R version 3.0.2 (2013-09-25) -- "Frisbee Sailing"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> x <- c(2443.6,2460.2,2448.2,2470.4,2484.7,2466.8,2487.9,2508.4,2510.5,2497.4,2532.5,2556.8,2561,2547.3,2541.5,2558.5,2587.9,2580.5,2579.6,2589.3,2595,2595.6,2588.8,2591.7,2601.7,2585.4,2573.3,2597.4,2600.6,2570.6,2569.4,2584.9,2608.8,2617.2,2621,2540.5,2554.5,2601.9,2623,2640.7,2640.7,2619.8,2624.2,2638.2,2645.7,2679.6,2669,2664.6,2663.3,2667.4,2653.2,2630.8,2626.6,2641.9,2625.8,2606,2594.4,2583.6,2588.7,2600.3,2579.5,2576.6,2597.8,2595.6,2599,2621.7,2645.6,2644.2,2625.6,2624.6,2596.2,2599.5,2584.1,2570.8,2555,2574.5,2576.7,2579,2588.7,2601.1,2575.7,2559.5,2561.1,2528.3,2514.7,2558.5,2553.3,2577.1,2566,2549.5,2527.8,2540.9,2534.2,2538,2559,2554.9,2575.5,2546.5,2561.6,2546.6,2502.9,2463.1,2472.6,2463.5,2446.3,2456.2,2471.5,2447.5,2428.6,2420.2,2414.9,2420.2,2423.8,2407,2388.7,2409.6,2392,2380.2,2423.3,2451.6,2440.8,2432.9,2413.6,2391.6,2358.1,2345.4,2384.4,2384.4,2384.4,2418.7,2420,2493.1,2493.1,2492.8)
> par8 = ''
> par7 = '0.95'
> par6 = 'White Noise'
> par5 = '12'
> par4 = '0'
> par3 = '1'
> par2 = '1'
> par1 = 'Default'
> par8 <- ''
> par7 <- '0.95'
> par6 <- 'White Noise'
> par5 <- '12'
> par4 <- '0'
> par3 <- '1'
> par2 <- '1'
> par1 <- 'Default'
> #'GNU S' R Code compiled by R2WASP v. 1.2.291 ()
> #Author: root
> #To cite this work: Wessa P., (2012), (Partial) Autocorrelation Function (v1.0.11) 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)
> 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/11h6u1438967737.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/24yh51438967737.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/3gqlm1438967737.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  0.083713768 -0.132506964  0.002132833 -0.018075118
 [6] -0.064558445  0.045491101 -0.002013256 -0.029642244  0.046982118
[11] -0.011744915  0.001425454  0.052812779  0.123913063 -0.068361224
[16] -0.121475918  0.108726831  0.047792175 -0.143976422 -0.081451156
[21]  0.141613363  0.131395825
> (mypacf <- c(rpacf$acf))
 [1]  0.083713768 -0.140499580  0.027271441 -0.040643033 -0.056510382
 [6]  0.050843126 -0.028946376 -0.012634804  0.044731680 -0.030062308
[11]  0.025725306  0.040223927  0.122806902 -0.075998468 -0.086012072
[16]  0.122898035  0.008251748 -0.124028088 -0.073894069  0.142034701
[21]  0.127185077
> 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/44r151438967737.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/5wd441438967737.tab") 
> 
> try(system("convert tmp/11h6u1438967737.ps tmp/11h6u1438967737.png",intern=TRUE))
character(0)
> try(system("convert tmp/24yh51438967737.ps tmp/24yh51438967737.png",intern=TRUE))
character(0)
> try(system("convert tmp/3gqlm1438967737.ps tmp/3gqlm1438967737.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  1.259   0.232   1.494