R version 2.6.0 (2007-10-03)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(3.926,3.517,4.142,4.353,5.029,4.755,3.862,4.406,4.567,4.863,4.121,3.626,3.804,3.491,4.151,4.254,4.717,4.866,4.001,3.758,4.78,5.016,4.296,4.467,3.891,3.872,3.867,3.973,4.64,4.538,3.836,3.77,4.374,4.497,3.945,3.862,3.608,3.301,3.882,3.605,4.305,4.216,3.971,3.988,4.317,4.484,4.247,3.52,3.687,3.405,3.99,4.047,4.549,4.559,3.926,4.206,4.517,4.387,3.219,3.129)
> par5 = '12'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1vi821196158545.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2gv671196158545.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.419586252 -0.085144749 -0.193771378 -0.082251604
 [6]  0.036132535 -0.073646097 -0.064461075 -0.104665134 -0.140176953
[11] -0.010922059  0.283309267  0.520658178  0.205540682 -0.146058777
[16] -0.178367972 -0.083546508 -0.003096881 -0.023700463 -0.056616097
[21] -0.090700228 -0.096566795 -0.057687371  0.161807860  0.322589450
[26]  0.117991652 -0.146513243 -0.162111371 -0.029676486 -0.021420553
[31] -0.116871477 -0.115071005 -0.118749545 -0.102616889 -0.039558522
[36]  0.081829290  0.208528180  0.034205217 -0.111157782 -0.074444608
[41] -0.009502379 -0.035468656 -0.142540937 -0.110764444 -0.101064580
[46] -0.045841479  0.063192846  0.121401485  0.175350065
> (mypacf <- c(rpacf$acf))
 [1]  0.419586252 -0.317007347 -0.018496520  0.007193450  0.023171231
 [6] -0.177696654  0.082152600 -0.169870716 -0.078541193  0.075668436
[11]  0.306115206  0.308324791 -0.130595366 -0.032023615  0.010593246
[16] -0.087940592 -0.031558869  0.085832976 -0.028687205 -0.025292638
[21]  0.007840819 -0.142057469  0.047263275  0.060642872 -0.040288430
[26] -0.035707604  0.051942753 -0.002263990 -0.127992305 -0.112167472
[31]  0.024669846 -0.104078339 -0.040212651  0.060566942 -0.074628412
[36] -0.010696243 -0.072282552  0.039979159 -0.020990449 -0.007555690
[41] -0.023662424 -0.039743932 -0.004578030 -0.073654719  0.065723708
[46]  0.063480184  0.022857195  0.039024924
> 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/3nds31196158546.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/4rxo21196158546.tab") 
> 
> system("convert tmp/1vi821196158545.ps tmp/1vi821196158545.png")
> system("convert tmp/2gv671196158545.ps tmp/2gv671196158545.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.874   0.329   1.146