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Paper: AutoCorrelation Function d=D=0

*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: Mon, 14 Dec 2009 02:12:40 -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/14/t12607820528plac9q3qmzrzt8.htm/, Retrieved Mon, 14 Dec 2009 10:14:14 +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/14/t12607820528plac9q3qmzrzt8.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 «
423 427 441 449 452 462 455 461 461 463 462 456 455 456 472 472 471 465 459 465 468 467 463 460 462 461 476 476 471 453 443 442 444 438 427 424 416 406 431 434 418 412 404 409 412 406 398 397 385 390 413 413 401 397 397 409 419 424 428 430
 
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
10.9453387.32260
20.8705556.74330
30.8198396.35040
40.7890126.11170
50.7706545.96950
60.7332025.67940
70.6596065.10932e-06
80.5730164.43862e-05
90.5042013.90550.000121
100.4606253.5680.000357
110.4365963.38190.000636
120.3876573.00280.001948
130.2828022.19060.016189
140.1792451.38840.08507
150.1055370.81750.208442
160.0559180.43310.333234
170.0201020.15570.438391
18-0.03262-0.25270.400694
19-0.105021-0.81350.209577
20-0.185765-1.43890.077684
21-0.240125-1.860.033894
22-0.272188-2.10840.019592
23-0.296834-2.29930.012493
24-0.330595-2.56080.006489
25-0.387777-3.00370.001943
26-0.44256-3.42810.000552
27-0.464409-3.59730.000326
28-0.458644-3.55260.000375
29-0.438967-3.40020.000601
30-0.427925-3.31470.00078
31-0.427286-3.30970.000792
32-0.428072-3.31580.000777
33-0.407572-3.1570.001247
34-0.380073-2.9440.002301
35-0.354323-2.74460.00399
36-0.331756-2.56980.006339


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9453387.32260
2-0.217311-1.68330.048759
30.2315771.79380.038943
40.0684910.53050.298853
50.1072230.83050.204761
6-0.198352-1.53640.064845
7-0.255828-1.98160.026054
8-0.125948-0.97560.166593
90.0233380.18080.428576
100.0521580.4040.343821
110.1325111.02640.154405
12-0.217195-1.68240.048846
13-0.413437-3.20250.001091
140.0639350.49520.31112
150.0131990.10220.459454
160.0001330.0010.499591
170.0212830.16490.434804
18-0.037427-0.28990.386442
190.0704450.54570.293659
20-0.169246-1.3110.097431
210.0737370.57120.28501
22-0.159844-1.23810.110242
23-0.052513-0.40680.342816
240.1280320.99170.162656
250.0039090.03030.487972
26-0.091504-0.70880.240602
270.1100880.85270.198599
280.0526320.40770.342477
290.1232570.95470.17177
30-0.002336-0.01810.492811
310.09120.70640.241328
32-0.004487-0.03480.486194
33-0.02131-0.16510.434723
34-0.142634-1.10480.13682
35-0.056315-0.43620.332123
36-0.058484-0.4530.326085
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607820528plac9q3qmzrzt8/1ofut1260781959.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607820528plac9q3qmzrzt8/1ofut1260781959.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/14/t12607820528plac9q3qmzrzt8/27cxy1260781959.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607820528plac9q3qmzrzt8/27cxy1260781959.ps (open in new window)


 
Parameters (Session):
par1 = 12 ;
 
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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