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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: Mon, 07 Dec 2009 14:44:54 -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/07/t1260222417bhxk144q120uc5m.htm/, Retrieved Mon, 07 Dec 2009 22:46:59 +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/07/t1260222417bhxk144q120uc5m.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 «
95.1 97.0 112.7 102.9 97.4 111.4 87.4 96.8 114.1 110.3 103.9 101.6 94.6 95.9 104.7 102.8 98.1 113.9 80.9 95.7 113.2 105.9 108.8 102.3 99.0 100.7 115.5 100.7 109.9 114.6 85.4 100.5 114.8 116.5 112.9 102.0 106.0 105.3 118.8 106.1 109.3 117.2 92.5 104.2 112.5 122.4 113.3 100.0 110.7 112.8 109.8 117.3 109.1 115.9 96.0 99.8 116.8 115.7 99.4 94.3
 
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
10.0411080.28480.38851
20.2196311.52160.067329
30.2938782.0360.023642
40.0421830.29230.385677
50.1446121.00190.160708
60.1522071.05450.148461
7-0.044488-0.30820.379624
80.0552120.38250.351881
90.1007990.69840.244161
10-0.123143-0.85320.198904
110.0474520.32880.371884
12-0.039094-0.27090.393833
13-0.057409-0.39770.346291
14-0.081314-0.56340.287907
15-0.005151-0.03570.48584
16-0.176523-1.2230.113653
17-0.040313-0.27930.390609
18-0.034305-0.23770.406574
19-0.174644-1.210.116107
20-0.068567-0.4750.318453
21-0.084081-0.58250.281469
22-0.260341-1.80370.038778
230.1064410.73740.23222
24-0.248063-1.71860.046063
25-0.135165-0.93640.176865
26-0.011126-0.07710.46944
27-0.140499-0.97340.167616
28-0.09311-0.64510.260973
29-0.07098-0.49180.312563
30-0.131806-0.91320.182856
31-0.130914-0.9070.184469
32-0.025343-0.17560.430681
33-0.17395-1.20520.117025
34-0.013034-0.09030.464212
35-0.057134-0.39580.34699
360.0356250.24680.403051


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0411080.28480.38851
20.218311.51250.068483
30.2922452.02470.024239
4-0.007371-0.05110.47974
50.0232040.16080.436477
60.0736380.51020.306132
7-0.095722-0.66320.255193
8-0.047185-0.32690.37258
90.0793590.54980.292497
10-0.108123-0.74910.228727
11-0.012015-0.08320.467003
12-0.03491-0.24190.404959
130.0084920.05880.476665
14-0.110892-0.76830.223041
150.0350690.2430.404534
16-0.10953-0.75880.225827
17-0.020886-0.14470.442775
180.0294310.20390.419646
19-0.068815-0.47680.317846
20-0.074285-0.51470.304575
21-0.016331-0.11310.455195
22-0.18575-1.28690.102148
230.1870961.29620.100546
24-0.193888-1.34330.092747
25-0.019917-0.1380.445413
26-0.043053-0.29830.383389
270.034780.2410.405305
28-0.070912-0.49130.31273
29-0.073819-0.51140.305696
30-0.060764-0.4210.337822
31-0.085881-0.5950.277319
32-0.068911-0.47740.317613
33-0.032155-0.22280.412329
34-0.026405-0.18290.427809
35-0.001314-0.00910.496387
360.0522880.36230.359373
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/07/t1260222417bhxk144q120uc5m/1pa7v1260222293.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/07/t1260222417bhxk144q120uc5m/1pa7v1260222293.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/07/t1260222417bhxk144q120uc5m/2chbh1260222293.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/07/t1260222417bhxk144q120uc5m/2chbh1260222293.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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