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Paper (6) - P(ACF) met d=1 en D=2

*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 05:55:06 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/25/t1261746297uz6g35gawszbm4c.htm/, Retrieved Fri, 25 Dec 2009 14:04:59 +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/2009/Dec/25/t1261746297uz6g35gawszbm4c.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:
P6
 
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
10.336591.99130.02715
20.216311.27970.104533
30.1683650.99610.163029
40.0777920.46020.324101
5-0.194891-1.1530.128364
6-0.057395-0.33960.368112
70.0390680.23110.40928
8-0.041884-0.24780.402873
9-0.074342-0.43980.331388
10-0.148062-0.87590.193515
11-0.122211-0.7230.237239
12-0.357354-2.11410.02085
13-0.266255-1.57520.062106
14-0.067117-0.39710.346863
150.0241280.14270.443655
16-0.050502-0.29880.38344
170.0731650.43290.333889
180.0759230.44920.32804
19-0.01985-0.11740.453594
20-0.154317-0.91290.183758
21-0.104706-0.61950.269816
22-0.038097-0.22540.411494
23-0.011726-0.06940.472543
24-0.056097-0.33190.370982
250.0881770.52170.302597
260.0147980.08750.465369
27-0.074426-0.44030.33121
280.0066140.03910.484504
290.0398270.23560.407551
30-0.081818-0.4840.315686
310.0213560.12630.450091
320.1300880.76960.223346
330.0679230.40180.345123
340.0409250.24210.405052
35NANANA
36NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.336591.99130.02715
20.116180.68730.248203
30.0742060.4390.331677
4-0.018594-0.110.456518
5-0.281229-1.66380.052544
60.0649850.38450.351483
70.1311890.77610.221445
8-0.033814-0.20.421301
9-0.069821-0.41310.341039
10-0.235369-1.39250.086284
11-0.023378-0.13830.445396
12-0.251153-1.48580.073137
13-0.0533-0.31530.377194
140.1682520.99540.163188
150.0813090.4810.316744
16-0.068837-0.40720.343155
17-0.082751-0.48960.313749
18-0.055778-0.330.371688
190.0405640.240.405873
20-0.164022-0.97040.169261
21-0.108122-0.63970.26328
22-0.021572-0.12760.449589
230.0414920.24550.403764
24-0.150832-0.89230.189154
25-0.017383-0.10280.459339
26-0.049772-0.29450.385075
270.0078670.04650.481571
280.0639950.37860.353636
29-0.029646-0.17540.430893
30-0.144118-0.85260.199836
310.0356660.2110.417054
32-0.018697-0.11060.456279
33-0.053325-0.31550.377137
34-0.035062-0.20740.418439
35NANANA
36NANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/25/t1261746297uz6g35gawszbm4c/1gzvt1261745704.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/25/t1261746297uz6g35gawszbm4c/1gzvt1261745704.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/25/t1261746297uz6g35gawszbm4c/2jc4f1261745704.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/25/t1261746297uz6g35gawszbm4c/2jc4f1261745704.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 2 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 2 ; 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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