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

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You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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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 = '0'
> par2 = '0.6'
> 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$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_YOURPAGE.wasp/
> #Source of accompanying publication: Office for Research, Development, and Education
> #Technical description: 
> if (par1 == 'Default') {
+ par1 = 10*log10(length(x))
+ } else {
+ par1 <- as.numeric(par1)
+ }
> par2 <- as.numeric(par2)
> par3 <- as.numeric(par3)
> par4 <- as.numeric(par4)
> par5 <- as.numeric(par5)
> if (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
> par7 <- as.numeric(par7)
> if (par2 == 0) {
+ x <- log(x)
+ } else {
+ x <- (x ^ par2 - 1) / par2
+ }
> if (par3 > 0) x <- diff(x,lag=1,difference=par3)
> if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
> postscript(file="/var/www/html/rcomp/tmp/1gjo71263299737.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
> dev.off()
null device 
          1 
> postscript(file="/var/www/html/rcomp/tmp/2usrr1263299737.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) 
> rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
> dev.off()
null device 
          1 
> (myacf <- c(racf$acf))
 [1]  1.0000000000  0.4696863220  0.4475799986  0.1886788954  0.1546529674
 [6]  0.0695340908  0.0750973511  0.0831958565  0.0107186545 -0.0846081287
[11] -0.2696388606 -0.2737111279 -0.5988955408 -0.2269149605 -0.2204844006
[16]  0.0333586598 -0.0428409161 -0.0453770557 -0.0450465538 -0.0688694930
[21] -0.0754096234  0.0038546272  0.0944250792  0.0736613009  0.1692956038
[26] -0.0093642023  0.0247550943 -0.1517992912 -0.0860329416 -0.0019139226
[31] -0.0239926777  0.0305457728  0.0265852117 -0.0032782455 -0.0393253139
[36] -0.0465658110 -0.0568382903  0.0223242179 -0.0220526179  0.0711570291
[41]  0.0826521164 -0.0167625911  0.0038896705 -0.0604939436 -0.0009206897
[46] -0.0143417026  0.0160385207  0.0495801520  0.0203839239 -0.0023637374
[51]  0.0094629739 -0.0436718448 -0.0644793666  0.0191996447 -0.0345779307
[56]  0.0881012015 -0.0229055447 -0.0215018341 -0.0528229106 -0.0845148530
[61] -0.0745642402
> (mypacf <- c(rpacf$acf))
 [1]  0.4696863220  0.2912192505 -0.1361347098 -0.0033237287  0.0145947761
 [6]  0.0287769726  0.0584689625 -0.0891991495 -0.1557354744 -0.2543546331
[11] -0.0539867582 -0.4823726839  0.3636351050  0.1910780918  0.1447743671
[16] -0.0610748305 -0.1722467389  0.0701078363  0.0212262680 -0.1519430863
[21] -0.0755171659 -0.0965590262 -0.0369152525 -0.1871564187  0.1521585177
[26]  0.1552052892  0.0716234574 -0.1501843576  0.0177711079 -0.0359317049
[31]  0.0824864592 -0.0764799856 -0.0923987442 -0.0325723909 -0.0348509040
[36] -0.1058151948  0.0336299869  0.0699752550  0.0626249495  0.0383904886
[41] -0.0616240554 -0.0557386888  0.0675851122 -0.0110868793 -0.0506612762
[46] -0.0300596963 -0.0005125521 -0.1276497613  0.0253128013  0.0222447799
[51]  0.0067118604  0.0528318444  0.0317423518 -0.1465315462  0.1330450714
[56] -0.0026605898 -0.1387389242 -0.0613007103 -0.0324548488 -0.1396469317
> 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/3fvey1263299737.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/43ogz1263299737.tab") 
> 
> try(system("convert tmp/1gjo71263299737.ps tmp/1gjo71263299737.png",intern=TRUE))
character(0)
> try(system("convert tmp/2usrr1263299737.ps tmp/2usrr1263299737.png",intern=TRUE))
character(0)
> 
> 
> proc.time()
   user  system elapsed 
  0.593   0.312   0.704