R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(14724.00
+ ,14404.00
+ ,14058.00
+ ,13427.00
+ ,19946.00
+ ,19631.00
+ ,14724.00
+ ,11462.00
+ ,11778.00
+ ,11778.00
+ ,12093.00
+ ,12760.00
+ ,13742.00
+ ,13427.00
+ ,11462.00
+ ,11778.00
+ ,20929.00
+ ,22893.00
+ ,17666.00
+ ,14724.00
+ ,15387.00
+ ,15707.00
+ ,17351.00
+ ,18964.00
+ ,19315.00
+ ,16022.00
+ ,16369.00
+ ,12093.00
+ ,24222.00
+ ,27800.00
+ ,19631.00
+ ,17004.00
+ ,18649.00
+ ,20613.00
+ ,23555.00
+ ,27164.00
+ ,27164.00
+ ,24853.00
+ ,23871.00
+ ,17982.00
+ ,27800.00
+ ,32391.00
+ ,28462.00
+ ,24222.00
+ ,24853.00
+ ,27164.00
+ ,30426.00
+ ,34355.00
+ ,31724.00
+ ,30111.00
+ ,30111.00
+ ,24853.00
+ ,32391.00
+ ,37297.00
+ ,33373.00
+ ,29129.00
+ ,30426.00
+ ,35653.00
+ ,37964.00
+ ,41222.00
+ ,38595.00
+ ,34355.00
+ ,33373.00
+ ,25520.00
+ ,30742.00
+ ,36315.00
+ ,30111.00
+ ,26502.00
+ ,30111.00
+ ,33689.00
+ ,35653.00
+ ,40906.00
+ ,38280.00
+ ,31724.00
+ ,32391.00
+ ,26186.00
+ ,31409.00
+ ,36000.00
+ ,30742.00
+ ,27164.00
+ ,30426.00
+ ,34355.00
+ ,33689.00
+ ,41542.00
+ ,40244.00
+ ,35017.00
+ ,35333.00
+ ,28462.00
+ ,32706.00
+ ,39262.00
+ ,34355.00
+ ,31409.00
+ ,36315.00
+ ,39262.00
+ ,36982.00
+ ,47431.00
+ ,44835.00
+ ,38946.00
+ ,37297.00
+ ,29764.00
+ ,34035.00
+ ,37964.00
+ ,33053.00
+ ,33053.00
+ ,38595.00
+ ,41542.00
+ ,39924.00
+ ,51355.00
+ ,48413.00
+ ,42871.00
+ ,40560.00
+ ,32391.00
+ ,35333.00
+ ,40560.00
+ ,36631.00
+ ,35653.00
+ ,40244.00
+ ,44168.00
+ ,39924.00
+ ,50057.00)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = 'Default'
> par8 <- ''
> par7 <- '0.95'
> par6 <- 'White Noise'
> par5 <- '12'
> par4 <- '0'
> par3 <- '0'
> par2 <- '1'
> par1 <- 'Default'
> #'GNU S' R Code compiled by R2WASP v. 1.2.327 (Mon, 30 Nov 2015 06:58:35 +0000)
> #Author: root
> #To cite this work: Wessa P., (2015), (Partial) Autocorrelation Function (v1.0.12) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_autocorrelation.wasp/
> #Source of accompanying publication: 
> #
> 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)
> x <- na.omit(x)
> 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/1d1g11470758883.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/2dz2x1470758883.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/3j45u1470758883.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] 1.0000000 0.8693964 0.7655391 0.7234507 0.6869494 0.7041360 0.7237882
 [8] 0.6777770 0.6272057 0.6274672 0.6137862 0.6640125 0.7229779 0.6004007
[15] 0.4949678 0.4472461 0.4097237 0.4234837 0.4483450 0.4073353 0.3487520
> (mypacf <- c(rpacf$acf))
 [1]  0.869396355  0.039684876  0.204313070  0.048745264  0.279621020
 [6]  0.120374603 -0.114177661 -0.029160126  0.167294404 -0.022763207
[11]  0.294578494  0.151091497 -0.593768938 -0.118956089 -0.003852161
[16] -0.027314997  0.010667371  0.048608135  0.022845837 -0.089413176
> 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/4kmgu1470758883.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/5udh91470758883.tab") 
> 
> try(system("convert tmp/1d1g11470758883.ps tmp/1d1g11470758883.png",intern=TRUE))
character(0)
> try(system("convert tmp/2dz2x1470758883.ps tmp/2dz2x1470758883.png",intern=TRUE))
character(0)
> try(system("convert tmp/3j45u1470758883.ps tmp/3j45u1470758883.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.162   0.132   1.316