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(152,151,150,148,146,145,146,148,149,149,150,152,154,164,167,162,164,172,169,174,181,181,172,181,183,200,199,190,197,194,190,195,204,197,185,193,192,211,210,197,191,182,170,166,175,163,153,171,165,184,179,163,163,148,132,127,130,118,113,137,133,155,151,132,134,118,102,98,91,77,74,102,98,113,114,96,102,90,72,67,62,48,43,75)
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1lqbg1282229201.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2lqbg1282229201.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.009345943 -0.021370948  0.192498240 -0.232204676
 [6] -0.135012172 -0.077175670 -0.089125227 -0.276711301  0.100066620
[11]  0.048300698 -0.007171154  0.780170840 -0.032020408 -0.047820397
[16]  0.183751063 -0.188397473 -0.108110556 -0.070668176 -0.105233112
[21] -0.232516624  0.018372219  0.043760736 -0.015955416  0.534271014
[26] -0.099052217 -0.080296778  0.166331141 -0.137454628 -0.086341997
[31] -0.040416133 -0.094821476 -0.167549303 -0.003937791  0.030441889
[36] -0.008820037  0.312319065 -0.132955726 -0.082821368  0.123973560
[41] -0.082111471 -0.065744809 -0.007219040 -0.064619305 -0.124125736
[46] -0.004046750  0.038233287 -0.009655348  0.145269352
> (mypacf <- c(rpacf$acf))
 [1] -0.009345943 -0.021460169  0.192198952 -0.238728806 -0.131201487
 [6] -0.132413989 -0.004079712 -0.323016784  0.091966199 -0.036010925
[11]  0.081668468  0.738391837 -0.126283400 -0.003967783 -0.134989451
[16]  0.059458724  0.088191305  0.011494331 -0.129669503  0.145163659
[21] -0.128789375 -0.065720933 -0.093151750 -0.170871358 -0.108213263
[26] -0.079626233 -0.053556297  0.101576559 -0.070235615 -0.015969276
[31]  0.009173508  0.042286695  0.042099355 -0.035249494  0.035823701
[36] -0.055417674  0.051879282 -0.030993499 -0.031929791  0.022639134
[41] -0.018444351 -0.031189255  0.013035450 -0.130294748 -0.020067057
[46]  0.015565130 -0.057449062 -0.020323495
> 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/36qrm1282229201.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/4srqa1282229201.tab") 
> 
> try(system("convert tmp/1lqbg1282229201.ps tmp/1lqbg1282229201.png",intern=TRUE))
character(0)
> try(system("convert tmp/2lqbg1282229201.ps tmp/2lqbg1282229201.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.580   0.318   0.773