R version 2.9.0 (2009-04-17)
Copyright (C) 2009 The R Foundation for Statistical Computing
ISBN 3-900051-07-0

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(277
+ ,260.6
+ ,291.6
+ ,275.4
+ ,275.3
+ ,231.7
+ ,238.8
+ ,274.2
+ ,277.8
+ ,299.1
+ ,286.6
+ ,232.3
+ ,294.1
+ ,267.5
+ ,309.7
+ ,280.7
+ ,287.3
+ ,235.7
+ ,256.4
+ ,289
+ ,290.8
+ ,321.9
+ ,291.8
+ ,241.4
+ ,295.5
+ ,258.2
+ ,306.1
+ ,281.5
+ ,283.1
+ ,237.4
+ ,274.8
+ ,299.3
+ ,300.4
+ ,340.9
+ ,318.8
+ ,265.7
+ ,322.7
+ ,281.6
+ ,323.5
+ ,312.6
+ ,310.8
+ ,262.8
+ ,273.8
+ ,320
+ ,310.3
+ ,342.2
+ ,320.1
+ ,265.6
+ ,327
+ ,300.7
+ ,346.4
+ ,317.3
+ ,326.2
+ ,270.7
+ ,278.2
+ ,324.6
+ ,321.8
+ ,343.5
+ ,354
+ ,278.2
+ ,330.2
+ ,307.3
+ ,375.9
+ ,335.3
+ ,339.3
+ ,280.3
+ ,293.7
+ ,341.2
+ ,345.1
+ ,368.7
+ ,369.4
+ ,288.4
+ ,341
+ ,319.1
+ ,374.2
+ ,344.5
+ ,337.3
+ ,281
+ ,282.2
+ ,321
+ ,325.4
+ ,366.3
+ ,380.3
+ ,300.7
+ ,359.3
+ ,327.6
+ ,383.6
+ ,352.4
+ ,329.4
+ ,294.5
+ ,333.5
+ ,334.3
+ ,358
+ ,396.1
+ ,387
+ ,307.2
+ ,363.9
+ ,344.7
+ ,397.6
+ ,376.8
+ ,337.1
+ ,299.3
+ ,323.1
+ ,329.1
+ ,347
+ ,462
+ ,436.5
+ ,360.4
+ ,415.5
+ ,382.1
+ ,432.2
+ ,424.3
+ ,386.7
+ ,354.5
+ ,375.8
+ ,368
+ ,402.4
+ ,426.5
+ ,433.3
+ ,338.5
+ ,416.8
+ ,381.1
+ ,445.7
+ ,412.4
+ ,394
+ ,348.2
+ ,380.1
+ ,373.7
+ ,393.6
+ ,434.2
+ ,430.7
+ ,344.5
+ ,411.9
+ ,370.5
+ ,437.3
+ ,411.3
+ ,385.5
+ ,341.3
+ ,384.2
+ ,373.2
+ ,415.8
+ ,448.6
+ ,454.3
+ ,350.3
+ ,419.1
+ ,398
+ ,456.1
+ ,430.1
+ ,399.8
+ ,362.7
+ ,384.9
+ ,385.3
+ ,432.3
+ ,468.9
+ ,442.7
+ ,370.2
+ ,439.4
+ ,393.9
+ ,468.7
+ ,438.8
+ ,430.1
+ ,366.3
+ ,391
+ ,380.9
+ ,431.4
+ ,465.4
+ ,471.5
+ ,387.5
+ ,446.4
+ ,421.5
+ ,504.8
+ ,492.1
+ ,421.3
+ ,396.7
+ ,428
+ ,421.9
+ ,465.6
+ ,525.8
+ ,499.9
+ ,435.3
+ ,479.5
+ ,473
+ ,554.4
+ ,489.6
+ ,462.2
+ ,420.3)
> par7 = '0.95'
> par6 = 'MA'
> par5 = '12'
> par4 = '2'
> par3 = '1'
> par2 = '1'
> par1 = '60'
> #'GNU S' R Code compiled by R2WASP v. 1.0.44 ()
> #Author: Prof. Dr. P. Wessa
> #To cite this work: AUTHOR(S), (YEAR), YOUR SOFTWARE TITLE (vNUMBER) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1crl91263299653.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2c1w01263299653.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.000000000 -0.490608899  0.208377090 -0.189829366  0.043680698
 [6] -0.067021142 -0.011663218  0.073250864  0.024423427  0.064309266
[11] -0.158650182  0.322957413 -0.657992336  0.346102280 -0.227795175
[16]  0.301203610 -0.059421472 -0.027373190  0.027122758 -0.012877155
[21] -0.076199016 -0.008277376  0.103717627 -0.125630479  0.259377265
[26] -0.202613049  0.201945156 -0.225408092 -0.026657464  0.117109091
[31] -0.073678255  0.055203894  0.010872913  0.013267130 -0.026122570
[36]  0.006342546 -0.085698963  0.126321142 -0.134325895  0.076058160
[41]  0.106104329 -0.120608118  0.086962463 -0.125687258  0.082298094
[46] -0.042516987 -0.010013630  0.060990974  0.003318814 -0.053844158
[51]  0.068253572 -0.031374690 -0.093282015  0.125606875 -0.172862643
[56]  0.228927201 -0.112314759  0.023249130  0.008236145 -0.042016119
[61] -0.007665372
> (mypacf <- c(rpacf$acf))
 [1] -0.490608899 -0.042565361 -0.137386717 -0.132346903 -0.123076166
 [6] -0.143275577 -0.006329865  0.064702800  0.116984913 -0.100230034
[11]  0.309175241 -0.529729433 -0.290423433 -0.224260328  0.010511575
[16]  0.136458284 -0.105240495 -0.097785295  0.076754344  0.021050121
[21]  0.011838185 -0.049131646  0.093825505 -0.234048175 -0.208059496
[26] -0.132157156  0.101737057 -0.039303275  0.009273658 -0.152238375
[31]  0.015145017  0.038526575  0.003489748 -0.004563247  0.035591749
[36] -0.099364736 -0.103013618 -0.090525756 -0.056766420  0.045493870
[41]  0.038593503 -0.094171863 -0.037343911  0.009523091  0.023933692
[46] -0.014246143  0.096987602 -0.050717649 -0.058218906 -0.026245887
[51] -0.066529502 -0.044013296  0.124175331 -0.164272056 -0.038925218
[56]  0.095681015  0.020699067  0.006700984  0.105955325 -0.096537268
> lengthx <- length(x)
> sqrtn <- sqrt(lengthx)
> 
> #Note: the /var/www/html/rcomp/createtable file can be downloaded at http://www.wessa.net/cretab
> load(file="/var/www/html/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/www/html/rcomp/tmp/3kp3s1263299653.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/www/html/rcomp/tmp/4j28i1263299653.tab") 
> 
> try(system("convert tmp/1crl91263299653.ps tmp/1crl91263299653.png",intern=TRUE))
character(0)
> try(system("convert tmp/2c1w01263299653.ps tmp/2c1w01263299653.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.586   0.315   0.700