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(1846.5,2796.3,2895.6,2472.2,2584.4,2630.4,2663.1,3176.2,2856.7,2551.4,3088.7,2628.3,2226.2,3023.6,3077.9,3084.1,2990.3,2949.6,3014.7,3517.7,3121.2,3067.4,3174.6,2676.3,2424,3195.1,3146.6,3506.7,3528.5,3365.1,3153,3843.3,3123.2,3361.1,3481.9,2970.5,2537,3257.6,3301.3,3391.6,2933.6,3283.2,3139.7,3486.4,3202.2,3294.4,3550.3,3279.3,2678.6,3451.4,3977.1,3814.8,3310.5,3971.8,4051.9,4057.6,4391.4,3628.9,4092.2,3822.5)
> par5 = '12'
> par4 = '1'
> par3 = '0'
> par2 = '0.1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1gjwl1228835026.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2s8ke1228835026.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.519173454  0.467869263  0.538071030  0.307473439
 [6]  0.179149667  0.229024417 -0.008684385 -0.020604138 -0.029559870
[11] -0.224968625 -0.309090021 -0.225078440 -0.301966961 -0.274126411
[16] -0.253558548 -0.270458159 -0.118698595 -0.112915369 -0.139750703
[21] -0.075397483 -0.061061492 -0.113385095 -0.041841647 -0.196497330
[26] -0.135233659 -0.043440506 -0.093129624 -0.163365169 -0.038715120
[31] -0.106767981 -0.099094896 -0.014981301 -0.054203425 -0.023021562
[36]  0.119489997  0.015124390  0.054486179  0.138082593  0.096406726
[41]  0.067950400  0.117728090  0.045856699  0.044287941  0.080884931
[46] -0.002800571  0.013622589  0.017715277
> (mypacf <- c(rpacf$acf))
 [1]  0.519173454  0.271511759  0.325380229 -0.143607745 -0.190456341
 [6]  0.037013336 -0.210496329  0.027668015 -0.035772652 -0.176541122
[11] -0.213529130  0.018678895  0.084871212  0.088448897 -0.080907806
[16] -0.088104299  0.187108965 -0.004905845 -0.031693712 -0.146061645
[21] -0.124275687 -0.131776473  0.010446373 -0.258910848 -0.008533541
[26]  0.061826490  0.119004815 -0.050635592 -0.021906907 -0.033222242
[31] -0.031041821  0.082950356 -0.048321206 -0.082023264 -0.094340068
[36] -0.103259676  0.044855749  0.028362789 -0.021052038 -0.150536736
[41]  0.037947077  0.046335679  0.019127224 -0.065230186 -0.073898500
[46]  0.003214622 -0.034118419
> 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/3i3dv1228835026.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/44akp1228835026.tab") 
> 
> system("convert tmp/1gjwl1228835026.ps tmp/1gjwl1228835026.png")
> system("convert tmp/2s8ke1228835026.ps tmp/2s8ke1228835026.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.605   0.330   0.710