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*The author of this computation has been verified*
R Software Module: /rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Thu, 03 Dec 2009 03:03:52 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/03/t1259834687nng6ycmak2yza64.htm/, Retrieved Thu, 03 Dec 2009 11:04:49 +0100
 
BibTeX entries for LaTeX users:
@Manual{KEY,
    author = {{YOUR NAME}},
    publisher = {Office for Research Development and Education},
    title = {Statistical Computations at FreeStatistics.org, URL http://www.freestatistics.org/blog/date/2009/Dec/03/t1259834687nng6ycmak2yza64.htm/},
    year = {2009},
}
@Manual{R,
    title = {R: A Language and Environment for Statistical Computing},
    author = {{R Development Core Team}},
    organization = {R Foundation for Statistical Computing},
    address = {Vienna, Austria},
    year = {2009},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
21790 13253 37702 30364 32609 30212 29965 28352 25814 22414 20506 28806 22228 13971 36845 35338 35022 34777 26887 23970 22780 17351 21382 24561 17409 11514 31514 27071 29462 26105 22397 23843 21705 18089 20764 25316 17704 15548 28029 29383 36438 32034 22679 24319 18004 17537 20366 22782 19169 13807 29743 25591 29096 26482 22405 27044 17970 18730 19684 19785 18479 10698 31956 29506 34506 27165 26736 23691 18157 17328 18205 20995 17382 9367 31124 26551 30651 25859 25100 25778 20418 18688 20424 24776 19814 12738 31566 30111 30019 31934 25826 26835 20205 17789 20520 22518 15572 11509 25447 24090 27786 26195 20516 22759 19028 16971 20036 22485 18730
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.22662.36580.00988
20.0170030.17750.429715
3-0.010589-0.11060.456086
4-0.077449-0.80860.210255
5-0.156139-1.63010.052979
6-0.316535-3.30470.000644
7-0.177953-1.85790.032942
8-0.060659-0.63330.263931
9-0.025432-0.26550.395554
10-0.059867-0.6250.266629
110.182971.91030.029363
120.7972538.32360
130.1447551.51130.066805
14-0.021453-0.2240.411598
15-0.05291-0.55240.290905
16-0.130334-1.36070.088203
17-0.162343-1.69490.046474
18-0.330731-3.45290.000395
19-0.182089-1.90110.029967
20-0.065111-0.67980.249042
21-0.076834-0.80220.212099
22-0.068353-0.71360.238491
230.174341.82020.035739
240.6841877.14310
250.1556051.62460.053572
260.0085380.08910.464567
27-0.041799-0.43640.331706
28-0.087848-0.91720.180541
29-0.115791-1.20890.11466
30-0.282084-2.9450.001974
31-0.128633-1.3430.091036
32-0.059253-0.61860.268729
33-0.067721-0.7070.240528
34-0.044201-0.46150.322692
350.1520151.58710.057695
360.5463855.70440


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.22662.36580.00988
2-0.036203-0.3780.353094
3-0.006732-0.07030.472048
4-0.076899-0.80280.211905
5-0.128667-1.34330.090978
6-0.274561-2.86650.002491
7-0.07285-0.76060.224277
8-0.036471-0.38080.352057
9-0.039951-0.41710.338713
10-0.121759-1.27120.103181
110.1520741.58770.057626
120.7621937.95750
13-0.301994-3.15290.001044
14-0.187328-1.95580.026526
15-0.023412-0.24440.403681
16-0.086704-0.90520.183675
17-0.035909-0.37490.354231
18-0.022593-0.23590.406984
190.0159660.16670.433959
20-0.112098-1.17030.12221
21-0.136639-1.42660.078284
220.1741511.81820.035891
230.0146750.15320.439258
240.0316710.33070.370771
250.1183681.23580.109595
260.0061030.06370.474656
27-0.062639-0.6540.257255
280.1260511.3160.095466
290.0657460.68640.246956
30-0.004297-0.04490.482151
310.0095550.09980.46036
32-0.049837-0.52030.301949
330.060280.62930.265221
340.0054550.0570.477343
35-0.056988-0.5950.276548
36-0.132888-1.38740.084077
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259834687nng6ycmak2yza64/1p5kj1259834630.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259834687nng6ycmak2yza64/1p5kj1259834630.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/03/t1259834687nng6ycmak2yza64/29yxy1259834630.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/03/t1259834687nng6ycmak2yza64/29yxy1259834630.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = -0.5 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = -0.5 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
R code (references can be found in the software module):
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)
bitmap(file='pic1.png')
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()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='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='mytable.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='mytable1.tab')
 





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Software written by Ed van Stee & Patrick Wessa


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