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Uitvoer EU - Partial Autocorrelation d=1

*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, 04 Dec 2008 10:48:53 -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/04/t1228413036y8xubb3u1a8wft3.htm/, Retrieved Thu, 04 Dec 2008 17:50:36 +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/04/t1228413036y8xubb3u1a8wft3.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 «
11178.4 9516.4 12102.8 12989.0 11610.2 10205.5 11356.2 11307.1 12648.6 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584.0 16170.2 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 14716.8 14180.0 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 17157.3 16159.1 13405.7 17224.7 17338.4 17370.6 18817.8 16593.2 17979.5 17015.2
 
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
1-0.336945-2.85910.002777
2-0.300881-2.55310.006399
30.106870.90680.183763
40.0342160.29030.386197
5-0.058641-0.49760.310146
60.1659241.40790.081731
7-0.146385-1.24210.109112
80.111270.94420.174124
90.0373460.31690.376122
10-0.278482-2.3630.010416
11-0.142264-1.20710.115663
120.6356525.39370
13-0.209025-1.77360.040176
14-0.19088-1.61970.054837
150.0355020.30120.38205
16-0.019301-0.16380.435185
170.0475190.40320.343993
180.0704950.59820.275803
19-0.093282-0.79150.215619
200.11740.99620.161252
21-0.022053-0.18710.426045
22-0.235399-1.99740.024779
230.0246270.2090.417534
240.3281672.78460.003422
25-0.105629-0.89630.186541
26-0.069654-0.5910.278174
27-0.062067-0.52670.300026
280.028990.2460.403195
290.0402870.34180.366732
30-0.001797-0.01520.493938
31-0.00838-0.07110.471757
320.0828910.70340.242052
33-0.056727-0.48130.315867
34-0.160078-1.35830.089303
350.0056940.04830.480801
360.2641712.24160.014036
37-0.075462-0.64030.261999
38-0.068057-0.57750.282707
39-0.091837-0.77930.219189
400.1349681.14520.127951
41-0.028429-0.24120.405032
42-0.030168-0.2560.399348
430.0168930.14330.443212
440.0820580.69630.244245
45-0.062441-0.52980.29893
46-0.080394-0.68220.24866
47-0.045811-0.38870.349317
480.2055561.74420.042696
490.0034290.02910.488434
50-0.125654-1.06620.144946
51-0.055985-0.4750.318095
520.1386881.17680.121574
53-0.056931-0.48310.315253
54-0.001726-0.01460.494179
550.0039230.03330.486768
560.0122990.10440.458587
570.0106120.090.464252
58-0.066165-0.56140.288125
59-0.019135-0.16240.435735
600.1079830.91630.181293


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.336945-2.85910.002777
2-0.467487-3.96688.5e-05
3-0.287875-2.44270.008516
4-0.281811-2.39120.009703
5-0.317525-2.69430.004386
6-0.061913-0.52530.300477
7-0.213394-1.81070.037179
80.1063630.90250.184896
90.2117741.7970.038268
10-0.081715-0.69340.245153
11-0.576836-4.89463e-06
120.0253980.21550.414989
13-0.012095-0.10260.459272
140.1226371.04060.15077
150.0731210.62050.268459
16-0.027601-0.23420.407745
170.0117770.09990.460338
18-0.163637-1.38850.084632
19-0.055722-0.47280.318886
20-0.071995-0.61090.271596
21-0.046804-0.39710.346219
22-0.088196-0.74840.228339
230.0609180.51690.303403
24-0.045096-0.38260.351553
25-0.066658-0.56560.286708
260.0204650.17370.431312
27-0.056198-0.47690.317455
280.1529491.29780.099246
290.0365560.31020.378658
300.0551940.46830.320479
31-0.000339-0.00290.498856
32-0.055906-0.47440.318334
33-0.013435-0.1140.454779
34-0.040028-0.33960.367556
35-0.159848-1.35640.089612
360.017550.14890.441019
370.0138940.11790.453241
38-0.017895-0.15180.439868
39-0.135786-1.15220.126528
400.0209390.17770.429741
410.0215790.18310.427614
420.0553980.47010.319862
43-0.021936-0.18610.426433
44-0.012506-0.10610.457892
45-0.043379-0.36810.356945
460.0127280.1080.457149
470.0684230.58060.281664
48-0.01671-0.14180.443822
490.1103050.9360.176209
500.0165280.14020.44443
510.0867420.7360.232052
52-0.032398-0.27490.392088
53-0.07095-0.6020.274522
540.0012560.01070.495765
550.0190220.16140.436113
56-0.036902-0.31310.377545
57-0.055914-0.47440.318309
58-0.056399-0.47860.316849
590.054820.46520.321608
600.0416160.35310.362515
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/04/t1228413036y8xubb3u1a8wft3/1crml1228412928.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/04/t1228413036y8xubb3u1a8wft3/1crml1228412928.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/04/t1228413036y8xubb3u1a8wft3/2i19v1228412928.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/04/t1228413036y8xubb3u1a8wft3/2i19v1228412928.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; 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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