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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: Tue, 23 Dec 2008 10:04:06 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/23/t1230051897pich2s5iul6gmsx.htm/, Retrieved Tue, 23 Dec 2008 18:04:59 +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/2008/Dec/23/t1230051897pich2s5iul6gmsx.htm/},
    year = {2008},
}
@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 = {2008},
    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 «
513 503 471 471 476 475 470 461 455 456 517 525 523 519 509 512 519 517 510 509 501 507 569 580 578 565 547 555 562 561 555 544 537 543 594 611 613 611 594 595 591 589 584 573 567 569 621 629 628 612 595 597 593 590 580 574 573 573 620 626 620 588 566 557 561 549 532 526 511 499 555 565 542 527
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9103917.83150
20.7802116.71160
30.6733635.79250
40.6110325.25631e-06
50.5790254.9812e-06
60.5409944.65387e-06
70.4757944.09295.4e-05
80.4000453.44130.000478
90.3765033.23880.000899
100.4009823.44940.000466
110.456193.92439.7e-05
120.4791024.12144.9e-05
130.3838953.30240.000739
140.2617182.25140.013665
150.1592681.37010.087403
160.1021370.87860.191226
170.0745220.64110.261731
180.0416010.35790.36073
19-0.012624-0.10860.456907
20-0.07276-0.62590.266651
21-0.090084-0.77490.220425
22-0.06888-0.59250.277652
23-0.019767-0.170.43272
240.0030850.02650.489451
25-0.066756-0.57430.283769
26-0.160907-1.38420.085233
27-0.236005-2.03020.022966
28-0.270945-2.33080.011247
29-0.28487-2.45050.008314
30-0.303436-2.61030.005473
31-0.335162-2.88320.002576
32-0.370529-3.18740.001052
33-0.37173-3.19770.001019
34-0.343276-2.9530.002108
35-0.290826-2.50180.007284
36-0.251574-2.16410.016841
37-0.281275-2.41960.008997
38-0.328157-2.82290.003055
39-0.359698-3.09420.001392
40-0.358562-3.08450.001433
41-0.346396-2.97980.00195
42-0.338702-2.91360.002361
43-0.345226-2.96970.002008
44-0.357024-3.07120.001491
45-0.339689-2.92210.002304
46-0.300623-2.58610.005837
47-0.241366-2.07630.020669
48-0.192481-1.65580.051


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9103917.83150
2-0.283906-2.44220.008492
30.1262711.08620.140452
40.1390171.19590.117783
50.061810.53170.298261
6-0.073836-0.63520.26364
7-0.107784-0.92720.178421
8-0.01049-0.09020.464172
90.2835082.43880.008567
100.1012640.87110.193258
110.1545371.32940.093904
12-0.132742-1.14190.12859
13-0.598544-5.14891e-06
140.1033250.88880.188487
15-0.080224-0.69010.24614
160.0293490.25250.400689
170.1220061.04950.148673
18-0.072599-0.62450.267102
190.1198581.03110.152935
200.0011850.01020.495946
21-0.164311-1.41350.080858
220.0097810.08410.466587
23-0.081939-0.70490.241553
240.0106550.09170.463611
25-0.110937-0.95430.171516
26-0.052188-0.44890.327394
270.0832680.71630.238032
28-0.059327-0.51040.305662
29-0.037454-0.32220.374107
30-0.011761-0.10120.459845
31-0.001207-0.01040.49587
320.0224280.19290.42377
33-0.090044-0.77460.220525
34-0.056667-0.48750.313684
350.0050020.0430.482896
360.0850560.73170.233339
37-0.03021-0.25990.39784
380.0243670.20960.417274
390.0092580.07960.468368
40-0.023989-0.20640.418538
41-0.042346-0.36430.358345
42-0.046128-0.39680.346326
43-0.075965-0.65350.257737
440.0460530.39620.346561
450.0163710.14080.444193
460.0099580.08570.465983
470.0387980.33380.369754
48-0.028101-0.24170.404826
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/23/t1230051897pich2s5iul6gmsx/1roj91230051843.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/23/t1230051897pich2s5iul6gmsx/1roj91230051843.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/23/t1230051897pich2s5iul6gmsx/2hjtv1230051843.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/23/t1230051897pich2s5iul6gmsx/2hjtv1230051843.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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