R version 3.2.4 (2016-03-10) -- "Very Secure Dishes"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(340.4,343.2,345,346.6,348.7,351.1,352.7,354.8,359.8,364.4,366.2,368.8,369.6,370.6,374.2,378.1,381,383.2,387.3,391.4,395.1,399.1,403,406.3,410.2,413.3,418.4,421.4,422.5,425.5,427.3,430.7,433.2,437.5,439.9,443,445.6,446.2,449.3,453.9,458,461.2,463.7,466,468.3,471.7,474.7,477.3,479.8,482.6,485.6,488.5,492,494.8,498.3,502.1,505.8,511.7,516.6,521.3,526.1,530.4,534.7,538.4,544.6,547.7,551.4,554.3,557.5,560.7,563.8,566.2,567.2,569.3,570.9,573,575.1,578.1,581,584.4)
> 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/1ync91458078057.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/2nd1n1458078057.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/3n57x1458078057.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  0.965119114  0.930173560  0.894802341  0.859012513
 [6]  0.822700127  0.785950996  0.748405133  0.710339329  0.672304857
[11]  0.634611562  0.596726821  0.558928670  0.520738072  0.482135437
[16]  0.444084049  0.406512319  0.370083065  0.333896642  0.298655948
[21]  0.264409285  0.231244813  0.199238619  0.168464430  0.139086033
[26]  0.110625950  0.082917721  0.056481633  0.030600456  0.004966984
[31] -0.020053685 -0.044778371 -0.068845928 -0.092532850 -0.115300048
[36] -0.137525224 -0.158900472 -0.179851290 -0.200936686 -0.221419627
[41] -0.240646278 -0.258462405 -0.274923714 -0.290635386 -0.306363531
[46] -0.321518995 -0.335618825 -0.348958389 -0.361055195
> (mypacf <- c(rpacf$acf))
 [1]  0.965119114 -0.018693444 -0.024316207 -0.024770645 -0.026844642
 [6] -0.026235145 -0.032118640 -0.028954161 -0.021585890 -0.017478604
[11] -0.025609989 -0.022291049 -0.029838526 -0.031089404 -0.017911787
[16] -0.019289678 -0.009857415 -0.022970588 -0.013317109 -0.012665183
[21] -0.011691989 -0.010791727 -0.009716210 -0.006967999 -0.013779408
[26] -0.016321473 -0.009114649 -0.019352090 -0.024346871 -0.019372417
[31] -0.023910150 -0.019091505 -0.023175599 -0.015750966 -0.020786095
[36] -0.016566295 -0.022828674 -0.031262591 -0.021167030 -0.011615557
[41] -0.008585959 -0.008878295 -0.017221892 -0.028969288 -0.021132373
[46] -0.014417472 -0.018952044 -0.011516658
> 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/4ozja1458078057.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/5aw8w1458078057.tab") 
> 
> try(system("convert tmp/1ync91458078057.ps tmp/1ync91458078057.png",intern=TRUE))
character(0)
> try(system("convert tmp/2nd1n1458078057.ps tmp/2nd1n1458078057.png",intern=TRUE))
character(0)
> try(system("convert tmp/3n57x1458078057.ps tmp/3n57x1458078057.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.072   0.182   1.264