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Autocorr werkloosheid

*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, 10 Dec 2008 05:54:48 -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/10/t12289137306h2r49iogcwloml.htm/, Retrieved Wed, 10 Dec 2008 12:55:32 +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/10/t12289137306h2r49iogcwloml.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 «
6.4 6.8 7.5 7.5 7.6 7.6 7.4 7.3 7.1 6.9 6.8 7.5 7.6 7.8 8 8.1 8.2 8.3 8.2 8 7.9 7.6 7.6 8.2 8.3 8.4 8.4 8.4 8.6 8.9 8.8 8.3 7.5 7.2 7.5 8.8 9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.6 8.2 8.1 8 8.6 8.7 8.8 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8.1 8.2 8.1 8.1 7.9 7.9 7.9 8 8 7.9 8 7.7 7.2 7.5 7.3 7 7 7 7.2 7.3 7.1 6.8 6.6 6.2 6.2 6.8 6.9
 
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
10.8644697.970
20.6699796.17690
30.5128664.72844e-06
40.4387254.04485.7e-05
50.451364.16133.8e-05
60.4763334.39161.6e-05
70.4510584.15863.8e-05
80.4014813.70150.00019
90.3646023.36150.000582
100.3512633.23850.000857
110.3512133.2380.000859
120.3423373.15620.001106
130.2418782.230.014191
140.122531.12970.130897
150.0194070.17890.429211
16-0.020265-0.18680.426118
17-0.011518-0.10620.45784
180.0035930.03310.486827
19-0.012626-0.11640.453803
20-0.047547-0.43840.331119
21-0.073268-0.67550.250597
22-0.087758-0.80910.21036
23-0.098823-0.91110.18241
24-0.101407-0.93490.176238
25-0.159133-1.46710.073015
26-0.223613-2.06160.02115
27-0.278964-2.57190.005926
28-0.297745-2.74510.00369
29-0.283772-2.61620.00526
30-0.252219-2.32530.011218
31-0.22703-2.09310.01966
32-0.225223-2.07640.020436
33-0.250353-2.30810.01171
34-0.29086-2.68160.004401
35-0.323334-2.9810.001873
36-0.302378-2.78780.003273
37-0.289542-2.66940.00455
38-0.268312-2.47370.007681
39-0.272163-2.50920.006999
40-0.280376-2.58490.005723
41-0.290692-2.680.004419
42-0.302908-2.79270.003228
43-0.32621-3.00750.001732
44-0.344055-3.1720.001053
45-0.344336-3.17460.001045
46-0.327584-3.02020.001668
47-0.288846-2.6630.004631
48-0.220623-2.0340.022533
49-0.186493-1.71940.044592
50-0.174593-1.60970.055589
51-0.200703-1.85040.033866
52-0.230196-2.12230.018361
53-0.242109-2.23210.014118
54-0.223414-2.05980.02124
55-0.19798-1.82530.035735
56-0.166427-1.53440.064325
57-0.127978-1.17990.120666
58-0.096094-0.88590.189074
59-0.060884-0.56130.288027
60-0.016201-0.14940.440811


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8644697.970
2-0.30601-2.82130.002977
30.0916570.8450.200232
40.1780181.64120.052221
50.2101681.93770.027993
6-0.011933-0.110.456327
7-0.098337-0.90660.183585
80.0808650.74550.229001
90.1021940.94220.174386
100.0159820.14730.441604
11-0.027411-0.25270.400547
12-0.004619-0.04260.483066
13-0.340063-3.13520.001179
140.0207090.19090.42452
15-0.100506-0.92660.178374
160.0619850.57150.284595
17-0.097412-0.89810.185836
18-0.019688-0.18150.428198
19-0.013811-0.12730.449488
200.0350160.32280.373807
210.036810.33940.367582
22-0.043102-0.39740.34604
23-0.015968-0.14720.441656
240.048390.44610.328317
25-0.151952-1.40090.082438
260.0010030.00920.496323
27-0.059867-0.55190.291216
28-0.024366-0.22460.411396
29-0.044996-0.41480.33965
300.0163740.1510.440183
310.0616170.56810.285739
32-0.057641-0.53140.298256
33-0.109803-1.01230.157126
34-0.05954-0.54890.292244
350.0285980.26370.39634
360.1253541.15570.12552
37-0.103635-0.95550.171026
380.0536680.49480.31101
39-0.077964-0.71880.237119
400.0195130.17990.42883
41-0.117502-1.08330.140867
42-0.115094-1.06110.145821
43-0.138429-1.27630.102671
44-0.006195-0.05710.477292
450.018870.1740.43115
460.0357270.32940.371336
470.0867890.80020.212925
480.0325520.30010.382411
49-0.047138-0.43460.332481
50-0.023279-0.21460.415287
51-0.014399-0.13280.447352
52-0.047977-0.44230.32969
53-0.046796-0.43140.333622
54-0.004554-0.0420.483303
55-0.013775-0.1270.449621
560.03170.29230.385399
570.0158820.14640.441966
58-0.048505-0.44720.327935
590.0288290.26580.395523
60-0.043945-0.40510.343193
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t12289137306h2r49iogcwloml/1jdac1228913687.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t12289137306h2r49iogcwloml/1jdac1228913687.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t12289137306h2r49iogcwloml/27oxp1228913687.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t12289137306h2r49iogcwloml/27oxp1228913687.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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