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(1178,2141,2238,2685,4341,5376,4478,6404,4617,3024,1897,2075,1351,2211,2453,3042,4765,4992,4601,6266,4812,3159,1916,2237,1595,2453,2226,3597,4706,4974,5756,5493,5004,3225,2006,2291,1588,2105,2191,3591,4668,4885,5822,5599,5340,3082,2010,2301,1514,1979,2480,3499,4676,5585,5610,5796,6199,3030,1930,2552)
> par7 = '0.95'
> par6 = 'MA'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1huq91259932063.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2c3351259932063.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.21089856  0.12673378  0.06057619 -0.19577789 -0.43519747
 [7] -0.39302980 -0.37718117 -0.21438563  0.06309658  0.08592718  0.24029678
[13]  0.66656901  0.21165716  0.15392033 -0.03450500 -0.09760894 -0.33629917
[19] -0.33245647 -0.26674554 -0.15501558  0.01686923  0.04888425  0.26411328
[25]  0.39080039  0.23956650  0.08794971 -0.03843092 -0.02740878 -0.27441873
[31] -0.24456219 -0.15757069 -0.14280284  0.01341072  0.03904772  0.16306690
[37]  0.25863472
> (mypacf <- c(rpacf$acf))
 [1]  0.210898558  0.086084464  0.018972177 -0.233944009 -0.403707472
 [6] -0.300799610 -0.301228970 -0.186844572  0.005452265 -0.176224682
[11] -0.173411292  0.425511886 -0.050268890 -0.003544324 -0.249232153
[16]  0.061243397  0.083595003  0.015173089  0.060137009 -0.023364519
[21] -0.051955921 -0.052675291  0.080383243 -0.040497607  0.084248123
[26] -0.136441158  0.017449908  0.045558569 -0.013849843  0.036070004
[31]  0.062315246 -0.078596161  0.068813217 -0.018820192 -0.076164498
[36]  0.060673714
> 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/3ii451259932063.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/4zz601259932063.tab") 
> system("convert tmp/1huq91259932063.ps tmp/1huq91259932063.png")
> system("convert tmp/2c3351259932063.ps tmp/2c3351259932063.png")
> 
> 
> proc.time()
   user  system elapsed 
  0.541   0.304   0.965