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(2175,2197,2350,2440,2409,2473,2408,2455,2448,2498,2646,2757,2849,2921,2982,3081,3106,3119,3061,3097,3162,3257,3277,3295,3364,3494,3667,3813,3918,3896,3801,3570,3702,3862,3970,4139,4200,4291,4444,4503,4357,4591,4697,4621,4563,4203,4296,4435,4105,4117,3844,3721,3674,3858,3801,3504,3033,3047,2962,2198,2014)
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: Write here your technical program description (don't use hard returns!)
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1j2p11229794520.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2jbv81229794520.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.28898202  0.06499194  0.22780232  0.18938995  0.22076188
 [7]  0.08244885  0.05394319  0.16657229  0.12445734  0.06014171  0.25932845
[13]  0.04433815 -0.02673750  0.18967940  0.05178145  0.03686982 -0.06894505
[19] -0.15490019  0.02168547 -0.03305732 -0.10431924 -0.11234985 -0.09933918
[25] -0.09304017  0.03227118 -0.03182749 -0.04208130  0.02722353 -0.03682601
[31] -0.05023423 -0.07493729 -0.06830511 -0.11512755 -0.10477198 -0.12910656
[37] -0.04009523
> (mypacf <- c(rpacf$acf))
 [1]  0.288982024 -0.020206097  0.234119591  0.068476857  0.176748965
 [6] -0.070492128  0.019318124  0.073071579  0.028603491 -0.007914304
[11]  0.248021808 -0.170032608 -0.020120441  0.116305283 -0.076912274
[16] -0.007435785 -0.133873902 -0.141266041 -0.001854418 -0.046565338
[21]  0.002968707 -0.146990685  0.017038993 -0.048822626  0.078715744
[26]  0.053479822  0.071608181  0.057119763  0.056414220 -0.107596554
[31]  0.018813942  0.013697435 -0.100878679 -0.028734511 -0.126103043
[36]  0.029858892
> 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/3tp381229794520.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/4jece1229794520.tab") 
> 
> system("convert tmp/1j2p11229794520.ps tmp/1j2p11229794520.png")
> system("convert tmp/2jbv81229794520.ps tmp/2jbv81229794520.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.556   0.324   0.694