Home » date » 2009 » May » 14 »

opgave 6 bis oef 2.1 werkloosheid belgie. umran celik

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Thu, 14 May 2009 07:55:41 -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/May/14/t1242309403awuydr1g6jtfqd8.htm/, Retrieved Thu, 14 May 2009 15:56:44 +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/May/14/t1242309403awuydr1g6jtfqd8.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 «
580 579 572 560 551 537 541 588 607 599 578 563 566 561 554 540 526 512 505 554 584 569 540 522 526 527 516 503 489 479 475 524 552 532 511 492 492 493 481 462 457 442 439 488 521 501 485 464 460 467 460 448 443 436 431 484 510 513 503 471 471 476 475 470 461 455 456 517 525 523 519 509 512 519 517 510 509 501 507 569 580 578 565 547 555 562 561 555 544 537 543 594 611 613 611 594 595 591 589 584 573 567 569 621 629 628 612 595 597 593 590 580 574 573 573 620 626 620 588 566 557 561 549 532 526 511 499 555 565 542 527 510 514 517 508 493 490 469 478 528 534 518 506 502 516
 
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
10.91663511.03770
20.783959.440
30.6896558.30450
40.6531397.86480
50.6612487.96250
60.6604957.95340
70.6264947.5440
80.5779326.95920
90.567436.83280
100.6083347.32530
110.6868548.27080
120.7192368.66080
130.6135037.38760
140.4666345.6190
150.3534694.25631.9e-05
160.295623.55970.000251
170.2822623.39890.000437
180.26143.14770.000999
190.2140292.57730.005478
200.1552941.870.031751
210.1318051.58710.05733
220.15681.88810.030504
230.2147132.58550.005355
240.230262.77270.003145
250.1275081.53540.063432
26-0.00936-0.11270.455208
27-0.113779-1.37010.086389
28-0.16588-1.99750.023823
29-0.175775-2.11660.018
30-0.190626-2.29540.011571
31-0.227163-2.73540.003504
32-0.274021-3.29960.000609
33-0.28865-3.47580.000336
34-0.259502-3.12480.001075
35-0.200607-2.41560.008476
36-0.177733-2.14020.017006
37-0.258847-3.11690.001102
38-0.369829-4.45338e-06
39-0.452345-5.4470
40-0.483744-5.8250
41-0.476653-5.73970
42-0.471215-5.67420
43-0.486343-5.85630
44-0.511867-6.16370
45-0.507328-6.1090
46-0.462259-5.56630
47-0.391894-4.7193e-06
48-0.353531-4.25711.9e-05


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.91663511.03770
2-0.352166-4.24062e-05
30.2915093.51020.000298
40.1536161.84980.033191
50.1812782.18290.015327
6-0.090977-1.09550.137555
7-0.011687-0.14070.444137
80.0353960.42620.335287
90.2722233.2780.000654
100.1537771.85170.03305
110.2869383.45520.000361
12-0.270425-3.25630.000703
13-0.711798-8.57120
140.1247581.50230.0676
15-0.137507-1.65580.049962
16-0.109784-1.3220.094129
17-0.079362-0.95560.17042
18-0.115186-1.3870.083782
190.0983861.18470.119033
200.0099810.12020.452252
210.0198170.23860.405863
220.0444740.53550.29655
23-0.054067-0.65110.25802
240.0539080.64910.258636
25-0.100554-1.21080.113965
260.0049270.05930.476388
270.016480.19840.421487
28-0.092528-1.11420.133523
29-0.000775-0.00930.496284
30-0.007328-0.08820.464905
31-0.024014-0.28920.386431
32-0.011115-0.13380.446858
33-0.034789-0.41890.337951
34-0.024801-0.29860.382819
350.0221990.26730.394804
360.0284040.3420.366413
37-0.077436-0.93250.176325
38-0.00455-0.05480.478189
39-0.047351-0.57020.284717
400.0592790.71380.238243
41-0.080773-0.97260.166176
420.0375080.45170.326098
43-0.081821-0.98530.163069
440.0062060.07470.470266
450.0280430.33770.368043
460.0064120.07720.469283
47-0.055146-0.66410.253856
480.0361260.4350.332101
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/14/t1242309403awuydr1g6jtfqd8/1uuxo1242309340.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/14/t1242309403awuydr1g6jtfqd8/1uuxo1242309340.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/14/t1242309403awuydr1g6jtfqd8/2rrg71242309340.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/14/t1242309403awuydr1g6jtfqd8/2rrg71242309340.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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