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(3595,3914,4159,3676,3794,3446,3504,3958,3353,3480,3098,2944,3389,3497,4404,3849,3734,3060,3507,3287,3215,3764,2734,2837,2766,3851,3289,3848,3348,3682,4058,3655,3811,3341,3032,3475,3353,3186,3902,4164,3499,4145,3796,3711,3949,3740,3243,4407,4814,3908,5250,3937,4004,5560,3922,3759,4138,4634,3996,4308,4142,4429,5219,4929,5754,5592,4163,4962,5208,4755,4491,5732,5730,5024,6056,4901,5353,5578,4618,4724,5011,5298,4143,4617,4736,4214,5112,4197,4119,5104,4194,4583,3790,5557,4304,3838,4277,4951,4479,4677,4274,4782)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '-0.1'
> par1 = '36'
> #'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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/18iyd1228681267.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2cjnh1228681267.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.466265351 -0.059132208  0.007397041  0.095601954
 [6] -0.073511427  0.012647418  0.071916266 -0.208630619  0.231474395
[11] -0.097354755  0.148020420 -0.268509413  0.014618678  0.142533115
[16] -0.016345855 -0.049153078 -0.054965747  0.150417849 -0.052469355
[21]  0.032914703 -0.090712759 -0.053890115  0.213891025 -0.178465859
[26]  0.073561668 -0.011628494 -0.008426095 -0.005911536  0.084265956
[31] -0.042414709 -0.202352822  0.186549963  0.076351806 -0.055243604
[36] -0.140670906  0.192943571
> (mypacf <- c(rpacf$acf))
 [1] -0.466265351 -0.353356477 -0.284245940 -0.100107868 -0.103237799
 [6] -0.064908611  0.065054713 -0.209933117  0.040862466 -0.020123793
[11]  0.234179702 -0.059284937 -0.265373001 -0.130334500 -0.080567977
[16] -0.057725416 -0.097381685  0.001118404  0.142237284  0.084592389
[21]  0.028411367 -0.142557008  0.202769268 -0.068495769 -0.139886976
[26] -0.046463493 -0.053310101  0.009499634  0.003668129  0.126770175
[31] -0.020178226 -0.115261060  0.123510307  0.033105509  0.011158634
[36]  0.100900356
> 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/3a53z1228681268.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/47bgr1228681268.tab") 
> 
> system("convert tmp/18iyd1228681267.ps tmp/18iyd1228681267.png")
> system("convert tmp/2cjnh1228681267.ps tmp/2cjnh1228681267.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.558   0.316   0.695