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*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: Fri, 27 Nov 2009 12:48:20 -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/27/t12593514109mqbgs92fw7g0hx.htm/, Retrieved Fri, 27 Nov 2009 20:50:13 +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/27/t12593514109mqbgs92fw7g0hx.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 «
519 517 510 509 501 507 569 580 578 565 547 555 562 561 555 544 537 543 594 611 613 611 594 595 591 589 584 573 567 569 621 629 628 612 595 597 593 590 580 574 573 573 620 626 620 588 566 557 561 549 532 526 511 499 555 565 542 527 510 514 517 508 493 490 469 478 528 534 518 506 502 516
 
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
10.9589197.42780
20.9173997.10610
30.8721426.75560
40.8278646.41260
50.78086.04810
60.7326895.67540
70.6846055.30291e-06
80.6335884.90784e-06
90.5731124.43932e-05
100.5043813.90690.00012
110.4381643.3940.000613
120.3654762.8310.003153
130.3072192.37970.010261
140.2530731.96030.027305
150.19371.50040.069378
160.1379371.06850.144798
170.0822870.63740.263147
180.0295920.22920.40974
19-0.021507-0.16660.434125
20-0.069282-0.53670.296745
21-0.117834-0.91270.182517
22-0.155338-1.20320.116804
23-0.195459-1.5140.067636
24-0.23805-1.84390.035067
25-0.270829-2.09780.02007
26-0.299591-2.32060.011862
27-0.318398-2.46630.008263
28-0.342958-2.65650.00505
29-0.368696-2.85590.002943
30-0.397097-3.07590.001579
31-0.420883-3.26010.000919
32-0.443589-3.4360.000539
33-0.459894-3.56230.000364
34-0.462825-3.5850.000339
35-0.461721-3.57650.000348
36-0.452951-3.50850.00043


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9589197.42780
2-0.026428-0.20470.419247
3-0.068095-0.52750.299909
4-0.011578-0.08970.464418
5-0.057082-0.44220.329984
6-0.040457-0.31340.377541
7-0.024347-0.18860.425524
8-0.065178-0.50490.30775
9-0.150065-1.16240.124839
10-0.142973-1.10750.136256
11-0.011005-0.08520.466175
12-0.128466-0.99510.161843
130.1313111.01710.156588
140.0261240.20240.420163
15-0.129987-1.00690.159019
160.0109840.08510.466239
17-0.029766-0.23060.409219
18-0.005852-0.04530.481998
19-0.009067-0.07020.47212
20-0.006179-0.04790.480993
21-0.096041-0.74390.229912
220.0407770.31590.376603
23-0.058897-0.45620.324942
24-0.127483-0.98750.163686
250.0984510.76260.224345
260.0250580.19410.423378
270.0227580.17630.430333
28-0.111665-0.8650.195255
29-0.082162-0.63640.263459
30-0.112136-0.86860.194264
31-0.002479-0.01920.492371
320.0062610.04850.480741
33-0.028267-0.2190.413714
340.1418931.09910.138057
350.0004330.00340.498668
36-0.013264-0.10270.459255
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593514109mqbgs92fw7g0hx/10npr1259351299.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593514109mqbgs92fw7g0hx/10npr1259351299.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/27/t12593514109mqbgs92fw7g0hx/26a0g1259351299.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593514109mqbgs92fw7g0hx/26a0g1259351299.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; 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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