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autocorrelatie vervoer

R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Mon, 17 Dec 2007 04:17:00 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2007/Dec/17/t1197889239bbb51jc0s6hlcha.htm/, Retrieved Mon, 17 Dec 2007 12:00:41 +0100
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
101.17 101.93 102.05 102.08 102.14 102.15 95.42 95.43 95.43 95.43 95.43 95.57 95.71 94.58 94.6 94.61 94.62 94.66 94.66 94.69 94.79 94.79 94.79 94.79 94.8 95.46 95.49 95.74 95.74 95.74 95.75 95.83 95.83 95.84 95.81 95.81 95.8 97.06 97.15 97.14 97.48 97.48 97.48 97.5 97.63 97.86 97.87 97.87 97.84 98.72 100.49 100.54 100.54 100.54 100.55 100.59 100.60 100.62 100.68 100.68
 
Text written by user:
 
Output produced by software:


Summary of compuational 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
016.85570
1-0.038152-0.26160.602597
2-0.038575-0.26450.603708
3-0.032316-0.22160.587188
4-0.05004-0.34310.633458
5-0.277065-1.89950.968175
6-0.031389-0.21520.584726
70.1918471.31520.097405
8-0.011809-0.0810.532091
90.0077950.05340.478804
100.00540.0370.485312
11-0.028481-0.19530.576982
12-0.065089-0.44620.671259
130.0161280.11060.456216
14-0.042111-0.28870.612958
15-0.001062-0.00730.50289
16-0.015417-0.10570.541863
17-0.011449-0.07850.531114
18-0.018786-0.12880.550963
190.0685090.46970.320379
200.0015980.0110.495652
21-0.045818-0.31410.622588
220.0244890.16790.433695
23-0.006244-0.04280.516982
24-0.047463-0.32540.626836
250.0339010.23240.408614
260.0103270.07080.47193
27-0.014142-0.09690.538411
28-0.00809-0.05550.521998
29-0.014169-0.09710.538485
30-0.013066-0.08960.535497
31-0.070787-0.48530.685137
320.1762491.20830.116487
33-0.005468-0.03750.514872
34-0.05837-0.40020.654576
35-0.009848-0.06750.52677
366.1e-054e-040.499835
37-0.069777-0.47840.682696
38-0.02499-0.17130.567648
39-0.023317-0.15990.56316
40-0.004311-0.02960.511726
41-0.011075-0.07590.5301
420.0097890.06710.473389
430.0143520.09840.461019
440.0158970.1090.456839
450.0056640.03880.484594
460.0066680.04570.481865
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
0-0.038152-0.26160.602597
1-0.040089-0.27480.607676
2-0.035485-0.24330.595574
3-0.054558-0.3740.644969
4-0.286253-1.96250.972177
5-0.071865-0.49270.687735
60.1698321.16430.125087
7-0.021327-0.14620.557809
8-0.022751-0.1560.561638
9-0.073399-0.50320.691412
10-0.043662-0.29930.616995
110.0306550.21020.417226
120.0204710.14030.444494
13-0.096681-0.66280.744657
14-0.032322-0.22160.587204
15-0.044008-0.30170.617896
16-0.022544-0.15460.561083
17-0.013889-0.09520.537727
180.0347960.23850.406247
19-0.022846-0.15660.561895
20-0.054275-0.37210.64425
210.0055950.03840.484783
22-0.002309-0.01580.506281
23-0.022106-0.15150.559905
240.0296990.20360.41977
25-0.048048-0.32940.628341
26-0.017725-0.12150.5481
27-0.001564-0.01070.504256
28-0.044356-0.30410.618799
29-0.005679-0.03890.515445
30-0.084826-0.58150.718172
310.1554071.06540.146066
320.0155070.10630.457893
33-0.092355-0.63320.735149
34-0.030732-0.21070.582979
35-0.015343-0.10520.541662
360.0158890.10890.456861
37-0.00547-0.03750.514878
38-0.163217-1.1190.865578
39-0.045092-0.30910.620708
40-0.004039-0.02770.510987
41-0.00797-0.05460.521672
42-0.004319-0.02960.511749
43-0.045743-0.31360.622393
44-0.040249-0.27590.608095
450.0459420.3150.377092
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Dec/17/t1197889239bbb51jc0s6hlcha/1xrp11197890217.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Dec/17/t1197889239bbb51jc0s6hlcha/1xrp11197890217.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Dec/17/t1197889239bbb51jc0s6hlcha/2zycn1197890217.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2007/Dec/17/t1197889239bbb51jc0s6hlcha/2zycn1197890217.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; 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 1:par1) {
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(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-1,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(mytstat,lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
 





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