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Eigen tijdreeks totaal werkzoekenden mannen ACF met aanpassing d = 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: Sat, 06 Dec 2008 08:18:20 -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/06/t1228576770i4svtpu28b3xyn2.htm/, Retrieved Sat, 06 Dec 2008 15:19:30 +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/06/t1228576770i4svtpu28b3xyn2.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)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
6,2 6,1 5,9 5,6 5,5 5,5 5,6 5,7 5,6 5,4 5,3 5,3 5,4 5,5 5,6 5,7 5,8 5,8 5,7 5,9 6,1 6,4 6,4 6,3 6,2 6,2 6,3 6,5 6,6 6,6 6,7 6,6 6,7 7 7,2 7,3 7,5 7,6 7,7 7,8 7,8 7,7 7,6 7,6 7,7 7,8 7,8 7,8 7,7 7,6 7,4 7,1 7,1 7,3 7,6 7,8 7,7 7,6 7,5 7,5 7,5 7,6 7,6 7,7 7,8 7,7 7,6 7,6 7,6 7,7 7,8 7,8 7,9 7,9 7,8 7,8 7,7 7,5 7,1 6,9 7,1 7,1 7,1 7 6,9 6,8 6,7 6,8 6,8 6,7 6,8 6,7 6,6 6,4 6,4 6,4 6,5 6,5 6,4 6,3 6,2 6,3
 
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'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.036719-0.36720.357128
2-0.195418-1.95420.026736
3-0.250068-2.50070.00701
4-0.237873-2.37870.009636
50.048780.48780.313379
60.0976920.97690.165483
70.1279411.27940.101857
80.0487730.48770.313405
90.0243740.24370.403965
10-0.0182-0.1820.427977
11-0.036621-0.36620.357491
12-0.127865-1.27870.101989
13-0.085296-0.8530.197859
140.103651.03650.151235
150.109991.09990.137008
16-0.012115-0.12120.451907
170.0121570.12160.451743
18-0.146055-1.46060.073637
190.0123960.1240.450799
200.1161991.1620.124003
210.0789920.78990.215721
220.0061670.06170.475473
23-0.072879-0.72880.233918
24-0.207182-2.07180.020428
25-0.04251-0.42510.335837
260.1282611.28260.101298
270.1770511.77050.039845
280.1341111.34110.091462
29-0.115953-1.15950.124501
30-0.207563-2.07560.020247
31-0.061066-0.61070.271405
32-0.02423-0.24230.404521
330.1831351.83130.035013
340.0488310.48830.313198
35-0.005818-0.05820.476859
36-0.042537-0.42540.33574
37-9e-05-9e-040.499641
38-0.012291-0.12290.451213
39-0.09768-0.97680.165513
400.0362530.36250.358861
41-0.018519-0.18520.426727
420.1706711.70670.04549
430.0794270.79430.21446
44-0.103547-1.03550.151473
45-0.201256-2.01260.023425
46-0.116238-1.16240.123924
470.1701711.70170.045959
480.1641911.64190.051875
490.0179340.17930.429018
50-0.042815-0.42820.33473
51-0.079168-0.79170.21521
52-0.060751-0.60750.272443
530.0125570.12560.450163
540.0976970.9770.165471
55-0.006355-0.06360.474727
56-0.000381-0.00380.498485
57-0.000383-0.00380.498476
58-0.055033-0.55030.29166
59-0.048814-0.48810.313258
600.0671870.67190.251607


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.036719-0.36720.357128
2-0.197032-1.97030.025783
3-0.277005-2.77010.003341
4-0.353822-3.53820.000306
5-0.184108-1.84110.034287
6-0.193025-1.93020.028205
7-0.128892-1.28890.100199
8-0.121454-1.21450.113701
9-0.014878-0.14880.441015
100.0237210.23720.406491
110.0679830.67980.24909
12-0.052721-0.52720.299608
13-0.084557-0.84560.199905
140.0332120.33210.370245
150.0351840.35180.362849
16-0.096078-0.96080.169491
17-0.013898-0.1390.444873
18-0.16063-1.60630.05568
19-0.044846-0.44850.327395
200.0450840.45080.32654
210.096780.96780.167739
220.0888150.88810.188296
230.1225481.22550.111637
24-0.107028-1.07030.143536
25-0.095445-0.95450.171078
26-0.026771-0.26770.394738
270.0694290.69430.244556
280.1060251.06030.145791
29-0.005215-0.05210.479258
30-0.121757-1.21760.113126
31-0.034947-0.34950.363737
32-0.07682-0.76820.222089
330.1318171.31820.095229
34-0.019684-0.19680.422175
35-0.009626-0.09630.461754
36-0.120626-1.20630.115281
37-0.024588-0.24590.40314
38-0.001272-0.01270.494938
39-0.021874-0.21870.413647
400.0302090.30210.381605
41-0.077735-0.77730.219394
420.0281870.28190.389313
430.0833920.83390.203155
440.0694780.69480.244402
45-0.067029-0.67030.25211
46-0.126138-1.26140.105053
47-0.010514-0.10510.458238
48-0.076678-0.76680.222509
49-0.08179-0.81790.207681
50-0.020374-0.20370.419483
510.0875930.87590.191584
520.0350970.3510.363176
530.0046640.04660.481447
540.0613690.61370.270405
550.0512480.51250.304722
560.0888150.88810.188296
570.0544690.54470.29359
58-0.043616-0.43620.331831
59-0.154754-1.54750.062446
600.0152280.15230.439635
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/06/t1228576770i4svtpu28b3xyn2/1qrhf1228576694.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/06/t1228576770i4svtpu28b3xyn2/1qrhf1228576694.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/06/t1228576770i4svtpu28b3xyn2/2bgwb1228576694.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/06/t1228576770i4svtpu28b3xyn2/2bgwb1228576694.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 = 2 ; 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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