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(7263.63
+ ,7135.88
+ ,7008.00
+ ,6752.38
+ ,9339.00
+ ,9211.13
+ ,7263.63
+ ,5970.38
+ ,6098.13
+ ,6098.13
+ ,6226.00
+ ,6495.50
+ ,5714.75
+ ,4932.75
+ ,4292.38
+ ,4292.38
+ ,6752.38
+ ,7008.00
+ ,5060.50
+ ,2857.38
+ ,4022.88
+ ,4022.88
+ ,4932.75
+ ,5457.88
+ ,5330.00
+ ,4022.88
+ ,4677.13
+ ,4420.25
+ ,6623.38
+ ,6098.13
+ ,4022.88
+ ,2472.75
+ ,3895.00
+ ,4292.38
+ ,4677.13
+ ,5188.38
+ ,4150.63
+ ,3254.75
+ ,3639.50
+ ,3767.25
+ ,7135.88
+ ,7135.88
+ ,5188.38
+ ,4932.75
+ ,5714.75
+ ,5330.00
+ ,6367.75
+ ,7661.00
+ ,7917.88
+ ,6098.13
+ ,5585.63
+ ,5060.50
+ ,8570.88
+ ,8827.75
+ ,8173.50
+ ,8827.75
+ ,8698.63
+ ,7661.00
+ ,8827.75
+ ,10121.00
+ ,10646.13
+ ,9083.38
+ ,8045.63
+ ,8827.75
+ ,12196.25
+ ,13234.00
+ ,12978.38
+ ,13489.50
+ ,13361.75
+ ,12068.50
+ ,14271.63
+ ,14796.75
+ ,15564.88
+ ,13234.00
+ ,12324.13
+ ,13361.75
+ ,15834.38
+ ,18037.50
+ ,17512.38
+ ,17512.38
+ ,17769.25
+ ,16872.00
+ ,19204.25
+ ,19204.25
+ ,18806.88
+ ,16602.50
+ ,16999.88
+ ,17256.75
+ ,18947.38
+ ,21150.50
+ ,19587.63
+ ,20369.75
+ ,19715.50
+ ,19332.00
+ ,22317.25
+ ,21663.00
+ ,20753.13
+ ,19459.88
+ ,20753.13
+ ,21407.38
+ ,22188.13
+ ,23225.75
+ ,22188.13
+ ,22828.50
+ ,22047.63
+ ,21919.88
+ ,25160.63
+ ,25430.13
+ ,24392.50
+ ,22572.88
+ ,24123.00
+ ,24776.00
+ ,25558.00
+ ,26723.50
+ ,25558.00
+ ,26467.88
+ ,26070.50
+ ,24648.13
+ ,27633.25
+ ,27633.25)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '0'
> par2 = '1'
> par1 = '48'
> par8 <- ''
> par7 <- '0.95'
> par6 <- 'White Noise'
> par5 <- '12'
> par4 <- '0'
> par3 <- '0'
> par2 <- '1'
> par1 <- '48'
> #'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/1wsfc1470746599.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/2euic1470746599.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/384651470746599.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  0.966415556  0.931663930  0.911826754  0.897320254
 [6]  0.887642267  0.873800250  0.846518959  0.815093799  0.787611811
[11]  0.770882040  0.765645759  0.754209036  0.715799516  0.676715020
[16]  0.651219926  0.632167945  0.616301460  0.597813447  0.566949514
[21]  0.531611648  0.500930496  0.480795988  0.469309071  0.452553104
[26]  0.415318296  0.376305735  0.349466433  0.325371620  0.305217981
[31]  0.284924211  0.250773807  0.215135111  0.185300814  0.165622233
[36]  0.152000024  0.131166801  0.095611976  0.059587626  0.031897312
[41]  0.003854163 -0.016648767 -0.035909726 -0.066429114 -0.098183583
[46] -0.123796355 -0.138449905 -0.149948833 -0.167091576
> (mypacf <- c(rpacf$acf))
 [1]  0.966415556 -0.034752623  0.208415485  0.063766296  0.117393134
 [6] -0.037904140 -0.169764961 -0.089850537 -0.040234267  0.096083356
[11]  0.158376391 -0.025330689 -0.334452447 -0.030767543  0.064340843
[16]  0.019982904 -0.002382755  0.007743694 -0.062071825 -0.037212629
[21] -0.031931328  0.010410848  0.031309038  0.016602291 -0.133460343
[26] -0.049393538  0.018731013 -0.074219948  0.005434920  0.017239243
[31] -0.079187193  0.027799083 -0.018734668  0.026983907 -0.021643005
[36] -0.042848809 -0.054524156 -0.031963858 -0.030207498 -0.122958070
[41]  0.051234626  0.020082995 -0.002534129  0.005901838 -0.015458955
[46]  0.058251629 -0.040548591 -0.009777383
> 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/43owb1470746599.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/553rc1470746599.tab") 
> 
> try(system("convert tmp/1wsfc1470746599.ps tmp/1wsfc1470746599.png",intern=TRUE))
character(0)
> try(system("convert tmp/2euic1470746599.ps tmp/2euic1470746599.png",intern=TRUE))
character(0)
> try(system("convert tmp/384651470746599.ps tmp/384651470746599.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.249   0.092   1.362