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Maandelijkse cijfers werkloosheid 2004-2010

*Unverified author*
R Software Module: /rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Wed, 05 May 2010 14:17:11 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/May/05/t1273069099nyoafz2kgocabac.htm/, Retrieved Wed, 05 May 2010 16:18:22 +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/2010/May/05/t1273069099nyoafz2kgocabac.htm/},
    year = {2010},
}
@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 = {2010},
    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:
KDGP2W21
 
Dataseries X:
» Textbox « » Textfile « » CSV «
580 575 558 564 581 597 587 536 524 537 536 533 528 516 502 506 518 534 528 478 469 490 493 508 517 514 510 527 542 565 555 499 511 526 532 549 561 557 566 588 620 626 620 573 573 574 580 590 593 597 595 612 628 629 621 569 567 573 584 589 591 595 594 611 613 611 594 543 537 544 555 561 562
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8897167.60170
20.7212546.16240
30.6080145.19491e-06
40.5643734.8224e-06
50.5652764.82974e-06
60.5402954.61638e-06
70.4709464.02386.9e-05
80.3966473.3890.000567
90.3692813.15510.001165
100.3974733.3960.000555
110.4691234.00827.3e-05
120.4844534.13924.6e-05
130.3347732.86030.002758
140.1537891.3140.096485
150.0286410.24470.403684
16-0.026401-0.22560.411084
17-0.037907-0.32390.373478
18-0.070322-0.60080.274907
19-0.13604-1.16230.124444
20-0.199156-1.70160.046544
21-0.214639-1.83390.035374
22-0.182466-1.5590.061662
23-0.118661-1.01380.157003
24-0.104811-0.89550.186731
25-0.214246-1.83050.035627
26-0.338835-2.8950.002499
27-0.408008-3.4860.000417
28-0.415865-3.55310.000336
29-0.391138-3.34190.000657
30-0.386059-3.29850.000752
31-0.404763-3.45830.000455
32-0.414877-3.54470.000345
33-0.385445-3.29320.000764
34-0.318992-2.72550.004016
35-0.233936-1.99870.02468
36-0.186934-1.59720.057275


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8897167.60170
2-0.337518-2.88380.00258
30.2708072.31380.011749
40.1179551.00780.158438
50.1345051.14920.12711
6-0.141155-1.2060.11585
7-0.039787-0.33990.36744
80.0255390.21820.413938
90.1491.27310.103518
100.1068040.91250.182246
110.2383932.03680.022647
12-0.256792-2.1940.015708
13-0.662467-5.66010
140.1452451.2410.109294
15-0.154437-1.31950.095561
16-0.060683-0.51850.302846
170.0150820.12890.448912
180.1198971.02440.154514
19-0.029303-0.25040.401504
20-0.07177-0.61320.270824
210.0810280.69230.245471
22-0.034157-0.29180.38562
23-0.067002-0.57250.284382
240.0466120.39830.345803
25-0.006048-0.05170.479465
26-0.03939-0.33650.368713
270.0306720.26210.397006
28-0.042545-0.36350.358638
29-0.052256-0.44650.328289
30-0.003985-0.0340.486466
310.0517910.44250.329716
32-0.008041-0.06870.472706
33-0.043429-0.37110.355834
340.0835270.71370.238859
35-0.034199-0.29220.385482
360.0969160.8280.205171
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/May/05/t1273069099nyoafz2kgocabac/1bhjq1273069029.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/05/t1273069099nyoafz2kgocabac/1bhjq1273069029.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/May/05/t1273069099nyoafz2kgocabac/2bhjq1273069029.png (open in new window)
http://www.freestatistics.org/blog/date/2010/May/05/t1273069099nyoafz2kgocabac/2bhjq1273069029.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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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Software written by Ed van Stee & Patrick Wessa


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