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Paper (4bis) - (P)ACF d=0 en D=1

*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, 25 Dec 2009 06:21:24 -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/25/t1261747363w93u257wodsntu7.htm/, Retrieved Fri, 25 Dec 2009 14:22:45 +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/25/t1261747363w93u257wodsntu7.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:
P4bis
 
Dataseries X:
» Textbox « » Textfile « » CSV «
2.3 2.3 2.6 3.1 2.8 2.5 2.9 3.1 3.1 3.2 2.5 2.6 2.9 2.6 2.4 1.7 2 2.2 1.9 1.6 1.6 1.2 1.2 1.5 1.6 1.7 1.8 1.8 1.8 1.3 1.3 1.4 1.1 1.5 2.2 2.9 3.1 3.5 3.6 4.4 4.2 5.2 5.8 5.9 5.4 5.5 4.7 3.1 2.6 2.3 1.9 0.6 0.6 -0.4 -1.1 -1.7 -0.8 -1.2 -1 -0.1
 
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
10.9429786.53310
20.843335.84280
30.716724.96565e-06
40.573843.97570.000118
50.402852.7910.003759
60.2474411.71430.04646
70.1019550.70640.241688
8-0.03524-0.24420.404077
9-0.166267-1.15190.127527
10-0.269622-1.8680.033937
11-0.355011-2.45960.008782
12-0.42642-2.95430.002421
13-0.451156-3.12570.001504
14-0.437878-3.03370.001946
15-0.407891-2.8260.003425
16-0.376222-2.60650.006074
17-0.332135-2.30110.012886
18-0.293428-2.03290.023805
19-0.26179-1.81370.037986
20-0.238807-1.65450.052276
21-0.201935-1.3990.084114
22-0.165208-1.14460.129026
23-0.130785-0.90610.184703
24-0.097146-0.6730.252073
25-0.058616-0.40610.343236
26-0.033444-0.23170.408877
27-0.012448-0.08620.465817
280.0086210.05970.476311
290.0314830.21810.41413
300.0455350.31550.376884
310.0606570.42020.338091
320.0806540.55880.289451
330.0892440.61830.26965
340.0828070.57370.284424
350.0708130.49060.31297
360.0616150.42690.335686


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9429786.53310
2-0.414088-2.86890.003053
3-0.188963-1.30920.098353
4-0.122997-0.85220.199181
5-0.326636-2.2630.014098
60.2318971.60660.057348
7-0.119061-0.82490.20676
8-0.131816-0.91330.182838
9-0.054143-0.37510.354615
10-0.024768-0.17160.432238
11-0.050633-0.35080.363639
12-0.095593-0.66230.255478
130.3867762.67970.005033
14-0.114758-0.79510.215244
15-0.107915-0.74770.229157
16-0.113748-0.78810.217265
17-0.187645-1.30.099898
18-0.028918-0.20030.421028
190.0007720.00530.497877
20-0.016986-0.11770.453406
210.0920070.63740.263434
220.0010720.00740.497052
23-0.102988-0.71350.23949
24-0.063899-0.44270.329983
250.1114070.77190.221993
26-0.06152-0.42620.335925
270.0666680.46190.323123
28-0.023105-0.16010.436747
29-0.115687-0.80150.213394
30-0.095739-0.66330.255156
310.0190150.13170.44787
320.0352360.24410.404088
33-0.103679-0.71830.238025
340.0849760.58870.279401
35-0.105876-0.73350.233402
360.008090.0560.477768
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/25/t1261747363w93u257wodsntu7/1qrro1261747282.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/25/t1261747363w93u257wodsntu7/1qrro1261747282.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/25/t1261747363w93u257wodsntu7/2zhgy1261747282.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/25/t1261747363w93u257wodsntu7/2zhgy1261747282.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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