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Methode1_3

*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: Thu, 26 Nov 2009 11:41:14 -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/Nov/26/t1259260936m9yolfmdv0n2cj5.htm/, Retrieved Thu, 26 Nov 2009 19:42:18 +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/Nov/26/t1259260936m9yolfmdv0n2cj5.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 «
562 561 555 544 537 543 594 611 613 611 594 595 591 589 584 573 567 569 621 629 628 612 595 597 593 590 580 574 573 573 620 626 620 588 566 557 561 549 532 526 511 499 555 565 542 527 510 514 517 508 493 490 469 478 528 534 518 506 502 516 528
 
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
10.0234770.16270.435737
20.1671781.15820.126248
30.1909291.32280.096086
40.1404040.97270.167778
5-0.010652-0.07380.470739
60.1184360.82050.20798
70.0516970.35820.360895
80.0854890.59230.27822
9-0.047555-0.32950.371616
10-0.056078-0.38850.349676
110.2936092.03420.02374
12-0.108756-0.75350.22742
13-0.023546-0.16310.435551
140.1092540.75690.226394
15-0.035746-0.24770.402729
16-0.117449-0.81370.209914
170.027580.19110.424635
18-0.084248-0.58370.281081
19-0.044166-0.3060.380468
20-0.057846-0.40080.345185
21-0.086256-0.59760.276459
220.0018070.01250.495031
23-0.046139-0.31970.375307
24-0.12077-0.83670.203448
25-0.095379-0.66080.255949
26-0.182084-1.26150.10661
27-0.115589-0.80080.213591
28-0.096175-0.66630.254199
29-0.007643-0.0530.478994
30-0.037265-0.25820.398687
310.062520.43310.333424
32-0.08627-0.59770.276426
330.0276970.19190.424319
34-0.056976-0.39470.347391
350.0111210.0770.469453
36-0.031824-0.22050.413215


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0234770.16270.435737
20.1667191.15510.126892
30.1891011.31010.098193
40.1184680.82080.207917
5-0.073499-0.50920.306467
60.0435030.30140.382206
70.0209710.14530.442544
80.0679640.47090.319933
9-0.081829-0.56690.286702
10-0.12647-0.87620.192639
110.3151552.18350.016961
12-0.086158-0.59690.276683
13-0.089439-0.61960.269209
140.0469640.32540.373156
15-0.059362-0.41130.341352
16-0.062666-0.43420.333058
17-0.028389-0.19670.422452
18-0.071091-0.49250.312295
19-0.023773-0.16470.434935
200.0301930.20920.417596
21-0.02957-0.20490.419272
22-0.081043-0.56150.28854
230.0748780.51880.303152
24-0.061271-0.42450.336549
25-0.195248-1.35270.091242
26-0.141193-0.97820.166437
270.0190840.13220.447683
28-0.030278-0.20980.417366
290.1411940.97820.166435
300.0594120.41160.341226
310.0803740.55680.290109
32-0.02302-0.15950.436977
33-0.007306-0.05060.479921
34-0.150481-1.04260.151187
350.0098210.0680.473017
360.0517310.35840.360807
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259260936m9yolfmdv0n2cj5/1cbew1259260872.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259260936m9yolfmdv0n2cj5/1cbew1259260872.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/26/t1259260936m9yolfmdv0n2cj5/2dm8g1259260872.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t1259260936m9yolfmdv0n2cj5/2dm8g1259260872.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; 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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