R version 2.6.1 (2007-11-26)
Copyright (C) 2007 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(2863,2688,3041,3119,3102,4608,3466,3748,4541,3650,4274,3827,3778,3453,4160,3595,3914,4159,3676,3794,3446,3504,3958,3353,3480,3098,2944,3389,3497,4404,3849,3734,3060,3507,3287,3215,3764,2734,2837,2766,3851,3289,3848,3348,3682,4058,3655,3811,3341,3032,3475,3353,3186,3902,4164,3499,4145,3796,3711,3949,3740,3243,4407,4814,3908,5250,3937,4004,5560,3922,3759,4138,4634,3996,4307,4142,4429,5219,4929,5754,5591,4162,4947,5208,4754,4487,5719,5719,4994,6032,4897,5339,5571,4635,4733,5004,5322,4168,4633,4763,4252,4996,4261,4084,5084,4236)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1z6q51197559087.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2tlvk1197559087.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000 -0.49172014 -0.10199424  0.31983449 -0.26522730  0.03646809
 [7]  0.09270922 -0.02555172 -0.22438968  0.32946469 -0.18208604 -0.10119981
[13]  0.35889590 -0.29678736  0.08015669  0.14728624 -0.21721617  0.04830111
[19]  0.08816062 -0.07096004 -0.10225616  0.16052807 -0.12560462 -0.00152521
[25]  0.20813956 -0.17470686  0.06054489  0.01343709 -0.03328087 -0.02768465
[31]  0.02467834 -0.10497010  0.05444131  0.07831597 -0.06583099 -0.04975351
[37]  0.13648630 -0.04466678 -0.06303173  0.12262992 -0.10530553 -0.02334542
[43]  0.05855613 -0.03097170 -0.01402532 -0.02729669  0.07771837 -0.07745738
[49]  0.04089134
> (mypacf <- c(rpacf$acf))
 [1] -0.491720135 -0.453413089  0.039827740 -0.110054135 -0.091116872
 [6] -0.075728279  0.085607898 -0.302522529  0.076824414 -0.088482583
[11] -0.080619024  0.138759632  0.046427542  0.067444490  0.127117524
[16] -0.036158974 -0.019082672 -0.050555329  0.038430226 -0.085198148
[21] -0.104051385 -0.099699601 -0.056526820  0.035195467  0.107687130
[26]  0.073604512 -0.040982872  0.044863155 -0.043279575 -0.058756791
[31] -0.243239711 -0.039684676 -0.040156820  0.139801628 -0.140041929
[36]  0.045920769 -0.011136626 -0.007008012 -0.025166047  0.035771371
[41] -0.076822316 -0.024827121 -0.026059832  0.097075076 -0.144452547
[46]  0.024645471 -0.088021657 -0.088439137
> 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/3zhtb1197559088.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/4ymi61197559088.tab") 
> 
> system("convert tmp/1z6q51197559087.ps tmp/1z6q51197559087.png")
> system("convert tmp/2tlvk1197559087.ps tmp/2tlvk1197559087.png")
> 
> 
> proc.time()
   user  system elapsed 
  1.530   0.546   1.620