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tijdreeks A-Stap 21

*Unverified author*
R Software Module: /rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Thu, 19 Aug 2010 14:08:53 +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/19/t1282226980llm6ndbvoo28ga0.htm/, Retrieved Thu, 19 Aug 2010 16:09:44 +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/19/t1282226980llm6ndbvoo28ga0.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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.2967113.23670.000783
2-0.13556-1.47880.07092
3-0.11543-1.25920.105212
4-0.11397-1.24330.108107
5-0.169368-1.84760.033573
6-0.090555-0.98780.162619
7-0.149393-1.62970.052906
8-0.090321-0.98530.16324
9-0.136567-1.48980.069465
10-0.150689-1.64380.051426
110.2588232.82340.002786
120.8490669.26220
130.2690482.9350.002002
14-0.095834-1.04540.148973
15-0.09421-1.02770.153086
16-0.096131-1.04870.148229
17-0.15049-1.64170.051651
18-0.088602-0.96650.167869
19-0.121867-1.32940.093128
20-0.083711-0.91320.181497
21-0.15735-1.71650.044338
22-0.142022-1.54930.061985
230.2140272.33480.010616
240.6932527.56250
250.2187712.38650.009293
26-0.069511-0.75830.224894
27-0.077741-0.84810.199054
28-0.090919-0.99180.161652
29-0.13029-1.42130.078923
30-0.05916-0.64540.259967
31-0.071916-0.78450.21715
32-0.066878-0.72950.23355
33-0.186927-2.03910.021826
34-0.141187-1.54020.063087
350.1703611.85840.03279
360.5554066.05880
370.1823381.98910.024494
38-0.036367-0.39670.346145
39-0.059211-0.64590.259788
40-0.10167-1.10910.134814
41-0.133631-1.45770.073773
42-0.04666-0.5090.305846
43-0.046839-0.5110.305166
44-0.044627-0.48680.313638
45-0.172224-1.87870.031363
46-0.120474-1.31420.09565
470.136181.48550.070021
480.4186524.5676e-06


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2967113.23670.000783
2-0.245183-2.67460.004267
30.0086360.09420.462553
4-0.125205-1.36580.087284
5-0.135755-1.48090.070637
6-0.035216-0.38420.350773
7-0.215306-2.34870.010244
8-0.034502-0.37640.353657
9-0.254333-2.77440.003211
10-0.177121-1.93220.027858
110.2851933.11110.001167
120.7752098.45650
13-0.166414-1.81540.035993
140.1017711.11020.134577
15-0.039743-0.43350.332702
160.1347351.46980.07213
170.043440.47390.31823
18-0.00673-0.07340.470797
190.0445770.48630.313833
20-0.060302-0.65780.255963
210.0270810.29540.384093
220.0545540.59510.276447
23-0.063687-0.69470.244286
24-0.070238-0.76620.222537
25-0.087343-0.95280.171312
260.0216730.23640.406753
27-0.035747-0.390.348635
28-0.063865-0.69670.243679
29-0.00059-0.00640.497436
300.0449840.49070.312265
310.0706740.7710.221128
320.0038960.04250.483085
33-0.088161-0.96170.169068
340.0148960.16250.435597
35-0.018299-0.19960.421059
360.0163290.17810.429462
370.017580.19180.424123
380.0090020.09820.46097
390.0073740.08040.468013
40-0.068298-0.7450.228856
41-0.026443-0.28850.38675
42-0.047995-0.52360.300779
43-0.079973-0.87240.192374
440.0395730.43170.333375
450.0536070.58480.279899
460.0194230.21190.41628
47-0.023634-0.25780.398497
48-0.10465-1.14160.127957
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Aug/19/t1282226980llm6ndbvoo28ga0/1pjyh1282226931.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Aug/19/t1282226980llm6ndbvoo28ga0/1pjyh1282226931.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Aug/19/t1282226980llm6ndbvoo28ga0/2pjyh1282226931.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Aug/19/t1282226980llm6ndbvoo28ga0/2pjyh1282226931.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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