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PAPER

*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: Sun, 13 Dec 2009 02:34:23 -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/Dec/13/t1260696907yx1yjy1jw1sdg9h.htm/, Retrieved Sun, 13 Dec 2009 10:35:09 +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/Dec/13/t1260696907yx1yjy1jw1sdg9h.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 «
452 462 455 461 461 463 462 456 455 456 472 472 471 465 459 465 468 467 463 460 462 461 476 476 471 453 443 442 444 438 427 424 416 406 431 434 418 412 404 409 412 406 398 397 385 390 413 413 401 397 397 409 419 424 428 430 424 433 456 459
 
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
10.9371337.2590
20.8517976.5980
30.8060866.24390
40.7825816.06180
50.7668665.94010
60.7293025.64920
70.6532335.05992e-06
80.558134.32332.9e-05
90.4806813.72330.000218
100.4357733.37550.000649
110.4200313.25350.000937
120.3806092.94820.002275
130.2682372.07780.021009
140.1575741.22060.113513
150.0864150.66940.252915
160.0379020.29360.385043
170.0018540.01440.494295
18-0.042097-0.32610.372748
19-0.109897-0.85130.199005
20-0.194321-1.50520.068759
21-0.254627-1.97230.026593
22-0.282409-2.18750.016305
23-0.292449-2.26530.013559
24-0.31993-2.47820.008018
25-0.38759-3.00230.001951
26-0.441258-3.4180.000569
27-0.455308-3.52680.000407
28-0.45272-3.50680.000433
29-0.436247-3.37920.000641
30-0.419463-3.24910.000949
31-0.416407-3.22550.001019
32-0.423909-3.28360.000856
33-0.404935-3.13660.001324
34-0.366613-2.83980.003077
35-0.333783-2.58550.006086
36-0.315501-2.44390.008744


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9371337.2590
2-0.216946-1.68050.049034
30.3271782.53430.006947
40.020130.15590.438308
50.1281840.99290.16237
6-0.189882-1.47080.073283
7-0.229743-1.77960.040104
8-0.221172-1.71320.045921
9-0.034165-0.26460.396096
100.0528070.4090.341982
110.2324351.80040.03841
12-0.1598-1.23780.110305
13-0.46093-3.57030.000355
140.1124050.87070.193699
15-0.096545-0.74780.228742
160.0131540.10190.459593
170.0100430.07780.469124
180.0928110.71890.237494
190.0339390.26290.396768
20-0.132026-1.02270.155284
210.0131880.10220.459488
22-0.127669-0.98890.163338
23-0.033374-0.25850.398448
24-0.02982-0.2310.409055
25-0.005551-0.0430.482924
260.0862630.66820.253287
270.1140550.88350.190255
28-0.030717-0.23790.406372
290.0948150.73440.232771
30-0.001439-0.01110.495573
310.0862640.66820.253284
32-0.035561-0.27550.391956
330.067210.52060.302277
34-0.124118-0.96140.170102
35-0.14306-1.10810.136113
36-0.015931-0.12340.4511
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/13/t1260696907yx1yjy1jw1sdg9h/1rgn01260696862.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/13/t1260696907yx1yjy1jw1sdg9h/1rgn01260696862.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/13/t1260696907yx1yjy1jw1sdg9h/2inmw1260696862.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/13/t1260696907yx1yjy1jw1sdg9h/2inmw1260696862.ps (open in new window)


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