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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, 26 Nov 2009 03:05:01 -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/Nov/26/t12592299548ifmqsvzigsdefr.htm/, Retrieved Thu, 26 Nov 2009 11:05:57 +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/Nov/26/t12592299548ifmqsvzigsdefr.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 «
392 394 392 396 392 396 419 421 420 418 410 418 426 428 430 424 423 427 441 449 452 462 455 461 461 463 462 456 455 456 472 472 471 465 459 465 468 467 463 460 462 461 476 476 471 453 443 442 444 438 427 424 416 406 431 434 418 412 404 409 412
 
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
10.0071110.04930.480455
20.0506420.35090.363616
30.0732550.50750.307055
4-0.027333-0.18940.425302
5-0.042028-0.29120.386084
6-0.029947-0.20750.418256
7-0.032256-0.22350.412057
8-0.025738-0.17830.429612
90.0059250.0410.483715
10-0.250575-1.7360.044487
11-0.024208-0.16770.433754
12-0.199266-1.38060.086906
13-0.086235-0.59750.276506
140.0353250.24470.403851
150.0920580.63780.263319
160.0075660.05240.479207
17-0.034722-0.24060.405459
180.1435060.99420.162546
190.1105640.7660.22371
200.104250.72230.236818
210.0081130.05620.477705
22-0.037216-0.25780.398816
230.08160.56530.287238
24-0.184171-1.2760.104052
25-0.098659-0.68350.248779
26-0.17032-1.180.121906
270.0181450.12570.450244
28-0.096981-0.67190.252433
290.0047010.03260.487077
30-0.018747-0.12990.4486
31-0.155606-1.07810.143196
320.0210650.14590.442289
33-0.059273-0.41070.341575
340.0502710.34830.364574
350.0264520.18330.427681
36-0.020731-0.14360.443197


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0071110.04930.480455
20.0505940.35050.36374
30.0727430.5040.30829
4-0.030856-0.21380.415814
5-0.049574-0.34350.366378
6-0.032263-0.22350.412038
7-0.023224-0.16090.436425
8-0.016481-0.11420.454785
90.0112340.07780.469143
10-0.251216-1.74050.044092
11-0.026887-0.18630.426505
12-0.194622-1.34840.091932
13-0.058552-0.40570.343398
140.0353010.24460.403916
150.1079560.74790.229073
16-0.01506-0.10430.458668
17-0.09069-0.62830.266386
180.1112350.77070.222342
190.136950.94880.173732
200.0673490.46660.321447
21-0.016639-0.11530.454354
22-0.171892-1.19090.119775
230.0418970.29030.386429
24-0.218079-1.51090.068685
25-0.066676-0.46190.323105
26-0.206473-1.43050.079528
270.056450.39110.348728
28-0.051825-0.35910.360564
290.044650.30930.379199
300.0436390.30230.381849
31-0.097041-0.67230.252302
320.0360640.24990.401881
33-0.064475-0.44670.328552
34-0.092586-0.64150.262139
35-0.01241-0.0860.465919
36-0.262054-1.81560.037843
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/26/t12592299548ifmqsvzigsdefr/1l8kj1259229899.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t12592299548ifmqsvzigsdefr/1l8kj1259229899.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/26/t12592299548ifmqsvzigsdefr/2mpeb1259229899.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t12592299548ifmqsvzigsdefr/2mpeb1259229899.ps (open in new window)


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