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(49.1,52.7,55.1,60.4,57.5,55.9,62.6,61.3,67.1,68.6,74.8,76.9,85.7,86.5,90.8,89.7,96.3,107.5,109.2,100.2,116.8,120.1,123.3,130.2,131.4,125.6,124.5,134.3,135.2,151.8,146.4,140.0,127.8,148.0,165.9,165.5,179.9,190.0,189.8,190.9,203.6,183.5,169.3,144.2,141.5,154.3,169.5,194.0,203.2,192.9,209.4,227.2,263.7,297.8,337.1,361.3,355.2,312.6,309.9,323.7,324.1,355.3,383.4,395.1,412.8,407.0,438.0,446.1,452.5,447.3,475.9,487.7)
> par5 = '1'
> par4 = '0'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1fbk21242320363.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2xhzl1242320363.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.945122992  0.887017709  0.833182842  0.777742916
 [6]  0.723494338  0.671395253  0.626206892  0.575638168  0.526319939
[11]  0.478484127  0.438683310  0.405855672  0.372845055  0.342029477
[16]  0.307678162  0.259029071  0.205131472  0.155586933  0.113851681
[21]  0.077389664  0.052247009  0.032466670  0.017441464  0.001139731
[26] -0.013275170 -0.024053298 -0.033045505 -0.038132528 -0.044320572
[31] -0.054255727 -0.069926240 -0.092495645 -0.114945805 -0.136124957
[36] -0.156402287 -0.175011752 -0.188421312 -0.202039460 -0.212363471
[41] -0.218277225 -0.225587707 -0.238391676 -0.255638640 -0.272821403
[46] -0.291538572 -0.306543032 -0.320854929 -0.333945513
> (mypacf <- c(rpacf$acf))
 [1]  0.945122992 -0.058456186  0.010190938 -0.046844847 -0.017445133
 [6] -0.013235152  0.033929644 -0.081966401 -0.012390392 -0.025155570
[11]  0.047966043  0.033320412 -0.022883736 -0.009245882 -0.056083275
[16] -0.157803436 -0.074163299 -0.006939369  0.030788315  0.018044785
[21]  0.074858736  0.016773045  0.038142728 -0.031499783 -0.003343251
[26] -0.015555090 -0.016019311  0.012091398 -0.014266966 -0.034919392
[31] -0.030316965 -0.060783465 -0.023076586 -0.030944128 -0.041849910
[36] -0.037687766  0.007899245 -0.031693531  0.033560355  0.023257823
[41] -0.027604819 -0.081886872 -0.075162239 -0.038364826 -0.027169306
[46]  0.028936282  0.002534635 -0.001722462
> 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/3yfv51242320363.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/4q1si1242320363.tab") 
> 
> system("convert tmp/1fbk21242320363.ps tmp/1fbk21242320363.png")
> system("convert tmp/2xhzl1242320363.ps tmp/2xhzl1242320363.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.575   0.305   0.688