Home » date » 2009 » Dec » 04 »

WS9 ACF : d=2, D=0 en lambda=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, 04 Dec 2009 07:08:10 -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/04/t1259935762eo7f138smnsbx4k.htm/, Retrieved Fri, 04 Dec 2009 15:09:24 +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/04/t1259935762eo7f138smnsbx4k.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 «
9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.5 8.2 8.1 7.9 8.6 8.7 8.7 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8 8.2 8.1 8.1 8 7.9 7.9 8 8 7.9 8 7.7 7.2 7.5 7.3 7 7 7 7.2 7.3 7.1 6.8 6.4 6.1 6.5 7.7 7.9 7.5 6.9 6.6 6.9 7.7 8 8 7.7 7.3 7.4 8.1 8.3
 
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
1-0.033229-0.25520.399714
2-0.29232-2.24530.014253
3-0.294222-2.260.013765
4-0.248659-1.910.0305
50.0736370.56560.2869
60.4274373.28320.000864
70.1607831.2350.110864
8-0.086625-0.66540.254201
9-0.211438-1.62410.054844
10-0.212132-1.62940.054276
11-0.058233-0.44730.328151
120.4847563.72350.000221
13-0.125582-0.96460.169338
14-0.083167-0.63880.262706
150.0153260.11770.453343
16-0.069883-0.53680.296719
17-0.011587-0.0890.464691
180.1238570.95140.17265
19-0.000105-8e-040.49968
20-0.056264-0.43220.333595
21-0.003652-0.02810.488858
22-0.074723-0.5740.28409
23-0.005793-0.04450.482329
240.2932952.25280.014001
25-0.190628-1.46420.074218
26-0.060629-0.46570.321572
270.0047560.03650.485491
28-0.040929-0.31440.377171
290.0443970.3410.367151
300.1015640.78010.219218
310.0490280.37660.353915
32-0.080776-0.62040.268676
33-0.166104-1.27590.103501
340.0047860.03680.485399
350.0758140.58230.281278
360.2463871.89250.031664


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.033229-0.25520.399714
2-0.293748-2.25630.013885
3-0.346826-2.6640.00497
4-0.489509-3.760.000196
5-0.455758-3.50070.000445
6-0.16403-1.25990.106327
7-0.181669-1.39540.084059
8-0.129459-0.99440.162047
9-0.086851-0.66710.25365
10-0.0793-0.60910.272394
11-0.204344-1.56960.060929
120.3943433.0290.001819
13-0.230836-1.77310.040688
14-0.154901-1.18980.119442
15-0.071386-0.54830.292769
16-0.009682-0.07440.470485
17-0.075537-0.58020.281991
18-0.148249-1.13870.12971
190.0148560.11410.454769
200.0236110.18140.428352
210.1418411.08950.140181
22-0.079856-0.61340.270989
23-0.034559-0.26550.395793
240.167481.28640.101658
250.0672960.51690.303575
260.0668980.51390.304637
27-0.098985-0.76030.225046
280.014970.1150.454423
290.0393820.30250.381667
30-0.062848-0.48270.315533
310.0302490.23230.408536
320.0114350.08780.465155
33-0.230417-1.76990.040958
340.0077980.05990.476218
35-0.063671-0.48910.313303
36-0.041721-0.32050.374873
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259935762eo7f138smnsbx4k/1jxbg1259935688.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259935762eo7f138smnsbx4k/1jxbg1259935688.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/04/t1259935762eo7f138smnsbx4k/25dks1259935688.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259935762eo7f138smnsbx4k/25dks1259935688.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 2 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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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