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(Partial) Autocorrelation voor het aantal mannelijke werklozen in het Vlaamse Gewest

*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, 11 Dec 2008 07:56:15 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/11/t1229007525i8o0mebxjv642do.htm/, Retrieved Thu, 11 Dec 2008 14:58:46 +0000
 
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/2008/Dec/11/t1229007525i8o0mebxjv642do.htm/},
    year = {2008},
}
@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 = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
93803 90684 87251 83606 79695 75858 89756 98707 89871 84625 81979 84525 85826 82652 81514 77360 74095 71637 84186 92713 81321 76536 73038 74940 74654 71999 68611 67430 65460 63421 76226 84540 74255 70680 67409 67938 70051 68043 67383 67028 65478 65133 78443 85418 84786 83684 80369 82361 83071 81881 80767 78375 76381 76068 94619 99126 93632 91541 90445 91621 93856 91738 89952 89365 87146 88689 108165 113374 106099 103235 98857 101107 102700 101477 99639 96622 94697 95093 112885 121162 113624 111632 106707 108827 108413 106249 104861 102382 100320 100228 117089 121523 114948 112831 107605 108928 101993 102850 99925 101536 99450 98305 110159 109483 106810 96279 91982 90276 90999 86622 83117 80367 77550 77443 92844 92175 84822 81632 78872 81485
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9124299.99520
20.7914818.67020
30.7261327.95440
40.7093037.770
50.7173887.85860
60.7117267.79660
70.6832627.48480
80.6377676.98640
90.6170636.75960
100.6353386.95980
110.7050127.7230
120.7377918.08210
130.6313526.91610
140.4987695.46370
150.4178024.57686e-06
160.3827184.19252.7e-05
170.3706194.05994.4e-05
180.3500283.83440.000101
190.3129723.42840.000416
200.2639072.8910.00228
210.2364172.58980.005395
220.2389932.6180.004991
230.2903153.18020.000936
240.3057753.34960.000541
250.2028752.22240.014066
260.0806740.88370.189302
270.006890.07550.46998
28-0.02542-0.27850.390568
29-0.032373-0.35460.361746
30-0.046467-0.5090.305837
31-0.0802-0.87850.190701
32-0.124851-1.36770.086985
33-0.148249-1.6240.053501
34-0.140758-1.54190.062862
35-0.087357-0.95690.170258
36-0.069836-0.7650.222881
37-0.155891-1.70770.045139
38-0.253861-2.78090.003148
39-0.311624-3.41370.000437
40-0.330056-3.61560.00022
41-0.324424-3.55390.000272
42-0.326313-3.57460.000253
43-0.346002-3.79030.000118
44-0.375768-4.11633.5e-05
45-0.386676-4.23582.2e-05
46-0.367747-4.02854.9e-05
47-0.308054-3.37460.000498
48-0.280842-3.07650.001298
49-0.345738-3.78740.00012
50-0.415412-4.55066e-06
51-0.44858-4.91391e-06
52-0.446001-4.88572e-06
53-0.423493-4.63914e-06
54-0.405107-4.43771e-05
55-0.40688-4.45719e-06
56-0.417498-4.57356e-06
57-0.41355-4.53027e-06
58-0.385348-4.22132.4e-05
59-0.322201-3.52950.000296
60-0.287255-3.14670.001041


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9124299.99520
2-0.245095-2.68490.004141
30.3214053.52080.000305
40.1197181.31140.096105
50.1764191.93260.027823
6-0.015167-0.16610.434163
70.023370.2560.399194
8-0.068786-0.75350.226308
90.1722211.88660.030816
100.1149571.25930.105186
110.4088154.47839e-06
12-0.240979-2.63980.004699
13-0.667116-7.30790
140.0054030.05920.476451
15-0.089913-0.9850.163315
16-0.14366-1.57370.059093
17-0.021508-0.23560.407069
18-0.037404-0.40970.341364
190.0922321.01040.15718
200.0385410.42220.336821
210.0226380.2480.402283
22-0.02949-0.3230.373611
230.1073871.17640.120889
24-0.029339-0.32140.374235
25-0.106288-1.16430.123302
26-0.00226-0.02480.490145
27-0.014586-0.15980.436662
28-0.084757-0.92850.177515
290.0931441.02030.154809
30-0.115786-1.26840.10356
31-0.070181-0.76880.221762
32-0.055131-0.60390.273515
330.0310520.34020.367164
340.0326280.35740.360702
350.0416560.45630.324494
36-0.025698-0.28150.389403
370.0291610.31940.374973
380.0526940.57720.282432
39-0.082582-0.90460.183733
40-0.017604-0.19280.423705
41-0.02271-0.24880.401981
42-0.07981-0.87430.191858
430.0572910.62760.26573
44-0.071242-0.78040.218341
45-0.014352-0.15720.43767
460.0150650.1650.434601
47-0.02342-0.25660.398981
480.0512730.56170.287696
49-0.049274-0.53980.29518
500.0498190.54570.29313
510.0654050.71650.237543
520.0181480.19880.421378
530.0017380.0190.492422
540.0606290.66420.25393
55-0.056299-0.61670.269293
560.0302420.33130.370503
57-0.079851-0.87470.191736
58-0.069639-0.76290.223523
59-0.09176-1.00520.158417
600.0646970.70870.239938
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t1229007525i8o0mebxjv642do/1zvix1229007370.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t1229007525i8o0mebxjv642do/1zvix1229007370.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t1229007525i8o0mebxjv642do/2466d1229007370.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t1229007525i8o0mebxjv642do/2466d1229007370.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; 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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Error 001_3: History of computation (impact.txt) is not saved due to a technical problem. We are sorry for this inconveniance and will correct it A.S.A.P.