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(513,503,471,471,476,475,470,461,455,456,517,525,523,519,509,512,519,517,510,509,501,507,569,580,578,565,547,555,562,561,555,544,537,543,594,611,613,611,594,595,591,589,584,573,567,569,621,629,628,612,595,597,593,590,580,574,573,573,620,626,620,588,566,557,561,549,532,526,511,499,555,565,542,527)
> par5 = '12'
> par4 = '1'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1h8dj1230052164.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2zceu1230052164.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.029637017  0.005393984  0.084088529 -0.059611052
 [6] -0.001440376  0.079873508  0.067728395  0.049845215  0.193288842
[11] -0.139957863 -0.052166623 -0.230622630 -0.007604952  0.201684451
[16]  0.040457331  0.040297530 -0.111176836  0.116594819  0.034902582
[21]  0.004828461  0.050166824  0.072998455  0.193504505 -0.102464354
[26] -0.101826113 -0.207258864  0.066387945 -0.020136605  0.101852921
[31] -0.086801372 -0.102735959  0.039219295 -0.131770371 -0.025066035
[36] -0.038425347  0.020700042  0.066434978  0.085545679 -0.143372996
[41] -0.041995465  0.077110340 -0.059284467  0.076443125 -0.062830507
[46] -0.090363625 -0.035571162 -0.154986777 -0.109359552
> (mypacf <- c(rpacf$acf))
 [1]  0.029637017  0.004519601  0.083870822 -0.065072574  0.001927220
 [6]  0.074024162  0.074314776  0.041670721  0.181482331 -0.159907768
[11] -0.043446272 -0.279890527  0.054515385  0.201518494  0.061216272
[16]  0.000701258 -0.182622477  0.170838058  0.159915883  0.040780160
[21]  0.051358627 -0.096071027  0.148795952 -0.191751052 -0.103395987
[26] -0.140935574  0.060277497 -0.025842604  0.051884280 -0.113331885
[31]  0.037208768 -0.013624715  0.037073073 -0.013155066  0.088482220
[36] -0.164965290 -0.051047920 -0.009335966  0.022941142  0.058997512
[41] -0.007482324 -0.114182229  0.052452128 -0.015466940 -0.019097789
[46] -0.116093002 -0.135893512 -0.059515017
> 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/3vdlv1230052164.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/4aor71230052165.tab") 
> 
> system("convert tmp/1h8dj1230052164.ps tmp/1h8dj1230052164.png")
> system("convert tmp/2zceu1230052164.ps tmp/2zceu1230052164.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.577   0.309   0.706