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correlatie met juiste lambda

*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: Wed, 17 Dec 2008 10:55:25 -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/17/t1229536577fv7gi5ohygubjn5.htm/, Retrieved Wed, 17 Dec 2008 18:56:19 +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/17/t1229536577fv7gi5ohygubjn5.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 «
9.0 9.1 8.7 8.2 7.9 7.9 9.1 9.4 9.5 9.1 9.0 9.3 9.9 9.8 9.4 8.3 8.0 8.5 10.4 11.1 10.9 9.9 9.2 9.2 9.5 9.6 9.5 9.1 8.9 9.0 10.1 10.3 10.2 9.6 9.2 9.3 9.4 9.4 9.2 9.0 9.0 9.0 9.8 10.0 9.9 9.3 9.0 9.0 9.1 9.1 9.1 9.2 8.8 8.3 8.4 8.1 7.8 7.9 7.9 8.0 7.9 7.5 7.2 6.9 6.6 6.7 7.3 7.5
 
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
10.1759611.2930.100751
2-0.104937-0.77110.221997
3-0.473814-3.48180.000497
4-0.355385-2.61150.005823
5-0.123876-0.91030.183355
60.1085810.79790.214211
70.2123181.56020.062275
80.2172951.59680.058075
90.1097390.80640.211771
10-0.067482-0.49590.310994
11-0.03154-0.23180.408797
12-0.203844-1.49790.069986
13-0.091481-0.67220.252147
140.0920990.67680.250715
150.0068250.05020.480092
160.0758020.5570.289904
170.013070.0960.461922
180.0373380.27440.39242
19-0.039109-0.28740.387457
20-0.100433-0.7380.231847
21-0.032749-0.24070.405366
220.001180.00870.496557
230.06110.4490.327616
240.0907740.66710.25379
250.0913520.67130.252446
260.0294240.21620.414814
27-0.151304-1.11190.135564
28-0.161249-1.18490.120616
29-0.137785-1.01250.157904
300.0894680.65750.256842
310.0632490.46480.321977
320.2768742.03460.023407
330.0981010.72090.237042
340.0136320.10020.460287
35-0.198291-1.45710.075435
36-0.274738-2.01890.024237
37-0.05795-0.42580.335956
380.0361270.26550.395827
390.1827321.34280.092477
400.140931.03560.152497
410.0683360.50220.308796
42-0.112737-0.82840.205532
43-0.005578-0.0410.483727
44-0.106263-0.78090.219145
45-0.064571-0.47450.31853
460.0141820.10420.458692
470.0331320.24350.404283
480.0918450.67490.251304


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1759611.2930.100751
2-0.140241-1.03060.153671
3-0.450623-3.31140.00083
4-0.285572-2.09850.020276
5-0.207145-1.52220.066897
6-0.218244-1.60380.057301
7-0.191991-1.41080.082013
8-0.096606-0.70990.240408
9-0.047559-0.34950.364041
10-0.093843-0.68960.246698
110.1371651.0080.158987
12-0.075664-0.5560.290248
13-0.015356-0.11280.455286
140.2376571.74640.043213
15-0.087508-0.6430.261457
160.0026760.01970.492191
170.061520.45210.326511
180.0255840.1880.425789
19-0.074608-0.54830.292888
20-0.140893-1.03530.15256
21-0.016462-0.1210.452081
22-0.164826-1.21120.115543
23-0.080495-0.59150.278322
240.0243670.17910.42928
25-0.018844-0.13850.44519
260.1985451.4590.075179
27-0.035284-0.25930.3982
28-0.028136-0.20680.418488
29-0.026526-0.19490.423091
300.0239070.17570.430603
31-0.195651-1.43770.07814
320.040830.30.382651
330.0684010.50260.30863
340.0168310.12370.451012
35-0.031481-0.23130.408965
36-0.075735-0.55650.290073
370.0793320.5830.281171
38-0.004694-0.03450.486304
39-0.032603-0.23960.405782
40-0.042624-0.31320.377659
41-0.014574-0.10710.457553
42-0.09314-0.68440.248314
430.040670.29890.383096
44-0.095025-0.69830.243998
45-0.057555-0.42290.337009
460.0162790.11960.452612
47-0.019812-0.14560.442394
48-0.081235-0.5970.276517
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229536577fv7gi5ohygubjn5/1bcr71229536523.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229536577fv7gi5ohygubjn5/1bcr71229536523.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229536577fv7gi5ohygubjn5/2gyhz1229536523.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229536577fv7gi5ohygubjn5/2gyhz1229536523.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 2 ; 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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