Home » date » 2009 » Jun » 07 »

autocorrelation -- vracht (in ton) Antwerp Airport 2002-2007

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Sun, 07 Jun 2009 11:36:09 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Jun/07/t1244396238ncmzifsns5dtuto.htm/, Retrieved Sun, 07 Jun 2009 19:37:21 +0200
 
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/Jun/07/t1244396238ncmzifsns5dtuto.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 «
517 540 454 292 445 483 545 355 370 372 422 445 471 413 307 308 389 377 521 420 413 384 466 434 263 334 334 416 309 334 350 337 277 439 433 455 372 409 471 382 417 405 410 357 360 329 359 393 448 593 535 449 742 631 513 526 677 631 547 533 433 427 470 418 485 464 439 452 423 537 384 380
 
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
10.5667184.80884e-06
20.3625983.07670.001479
30.3468612.94320.002185
40.4133163.50710.000392
50.3138522.66310.004773
60.2096281.77880.039751
70.1812221.53770.06425
80.0718380.60960.272035
9-0.012717-0.10790.457184
100.0200980.17050.432531
110.0412350.34990.363722
120.068970.58520.28011
13-0.016284-0.13820.445244
14-0.016032-0.1360.446085
150.0632560.53670.29655
160.0808540.68610.247437
170.1125490.9550.171384
18-0.021029-0.17840.429441
19-0.045879-0.38930.349105
20-0.113158-0.96020.170091
21-0.088472-0.75070.227636
22-0.084926-0.72060.236739
23-0.157595-1.33720.092677
24-0.264636-2.24550.013903
25-0.230792-1.95830.027032
26-0.232268-1.97090.026292
27-0.210448-1.78570.039178
28-0.24965-2.11840.018799
29-0.117788-0.99950.160459
30-0.120351-1.02120.155287
31-0.117428-0.99640.161194
32-0.151358-1.28430.101575
33-0.138089-1.17170.122585
34-0.046521-0.39470.347099
35-0.11905-1.01020.157897
36-0.078712-0.66790.25317
37-0.106453-0.90330.184695
38-0.109784-0.93150.177342
39-0.099744-0.84640.20008
40-0.09205-0.78110.218661
41-0.125745-1.0670.144772
42-0.124345-1.05510.147454
43-0.115473-0.97980.165228
44-0.082451-0.69960.24321
45-0.116297-0.98680.163519
46-0.007564-0.06420.474501
470.0153130.12990.448489
48-0.013138-0.11150.455774


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5667184.80884e-06
20.0610290.51790.303075
30.1764371.49710.069367
40.2203731.86990.03278
5-0.038311-0.32510.373031
6-0.033317-0.28270.389109
70.0028570.02420.490364
8-0.181577-1.54070.063883
9-0.095397-0.80950.210456
100.0645010.54730.292929
110.0158470.13450.446706
120.1373851.16580.123781
13-0.044254-0.37550.354194
140.0113530.09630.461763
150.1102340.93540.176363
16-0.021209-0.180.428844
170.0796420.67580.250672
18-0.209305-1.7760.039978
19-0.084427-0.71640.238036
20-0.158817-1.34760.091006
21-0.023255-0.19730.422065
220.0066630.05650.477534
23-0.059234-0.50260.308382
24-0.11557-0.98060.165026
250.1102960.93590.176229
26-0.073576-0.62430.267197
270.0090640.07690.469453
28-0.05432-0.46090.323121
290.1274031.08110.14164
300.0089780.07620.469744
310.0123640.10490.45837
32-0.153387-1.30150.098613
33-0.113737-0.96510.168865
340.0594430.50440.307765
35-0.101399-0.86040.196214
360.125431.06430.145372
37-0.072619-0.61620.269854
38-0.004752-0.04030.483973
390.0854550.72510.235368
400.0114480.09710.461443
41-0.108366-0.91950.180448
42-0.007168-0.06080.475833
43-0.047662-0.40440.343551
44-0.044096-0.37420.354689
45-0.034838-0.29560.38419
460.0197250.16740.433772
470.0770440.65370.257681
48-0.066051-0.56050.288452
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/07/t1244396238ncmzifsns5dtuto/1cj1i1244396168.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/07/t1244396238ncmzifsns5dtuto/1cj1i1244396168.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/07/t1244396238ncmzifsns5dtuto/2zs571244396168.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/07/t1244396238ncmzifsns5dtuto/2zs571244396168.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
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 (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='lags',ylab='ACF')
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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