Home » date » 2009 » May » 13 »

Autocorrelatie - Prijs kleurentelevisie - Tjitse Voortman

*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, 13 May 2009 11:35:01 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/May/13/t1242236414yqy1a797j9pesrh.htm/, Retrieved Wed, 13 May 2009 19:40:14 +0200
 
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/May/13/t1242236414yqy1a797j9pesrh.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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
666,27 664,45 660,76 660,40 660,69 660,69 662,23 661,41 659,02 655,43 652,59 652,59 648,20 645,84 644,67 642,71 640,14 640,14 639,64 630,28 614,57 614,70 615,08 615,08 614,43 604,55 598,98 594,05 593,05 593,05 593,34 584,72 580,70 577,08 569,92 569,92 568,86 559,38 548,22 545,61 545,33 530,30 527,76 521,41 1601,93 1577,49 1551,43 1551,43 1516,88 1485,95 1438,22 1385,06 1329,49 1329,49 1276,16 1242,34 1181,59 1160,21 1135,18 1135,18 1084,96 1077,35 1061,13 1029,98 1013,08 1013,08 996,04 975,02 951,89 944,40 932,47 932,47 920,44 900,18 886,90
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9192447.96090
20.8403697.27780
30.7627626.60570
40.6849755.93210
50.6094545.2781e-06
60.5364264.64567e-06
70.4691574.0635.9e-05
80.4087833.54020.000345
90.3542923.06830.001498
100.2979262.58010.005916
110.2483192.15050.017369
120.2022941.75190.041938
130.1634771.41570.080494
140.1273981.10330.136713
150.093370.80860.210649
160.0578080.50060.309049
170.0283280.24530.403435
18-0.000737-0.00640.497464
19-0.028108-0.24340.404172
20-0.05118-0.44320.329437
21-0.073082-0.63290.26436
22-0.096028-0.83160.204129
23-0.117456-1.01720.156164
24-0.136971-1.18620.119643
25-0.151871-1.31520.096218
26-0.165482-1.43310.07799
27-0.178147-1.54280.063544
28-0.191523-1.65860.050682
29-0.203219-1.75990.041249
30-0.212402-1.83950.034903
31-0.22006-1.90580.030256
32-0.222403-1.92610.028943
33-0.224657-1.94560.027726
34-0.227291-1.96840.026359
35-0.230043-1.99220.024993
36-0.232663-2.01490.023749
37-0.235395-2.03860.022508
38-0.238602-2.06640.021124
39-0.2426-2.1010.019502
40-0.246879-2.1380.017886
41-0.251481-2.17790.016279
42-0.25669-2.2230.014614
43-0.261703-2.26640.013155
44-0.266877-2.31120.011785
45-0.246617-2.13580.017981
46-0.22706-1.96640.026477
47-0.208272-1.80370.037648
48-0.189699-1.64280.052301


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9192447.96090
2-0.02994-0.25930.398062
3-0.034544-0.29920.382823
4-0.045023-0.38990.348853
5-0.031444-0.27230.393066
6-0.030499-0.26410.396201
7-0.009711-0.08410.466601
8-0.000513-0.00440.498232
9-0.004218-0.03650.485478
10-0.052671-0.45610.324802
114e-053e-040.499863
12-0.016705-0.14470.442678
130.0094180.08160.467605
14-0.016251-0.14070.444227
15-0.018958-0.16420.435017
16-0.043796-0.37930.352776
170.0044240.03830.484771
18-0.028187-0.24410.403908
19-0.017048-0.14760.441513
20-0.003602-0.03120.487598
21-0.019511-0.1690.433137
22-0.038172-0.33060.370942
23-0.02-0.17320.431477
24-0.017145-0.14850.441181
250.003940.03410.486437
26-0.020378-0.17650.430195
27-0.018268-0.15820.43736
28-0.033472-0.28990.386355
29-0.01712-0.14830.441267
30-0.010505-0.0910.463878
31-0.01239-0.10730.457418
320.0101110.08760.465228
33-0.0191-0.16540.434534
34-0.027197-0.23550.407217
35-0.023431-0.20290.419876
36-0.019636-0.17010.432713
37-0.01912-0.16560.434464
38-0.024937-0.2160.414804
39-0.026882-0.23280.408272
40-0.026925-0.23320.408131
41-0.028348-0.24550.40337
42-0.028471-0.24660.402959
43-0.023916-0.20710.41824
44-0.02735-0.23690.406707
450.1386111.20040.11688
46-0.01366-0.11830.453075
47-0.015616-0.13520.446392
48-0.012485-0.10810.457094
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/13/t1242236414yqy1a797j9pesrh/1a0pg1242236096.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/13/t1242236414yqy1a797j9pesrh/1a0pg1242236096.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/13/t1242236414yqy1a797j9pesrh/2jfbs1242236096.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/13/t1242236414yqy1a797j9pesrh/2jfbs1242236096.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; 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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