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ACF

*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, 17 Dec 2009 04:12:56 -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/17/t126104843504ohax9m7gtr7ns.htm/, Retrieved Thu, 17 Dec 2009 12:13:58 +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/17/t126104843504ohax9m7gtr7ns.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 «
9,9 9,8 9,3 8,3 8 8,5 10,4 11,1 10,9 10 9,2 9,2 9,5 9,6 9,5 9,1 8,9 9 10,1 10,3 10,2 9,6 9,2 9,3 9,4 9,4 9,2 9 9 9 9,8 10 9,8 9,3 9 9 9,1 9,1 9,1 9,2 8,8 8,3 8,4 8,1 7,7 7,9 7,9 8 7,9 7,6 7,1 6,8 6,5 6,9 8,2 8,7 8,3 7,9 7,5 7,8
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8553546.62550
20.5946824.60641.1e-05
30.4051293.13810.001318
40.3902793.02310.001839
50.4960223.84220.000148
60.577544.47361.7e-05
70.5281014.09076.5e-05
80.4040333.12960.001351
90.2986012.3130.012085
100.264872.05170.022287
110.2874692.22670.014866
120.2901632.24760.014145
130.2004411.55260.062888
140.0863180.66860.253152
150.0095040.07360.470779
16-0.003974-0.03080.487771
170.0196460.15220.439778
180.020040.15520.43858
19-0.040158-0.31110.378415
20-0.109327-0.84680.200224
21-0.136005-1.05350.14817
22-0.105436-0.81670.208664
23-0.049201-0.38110.352234
24-0.02888-0.22370.411873
25-0.088556-0.6860.247693
26-0.174549-1.35210.090717
27-0.222385-1.72260.045057
28-0.210476-1.63030.054134
29-0.166697-1.29120.100789
30-0.140497-1.08830.140411
31-0.170939-1.32410.095248
32-0.224759-1.7410.043407
33-0.26165-2.02670.02357
34-0.262255-2.03140.023324
35-0.237577-1.84030.035338
36-0.220917-1.71120.046104


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8553546.62550
2-0.510304-3.95280.000103
30.3697182.86380.00288
40.3603082.79090.003519
50.1032730.80.213448
6-0.08285-0.64180.261739
7-0.135978-1.05330.148218
80.1964451.52170.066675
9-0.040692-0.31520.376853
10-0.110653-0.85710.197396
110.0018650.01440.494261
12-0.097483-0.75510.22657
13-0.272275-2.1090.019562
140.1714071.32770.094651
15-0.087761-0.67980.249625
16-0.115543-0.8950.187183
17-0.004997-0.03870.484627
180.0075830.05870.476678
19-0.03778-0.29260.385404
200.039870.30880.37926
210.099330.76940.222335
220.0715490.55420.290745
23-0.007069-0.05480.478259
240.0057190.04430.482407
25-0.07181-0.55620.290058
26-0.041972-0.32510.373113
270.0138530.10730.457453
28-0.09691-0.75070.227894
29-0.104873-0.81230.209902
300.0130730.10130.459839
31-0.083393-0.6460.260384
32-0.072042-0.5580.289449
33-0.047379-0.3670.357458
34-0.009641-0.07470.47036
35-0.028217-0.21860.413864
36-0.02135-0.16540.4346
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/17/t126104843504ohax9m7gtr7ns/1hajr1261048374.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/17/t126104843504ohax9m7gtr7ns/1hajr1261048374.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/17/t126104843504ohax9m7gtr7ns/2ryhe1261048374.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/17/t126104843504ohax9m7gtr7ns/2ryhe1261048374.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; 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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