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(554.79,562.33,560.85,555.33,543.6,536.66,542.72,593.53,610.76,612.61,611.32,594.17,595.45,590.87,589.38,584.43,573.1,567.46,569.03,620.74,628.88,628.23,612.12,595.4,597.14,593.41,590.07,579.8,574.21,572.78,572.94,619.57,625.81,619.92,587.63,565.74,557.27,560.58,548.85,531.67,525.92,511.04,498.66,555.36,564.59,541.66,527.07,509.85,514.26,516.92,507.56,492.62,490.24,469.36,477.58,528.38,533.59,517.95,506.17,501.87)
> par5 = '12'
> par4 = '1'
> par3 = '1'
> par2 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1o9001229185120.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/25dt01229185120.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.060545179  0.103228716  0.159626856  0.099759492
 [6]  0.039579419  0.042199713  0.023518666  0.099658396 -0.022572161
[11] -0.095694346  0.281985593 -0.162115151 -0.090386004  0.040136324
[16] -0.070849929 -0.098646165 -0.052118497 -0.059907766  0.025469449
[21] -0.018526116 -0.020780453  0.054245537 -0.002749295 -0.146881113
[26] -0.035325833 -0.090798187 -0.046443621 -0.041637758  0.079176599
[31] -0.051980881  0.044903767 -0.052372311 -0.030160331 -0.045457283
[36] -0.038016556 -0.033731582 -0.075959442 -0.014386227 -0.053270782
[41]  0.031371339 -0.088390066  0.032666158  0.021648389 -0.021051073
[46] -0.009039883 -0.049380419
> (mypacf <- c(rpacf$acf))
 [1] -0.060545179  0.099929310  0.173667010  0.115457519  0.022786753
 [6] -0.002912258 -0.016394748  0.078794358 -0.022280977 -0.132247235
[11]  0.253810832 -0.126994949 -0.145274299 -0.001266989 -0.059729306
[16] -0.074725933 -0.029457755 -0.012059540  0.031387895  0.067144868
[21]  0.071113509 -0.055471702  0.069090526 -0.122995855 -0.146556158
[26] -0.080338219  0.004574947 -0.007556636  0.159492963 -0.030330016
[31]  0.024788111 -0.050063723 -0.072317457 -0.122370953  0.051799172
[36]  0.012115507 -0.077480798  0.018310529 -0.027518752 -0.063613438
[41] -0.037739503 -0.026309192  0.047893786  0.052376421  0.064461560
[46] -0.094176710
> 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/3bbvt1229185120.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/4p5v11229185120.tab") 
> 
> system("convert tmp/1o9001229185120.ps tmp/1o9001229185120.png")
> system("convert tmp/25dt01229185120.ps tmp/25dt01229185120.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.638   0.371   0.787