e1229093290.png")
> system("convert tmp/2855q1229093290.ps tmp/2855q1229093290.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.569   0.313   0.803