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tijdreeks A-Stap 20

*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, 17 Aug 2010 18:00:06 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Aug/17/t1282067974l9ithmxlql0v60b.htm/, Retrieved Tue, 17 Aug 2010 19:59:35 +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/2010/Aug/17/t1282067974l9ithmxlql0v60b.htm/},
    year = {2010},
}
@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 = {2010},
    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:
Gilian Keirsebelik
 
Dataseries X:
» Textbox « » Textfile « » CSV «
668 667 666 664 684 683 668 658 659 659 660 662 659 655 655 655 674 674 665 644 638 648 641 637 651 649 652 650 661 666 652 624 613 623 615 613 621 612 611 609 631 632 624 596 584 587 581 574 593 582 571 572 594 588 571 546 535 537 527 515 545 538 520 523 541 529 504 473 455 458 450 442 469 455 439 443 461 451 425 393 366 359 351 343 366 355 344 351 367 364 353 313 278 274 261 255 274 262 265 274 291 289 277 238 203 198 190 187 201 181 181 196 207 202 186 154 120 107 99 100
 
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'RServer@AstonUniversity' @ vre.aston.ac.uk


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.97218610.64980
20.94160410.31480
30.9120599.99110
40.8839919.68360
50.85849.40330
60.8365769.16420
70.8171228.95110
80.7990658.75330
90.7797938.54220
100.7592338.3170
110.7389478.09480
120.7182057.86750
130.6898487.55690
140.6595297.22480
150.6299896.90120
160.600916.58260
170.5743916.29210
180.5522286.04940
190.5317475.8250
200.5127965.61740
210.4923915.39390
220.4709785.15930
230.4499454.92891e-06
240.4283034.69184e-06
250.3987234.36781.3e-05
260.3677434.02844.9e-05
270.3377473.69980.000163
280.3081333.37540.000497
290.2814993.08370.001269
300.2589642.83680.002675
310.238112.60840.005127
320.2189672.39870.008998
330.1986752.17640.015743
340.1778371.94810.026868
350.1589291.7410.042125
360.1395741.5290.064453
370.1131811.23980.108728
380.0862870.94520.173222
390.0599420.65660.256337
400.0342550.37520.354072
410.0103030.11290.455165
42-0.010072-0.11030.456163
43-0.027558-0.30190.381631
44-0.042705-0.46780.320384
45-0.059219-0.64870.258882
46-0.075614-0.82830.204569
47-0.089713-0.98280.163851
48-0.103358-1.13220.129896


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.97218610.64980
2-0.064554-0.70710.240422
30.0056710.06210.475282
40.0095840.1050.45828
50.0282650.30960.378691
60.0517480.56690.28593
70.0271150.2970.383478
80.0153240.16790.433483
9-0.028656-0.31390.377065
10-0.024515-0.26850.39437
110.0029330.03210.487213
12-0.015357-0.16820.433344
13-0.148802-1.630.052857
14-0.042534-0.46590.321051
15-0.009001-0.09860.46081
16-0.020029-0.21940.413352
170.0167980.1840.427155
180.0431840.47310.318518
19-0.000693-0.00760.496977
200.0104590.11460.454489
21-0.029304-0.3210.374382
22-0.011676-0.12790.44922
230.0044960.04930.480399
24-0.018305-0.20050.420705
25-0.142142-1.55710.061041
26-0.033129-0.36290.358657
27-0.01282-0.14040.444276
28-0.025778-0.28240.389067
290.0138170.15140.439974
300.0199980.21910.413486
31-0.00891-0.09760.461207
320.0071750.07860.46874
33-0.020199-0.22130.412631
340.0001240.00140.499461
350.0312440.34230.366377
36-0.017421-0.19080.424487
37-0.112797-1.23560.109505
38-0.015655-0.17150.432064
39-0.021596-0.23660.406697
40-0.016106-0.17640.430127
41-0.016387-0.17950.428922
420.0007220.00790.49685
430.0090150.09880.460748
440.0112220.12290.451186
45-0.023342-0.25570.39931
460.0134850.14770.441408
470.0307510.33690.368403
480.0014340.01570.493748
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Aug/17/t1282067974l9ithmxlql0v60b/10gvr1282068001.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Aug/17/t1282067974l9ithmxlql0v60b/10gvr1282068001.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Aug/17/t1282067974l9ithmxlql0v60b/20gvr1282068001.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Aug/17/t1282067974l9ithmxlql0v60b/20gvr1282068001.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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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