R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
Copyright (C) 2013 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
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(561,549,532,526,511,499,555,565,542,527,510,514,517,508,493,490,469,478,528,534,518,506,502,516,528,533,536,537,524,536,587,597,581,564,558,575,580,575,563,552,537,545,601,604,586,564,549,551,556,548,540,531,521,519,572,581,563,548,539,541,562,559,546,536,528,530,582,599,584,571,563,565,578,572,565,561,551,553,611,622,613,599,591,596)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> 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 (par8 != '') par8 <- as.numeric(par8)
> ox <- x
> if (par8 == '') {
+ if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
+ } else {
+ x <- log(x,base=par8)
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/wessaorg/rcomp/tmp/1t5u61419934935.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> op <- par(mfrow=c(2,1))
> plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
> if (par8=='') {
+ mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
+ mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
+ } else {
+ mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
+ mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
+ }
> plot(x,type='l', main=mytitle,xlab='time',ylab='value')
> par(op)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/2aiyl1419934935.ps",horizontal=F,onefile=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=mysub)
> dev.off()
null device 
          1 
> postscript(file="/var/wessaorg/rcomp/tmp/3uxka1419934935.ps",horizontal=F,onefile=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000  0.809504374  0.536089415  0.392854484  0.372430598
 [6]  0.429697027  0.450123571  0.360501038  0.221920398  0.143933383
[11]  0.186508280  0.352375255  0.438718141  0.252239335  0.001775424
[16] -0.132560430 -0.149072067 -0.094381875 -0.064086242 -0.118764154
[21] -0.215717604 -0.257353295 -0.186684499 -0.010408426  0.111111649
[26]  0.015045388 -0.144110005 -0.210034010 -0.180262074 -0.099056184
[31] -0.041106691 -0.040747934 -0.081600590 -0.078891891  0.007278660
[36]  0.171477502  0.286341359  0.212992323  0.079165108  0.012287824
[41]  0.011632651  0.054105067  0.081838267  0.066740444  0.016605558
[46] -0.012088301  0.010608293  0.088488375  0.139931397
> (mypacf <- c(rpacf$acf))
 [1]  8.095044e-01 -3.458282e-01  2.924743e-01  8.702826e-02  2.265184e-01
 [6] -6.473510e-02 -1.147736e-01 -6.056412e-02  5.692262e-02  1.613356e-01
[11]  3.317330e-01 -1.790670e-01 -5.476456e-01  4.648413e-03 -3.156475e-02
[16] -4.614386e-02 -8.377319e-02  4.399056e-03  7.933586e-02  4.228394e-02
[21]  6.587502e-02  1.470094e-02  6.281362e-02  1.461994e-01 -6.144837e-02
[26]  1.477344e-02 -4.268675e-03 -9.633172e-03 -4.649002e-02 -3.641916e-02
[31]  1.086751e-01  1.216708e-05  8.480784e-02 -3.448025e-02  3.465349e-02
[36]  1.874672e-02 -6.372110e-02  7.406078e-04 -7.603602e-02 -6.283148e-02
[41]  3.072940e-02 -4.230101e-02  2.001184e-02 -2.032026e-02 -3.596956e-02
[46] -8.801859e-02 -8.541288e-02  3.723790e-02
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/wessaorg/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/wessaorg/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/wessaorg/rcomp/tmp/4zb1e1419934935.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/wessaorg/rcomp/tmp/5jpbx1419934935.tab") 
> 
> try(system("convert tmp/1t5u61419934935.ps tmp/1t5u61419934935.png",intern=TRUE))
character(0)
> try(system("convert tmp/2aiyl1419934935.ps tmp/2aiyl1419934935.png",intern=TRUE))
character(0)
> try(system("convert tmp/3uxka1419934935.ps tmp/3uxka1419934935.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.412   0.275   1.692