R version 2.11.1 (2010-05-31)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(31,30,29,27,25,24,25,27,28,28,29,31,31,27,25,16,20,21,25,24,28,27,23,36,37,30,27,22,22,25,33,35,35,29,25,34,31,29,21,19,18,25,23,22,20,15,17,25,26,26,23,24,24,42,40,45,47,40,39,49,55,54,48,44,48,62,57,60,56,57,54,62,65,68,69,67,72,82,72,77,79,78,76,79)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/rcomp/tmp/1x24r1281876572.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/rcomp/tmp/2x24r1281876572.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.055890721 -0.131440999 -0.231367054 -0.091485674
 [6]  0.040898125  0.373298048  0.065783427 -0.165004793 -0.164761548
[11] -0.158633104  0.042374871  0.618981732 -0.079800683 -0.092813531
[16] -0.305485474 -0.060931638 -0.009800431  0.341061278 -0.041216092
[21] -0.109424268 -0.032103352 -0.215694815  0.153098898  0.390028465
[26] -0.015565117 -0.122458970 -0.206232402 -0.087306243  0.047617059
[31]  0.340191119 -0.125227635 -0.055605848 -0.041375180 -0.135715479
[36]  0.094597559  0.182784785  0.034205070 -0.177436100 -0.100668001
[41] -0.111216206  0.078119268  0.182482151 -0.089410320 -0.007712936
[46] -0.038962988 -0.068502762  0.029065079  0.066588924
> (mypacf <- c(rpacf$acf))
 [1] -0.055890721 -0.134986438 -0.252627514 -0.161551033 -0.063483197
 [6]  0.305106948  0.112710408 -0.069820505 -0.039476453 -0.148465416
[11] -0.079481465  0.533210371 -0.068846851  0.058868395 -0.161913460
[16] -0.048144780 -0.099528265 -0.049499337 -0.140943050  0.032862605
[21]  0.230784468 -0.088181465  0.160193160  0.034625286  0.077034811
[26] -0.027719540 -0.012034368 -0.097877637  0.081269769  0.039941831
[31] -0.088131790 -0.017961503 -0.026719819  0.075389896 -0.145225922
[36] -0.141969841  0.016889061 -0.002958256  0.031956195  0.048010111
[41] -0.048822836 -0.072083007  0.079013764 -0.064527106  0.033861767
[46] -0.024609432 -0.015955649 -0.091945671
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/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/rcomp/tmp/3tu2i1281876572.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/rcomp/tmp/4xujo1281876572.tab") 
> 
> try(system("convert tmp/1x24r1281876572.ps tmp/1x24r1281876572.png",intern=TRUE))
character(0)
> try(system("convert tmp/2x24r1281876572.ps tmp/2x24r1281876572.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.870   0.350   1.198