Home » date » 2008 » Dec » 21 »

Werkloosheid - Jongeren < 25 jaar - ACF

*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: Sun, 21 Dec 2008 04:12:46 -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/21/t1229858050p8tom4nlypxnr4w.htm/, Retrieved Sun, 21 Dec 2008 12:14:12 +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/2008/Dec/21/t1229858050p8tom4nlypxnr4w.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},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
21.1 21 20.4 19.5 18.6 18.8 23.7 24.8 25 23.6 22.3 21.8 20.8 19.7 18.3 17.4 17 18.1 23.9 25.6 25.3 23.6 21.9 21.4 20.6 20.5 20.2 20.6 19.7 19.3 22.8 23.5 23.8 22.6 22 21.7 20.7 20.2 19.1 19.5 18.7 18.6 22.2 23.2 23.5 21.3 20 18.7 18.9 18.3 18.4 19.9 19.2 18.5 20.9 20.5 19.4 18.1 17 17
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.7444675.76660
20.3376722.61560.005625
3-0.027069-0.20970.417315
4-0.251447-1.94770.028067
5-0.318764-2.46910.008204
6-0.302264-2.34130.011277
7-0.236405-1.83120.036019
8-0.123942-0.96010.170441
90.0634870.49180.31234
100.2701292.09240.02032
110.479173.71160.000226
120.5801164.49361.6e-05
130.3538542.74090.00403
140.0553960.42910.334694
15-0.177271-1.37310.08741
16-0.256346-1.98560.025824
17-0.236383-1.8310.036032
18-0.188156-1.45750.075103
19-0.147648-1.14370.12865
20-0.103046-0.79820.213954
21-0.015334-0.11880.452924
220.0753960.5840.280699
230.2051361.5890.058661
240.286572.21980.015113
250.1615971.25170.107764
26-0.035263-0.27310.39284
27-0.205555-1.59220.058295
28-0.264003-2.0450.022626
29-0.241159-1.8680.033323
30-0.174861-1.35450.090333
31-0.123869-0.95950.170582
32-0.064073-0.49630.310746
330.0143510.11120.45593
340.0634610.49160.312409
350.114230.88480.189892
360.1228220.95140.172615
370.0017280.01340.494682
38-0.145138-1.12420.132696
39-0.229289-1.77610.040397
40-0.195882-1.51730.067222
41-0.087873-0.68070.249353
420.0280760.21750.414287
430.0546220.42310.336867
440.044620.34560.365417
450.0188270.14580.44227
46-0.019766-0.15310.439413
47-0.041584-0.32210.374246
48-0.053455-0.41410.340154


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7444675.76660
2-0.485808-3.76310.000192
3-0.114259-0.8850.189832
4-0.049323-0.38210.351887
5-0.025084-0.19430.423299
6-0.120114-0.93040.177947
7-0.030228-0.23410.407836
80.0530050.41060.341423
90.2033371.5750.060253
100.1279190.99090.162868
110.3063482.3730.010434
120.1227880.95110.172682
13-0.50029-3.87520.000133
140.2792582.16310.017263
150.0547140.42380.33661
160.0443160.34330.366296
17-0.143708-1.11320.13504
18-0.005688-0.04410.482502
19-0.056884-0.44060.330534
20-0.091849-0.71150.239778
21-0.060103-0.46560.321608
220.0044460.03440.486321
230.0566950.43920.331064
24-0.034869-0.27010.394007
25-0.042029-0.32560.372948
26-0.08932-0.69190.245843
27-0.052621-0.40760.342508
28-0.097093-0.75210.227471
290.0540990.4190.338339
300.0494410.3830.351549
31-0.051398-0.39810.345974
320.0419930.32530.37305
33-0.012225-0.09470.462438
34-0.038963-0.30180.38192
35-0.138826-1.07530.143264
36-0.005439-0.04210.483268
37-0.040563-0.31420.377229
380.0679580.52640.300275
390.0457990.35480.362006
400.0703090.54460.294021
410.0310780.24070.405294
42-0.038404-0.29750.383566
43-0.106477-0.82480.206386
440.0223670.17330.431518
45-0.038627-0.29920.382909
460.0102360.07930.468534
47-0.061796-0.47870.316957
480.000870.00670.497324
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229858050p8tom4nlypxnr4w/1rxze1229857964.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229858050p8tom4nlypxnr4w/1rxze1229857964.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229858050p8tom4nlypxnr4w/27pb01229857964.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229858050p8tom4nlypxnr4w/27pb01229857964.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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