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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Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> x <- c(227.86
+ ,198.24
+ ,194.97
+ ,184.88
+ ,196.79
+ ,205.36
+ ,226.72
+ ,226.05
+ ,202.50
+ ,194.79
+ ,192.43
+ ,219.25
+ ,217.47
+ ,192.34
+ ,196.83
+ ,186.07
+ ,197.31
+ ,215.02
+ ,242.67
+ ,225.17
+ ,206.69
+ ,197.75
+ ,196.43
+ ,213.55
+ ,222.75
+ ,194.03
+ ,201.85
+ ,189.50
+ ,206.07
+ ,225.59
+ ,247.91
+ ,247.64
+ ,213.01
+ ,203.01
+ ,200.26
+ ,220.50
+ ,237.90
+ ,216.94
+ ,214.01
+ ,196.00
+ ,208.37
+ ,232.75
+ ,257.46
+ ,267.69
+ ,220.18
+ ,210.61
+ ,209.59
+ ,232.75
+ ,232.75
+ ,219.82
+ ,226.74
+ ,208.04
+ ,220.12
+ ,235.69
+ ,257.05
+ ,258.69
+ ,227.15
+ ,219.91
+ ,219.30
+ ,259.04
+ ,237.29
+ ,212.88
+ ,226.03
+ ,211.07
+ ,222.91
+ ,249.18
+ ,266.38
+ ,268.53
+ ,238.02
+ ,224.69
+ ,213.75
+ ,237.43
+ ,248.46
+ ,210.82
+ ,221.40
+ ,209.00
+ ,234.37
+ ,248.43
+ ,271.98
+ ,268.11
+ ,233.88
+ ,223.43
+ ,221.38
+ ,233.76
+ ,243.97
+ ,217.76
+ ,224.66
+ ,210.84
+ ,220.35
+ ,236.84
+ ,266.15
+ ,255.20
+ ,234.76
+ ,221.29
+ ,221.26
+ ,244.13
+ ,245.78
+ ,224.62
+ ,234.80
+ ,211.37
+ ,222.39
+ ,249.63
+ ,282.29
+ ,279.13
+ ,236.60
+ ,223.62
+ ,225.86
+ ,246.41
+ ,261.70
+ ,225.01
+ ,231.54
+ ,214.82
+ ,227.70
+ ,263.86
+ ,278.15
+ ,274.64
+ ,237.66
+ ,227.97
+ ,224.75
+ ,242.91
+ ,253.08
+ ,228.13
+ ,233.68
+ ,217.38
+ ,236.38
+ ,256.08
+ ,292.83
+ ,304.71
+ ,245.57
+ ,234.41
+ ,234.12
+ ,258.17
+ ,268.66
+ ,245.31
+ ,247.47
+ ,226.25
+ ,251.67
+ ,268.79
+ ,288.94
+ ,290.16
+ ,250.69
+ ,240.80)
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1bpam1272545838.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2mhs71272545838.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.00000000  0.10932700 -0.23165972 -0.51228289 -0.30795587  0.31315548
 [7]  0.24175413  0.33769028 -0.29202595 -0.48018374 -0.20183302  0.11605143
[13]  0.82317720  0.14773659 -0.20521461 -0.47379446 -0.27126603  0.25206852
[19]  0.21169331  0.31942962 -0.23849902 -0.43530609 -0.19594858  0.11370064
[25]  0.71361955  0.14798998 -0.17291876 -0.42610784 -0.27273486  0.25894278
[31]  0.16851567  0.29485291 -0.20281212 -0.40241074 -0.17066511  0.10453080
[37]  0.64589867  0.11437798 -0.17666884 -0.32895397 -0.25325995  0.22556628
[43]  0.12767270  0.24972794 -0.16257267 -0.34093914 -0.14789294  0.08251382
[49]  0.56441108
> (mypacf <- c(rpacf$acf))
 [1]  1.093270e-01 -2.465591e-01 -4.889704e-01 -4.080448e-01  1.012589e-01
 [6] -1.921789e-01  1.883226e-01 -2.622614e-01 -3.999692e-01 -3.667792e-01
[11] -4.358200e-01  4.259483e-01  2.954766e-02  1.014713e-02  1.083509e-01
[16]  2.076560e-01  7.409367e-03 -4.458739e-02 -2.725876e-02  1.257992e-02
[21] -6.155717e-02 -9.945996e-02 -8.929429e-02  6.196209e-02 -7.348453e-02
[26] -4.645884e-02  1.850950e-02 -7.851893e-02  1.571366e-01 -4.038476e-02
[31]  7.052563e-04  2.886630e-02 -1.136074e-02 -2.449328e-02 -3.168993e-05
[36]  3.083641e-02 -7.675988e-02 -1.218824e-01  1.319105e-01  3.222070e-02
[41] -5.354224e-02 -4.291782e-02 -3.561803e-02  5.022416e-03 -1.821618e-03
[46] -6.974186e-02 -3.580066e-02  7.787229e-03
> 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/3ph8d1272545838.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/4b0oj1272545838.tab") 
> 
> try(system("convert tmp/1bpam1272545838.ps tmp/1bpam1272545838.png",intern=TRUE))
character(0)
> try(system("convert tmp/2mhs71272545838.ps tmp/2mhs71272545838.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.573   0.317   0.814