R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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> x <- c(595,591,589,584,573,567,569,621,629,628,612,595,597,593,590,580,574,573,573,620,626,620,588,566,557,561,549,532,526,511,499,555,565,542,527,510,514,517,508,493,490,469,478,528,534,518,506,502,516,528,533,536,537,524,536,587,597,581,564,564)
> par7 = ''
> par6 = 'White Noise'
> par5 = '12'
> par4 = '1'
> par3 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1pr2y1259796733.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2226u1259796733.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.940988361  0.878966952  0.800541326  0.706655397
 [6]  0.604657180  0.498840276  0.386676284  0.281107864  0.171844461
[11]  0.078749161  0.004599926 -0.073906914 -0.135095742 -0.182430268
[16] -0.230468292 -0.274267036 -0.317624749 -0.369325485 -0.392471589
[21] -0.422547803 -0.444678459 -0.453736836 -0.459573532 -0.459727378
[26] -0.441319180 -0.414911102 -0.367057065 -0.325188684 -0.275608171
[31] -0.210319947 -0.155476100 -0.111083621 -0.063169346 -0.021211146
[36]  0.010801258  0.048670237  0.074410313  0.094413755  0.097355734
[41]  0.092184350  0.084395820  0.071173461  0.055649671  0.044112374
[46]  0.036814895  0.024827962  0.012761428
> (mypacf <- c(rpacf$acf))
 [1]  0.940988361 -0.056679699 -0.176057984 -0.178385976 -0.113397086
 [6] -0.070361376 -0.103708466 -0.006067359 -0.100523091  0.055360070
[11]  0.098426055 -0.139038697  0.013772600  0.017264310 -0.108920738
[16] -0.105492463 -0.110628343 -0.181604186  0.171862109 -0.069671369
[21] -0.040363863  0.030842450 -0.003934768 -0.041173051  0.050187937
[26]  0.030991457  0.073557437 -0.109097538  0.033652639  0.047014635
[31] -0.077722290 -0.087378026 -0.016483825  0.019997042 -0.039767534
[36]  0.067781771  0.005279152 -0.088092428 -0.092208790 -0.052495388
[41] -0.096106549 -0.050787368  0.044934301 -0.018058562  0.128620902
[46] -0.080959039 -0.043843042
> 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 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/34z5f1259796733.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/4pbpn1259796733.tab") 
> system("convert tmp/1pr2y1259796733.ps tmp/1pr2y1259796733.png")
> system("convert tmp/2226u1259796733.ps tmp/2226u1259796733.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.560   0.326   1.221