Home » date » 2008 » Dec » 21 »

Werkloosheid - Jongeren < 25 jaar - ACF 2

*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 04:17:43 -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/t1229858308syd7cq2r898gkyb.htm/, Retrieved Sun, 21 Dec 2008 12:18:30 +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/t1229858308syd7cq2r898gkyb.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'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.814625.64390
20.4459433.08960.001665
30.0448110.31050.378778
4-0.194963-1.35070.091556
5-0.195951-1.35760.090471
6-0.014776-0.10240.459445
70.2215081.53470.065717
80.3578622.47930.008363
90.3484922.41440.009811
100.1687321.1690.124086
11-0.046458-0.32190.374474
12-0.205021-1.42040.080974
13-0.221362-1.53360.065842
14-0.096575-0.66910.253321
150.0706060.48920.313474
160.1771951.22760.112784
170.1355690.93920.176153
18-0.023638-0.16380.435301
19-0.204731-1.41840.081265
20-0.320377-2.21960.015601
21-0.313969-2.17520.017284
22-0.193129-1.3380.093595
23-0.012507-0.08670.465655
240.1223730.84780.200372
250.1550831.07440.143998
260.0460860.31930.375445
27-0.135155-0.93640.176882
28-0.301674-2.09010.020967
29-0.374887-2.59730.006219
30-0.327848-2.27140.013823
31-0.200731-1.39070.085364
32-0.065826-0.45610.325203
330.0025520.01770.492984
34-0.005974-0.04140.483577
35-0.06668-0.4620.323094
36-0.125764-0.87130.193959
37-0.16197-1.12220.133689
38-0.129871-0.89980.186366
39-0.055134-0.3820.352082
400.0312810.21670.414672
410.095230.65980.256276
420.113270.78480.218226
430.0883550.61210.271667
440.0466840.32340.373886
450.0169150.11720.4536
46-0.003964-0.02750.489101
47-0.004232-0.02930.488365
48NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.814625.64390
2-0.647047-4.48292.3e-05
3-0.135112-0.93610.176958
40.3469072.40340.010077
50.2549351.76620.041857
6-0.003018-0.02090.491702
7-0.009738-0.06750.473245
8-0.098957-0.68560.248134
90.1055250.73110.234136
10-0.231267-1.60230.057829
110.1308910.90680.184511
120.0033910.02350.490676
130.042140.2920.38579
140.04560.31590.376713
15-0.11574-0.80190.213289
16-0.122078-0.84580.200936
17-0.107026-0.74150.231001
18-0.034666-0.24020.405609
190.1875581.29940.1
20-0.20542-1.42320.080574
21-0.045558-0.31560.376825
220.0903130.62570.267235
230.10470.72540.23587
24-0.092508-0.64090.262314
25-0.068887-0.47730.317671
26-0.160695-1.11330.135556
270.1104160.7650.224012
28-0.137296-0.95120.173131
29-0.024415-0.16920.433194
30-0.149858-1.03820.152178
310.0203160.14080.444326
32-0.020852-0.14450.442869
330.0195070.13510.44653
34-0.07324-0.50740.307092
350.1387420.96120.170626
36-0.079755-0.55260.291565
37-0.042102-0.29170.38589
380.0694480.48110.316299
39-0.021928-0.15190.439943
40-0.010013-0.06940.472491
410.1451941.00590.159745
420.0308270.21360.415891
430.0124940.08660.46569
44-0.104365-0.72310.236575
450.0561790.38920.349416
46-0.095881-0.66430.254845
47-0.098871-0.6850.248321
48NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229858308syd7cq2r898gkyb/1ip341229858261.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229858308syd7cq2r898gkyb/1ip341229858261.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229858308syd7cq2r898gkyb/2s3xn1229858261.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229858308syd7cq2r898gkyb/2s3xn1229858261.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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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