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Autocorrelatie 2 bruin brood

*Unverified author*
R Software Module: /rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Tue, 08 Dec 2009 00:23:12 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/08/t1260257050ko5f8fbuwc2l71j.htm/, Retrieved Tue, 08 Dec 2009 08:24:12 +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/2009/Dec/08/t1260257050ko5f8fbuwc2l71j.htm/},
    year = {2009},
}
@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 = {2009},
    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:
KDGP2W22
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.38 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.43 1.44 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.48 1.57 1.58 1.58 1.58 1.58 1.59 1.6 1.6 1.61 1.61 1.61 1.62 1.63 1.63 1.64 1.64 1.64 1.64 1.64 1.65 1.65 1.65 1.65 1.65 1.66 1.66 1.67 1.68 1.68 1.68 1.68 1.69 1.7 1.7 1.71 1.72 1.73 1.74 1.74 1.75 1.75 1.75 1.76 1.79 1.83 1.84 1.85 1.87 1.87 1.87 1.88 1.88 1.88 1.88 1.89 1.89 1.89 1.9 1.89
 
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
10.1311161.50070.067922
2-0.001006-0.01150.495415
30.0234840.26880.39426
4-0.022026-0.25210.400681
50.0367590.42070.337321
60.0167040.19120.424338
70.0093760.10730.457352
80.0465930.53330.297372
9-0.047347-0.54190.294398
10-0.003767-0.04310.482837
110.0207230.23720.406443
120.0310760.35570.361324
13-0.011955-0.13680.445685
14-0.04226-0.48370.314706
15-0.065133-0.74550.228659
16-0.052302-0.59860.275231
17-0.044425-0.50850.30599
18-0.019935-0.22820.409935
190.0363720.41630.338937
200.1078841.23480.10956
21-0.064896-0.74280.229475
22-0.07611-0.87110.19264
23-0.030393-0.34790.364252
240.0029380.03360.486613
25-0.027367-0.31320.377303
260.009850.11270.455206
27-0.007728-0.08840.464828
28-0.044396-0.50810.306106
29-0.051724-0.5920.277432
300.2018532.31030.011217
310.1117991.27960.101474
320.0242220.27720.391017
33-0.025173-0.28810.386855
34-0.007047-0.08070.467919
350.0453740.51930.302202
360.0571370.6540.257141
370.0052640.06030.476024
380.00430.04920.480413
390.0160620.18380.427211
40-0.071515-0.81850.207273
41-0.040661-0.46540.321213
420.0435780.49880.309389
430.1352491.5480.062018
440.1788292.04680.021339
450.0021630.02480.490144
46-0.005165-0.05910.476475
470.0281660.32240.373843
48-0.072138-0.82570.205249


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1311161.50070.067922
2-0.018516-0.21190.416249
30.026510.30340.381024
4-0.029203-0.33420.369363
50.0449780.51480.30378
60.0045960.05260.479066
70.0091340.10450.458449
80.0424380.48570.313986
9-0.058737-0.67230.251296
100.0107480.1230.451143
110.0158440.18130.428188
120.0316950.36280.358681
13-0.027492-0.31470.376759
14-0.03491-0.39960.345066
15-0.056884-0.65110.25807
16-0.038546-0.44120.329905
17-0.031556-0.36120.359274
18-0.013094-0.14990.440552
190.04160.47610.317384
200.1046621.19790.116556
21-0.08604-0.98480.163274
22-0.053566-0.61310.27044
23-0.017209-0.1970.422079
240.0143520.16430.434889
25-0.039148-0.44810.327423
260.0233220.26690.394972
27-0.009397-0.10760.457257
28-0.044338-0.50750.306337
29-0.029987-0.34320.365993
300.218542.50130.006803
310.044620.51070.305211
32-0.007269-0.08320.466911
33-0.031621-0.36190.358996
340.0199560.22840.409842
350.045030.51540.303575
360.045620.52210.301225
37-0.015192-0.17390.431116
38-0.035549-0.40690.342379
390.0139510.15970.436693
40-0.087914-1.00620.158082
41-0.007755-0.08880.464703
420.044880.51370.304172
430.1334431.52730.064546
440.1599241.83040.03473
45-0.005562-0.06370.474668
46-0.003118-0.03570.485794
470.0351790.40260.343935
48-0.057088-0.65340.257321
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/08/t1260257050ko5f8fbuwc2l71j/19e3h1260256990.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/08/t1260257050ko5f8fbuwc2l71j/19e3h1260256990.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/08/t1260257050ko5f8fbuwc2l71j/2cply1260256990.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/08/t1260257050ko5f8fbuwc2l71j/2cply1260256990.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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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