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Model 1 (d = 0, D = 0)

*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: Tue, 24 Nov 2009 10:17:24 -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/Nov/24/t1259083179iimwqpwzysfzwxa.htm/, Retrieved Tue, 24 Nov 2009 18:19:42 +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/Nov/24/t1259083179iimwqpwzysfzwxa.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 «
8.2 8 7.5 6.8 6.5 6.6 7.6 8 8.1 7.7 7.5 7.6 7.8 7.8 7.8 7.5 7.5 7.1 7.5 7.5 7.6 7.7 7.7 7.9 8.1 8.2 8.2 8.2 7.9 7.3 6.9 6.6 6.7 6.9 7 7.1 7.2 7.1 6.9 7 6.8 6.4 6.7 6.6 6.4 6.3 6.2 6.5 6.8 6.8 6.4 6.1 5.8 6.1 7.2 7.3 6.9 6.1 5.8 6.2 7.1 7.7 7.9 7.7 7.4 7.5 8 8.1 8
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8308546.90160
20.5399754.48541.4e-05
30.3103792.57820.006035
40.2725562.2640.01336
50.3676423.05390.001604
60.4438253.68670.000224
70.3767133.12920.001284
80.2270991.88640.031723
90.1070460.88920.188494
100.1018330.84590.200269
110.1813071.5060.06831
120.2525772.09810.019782
130.2108981.75180.042121
140.1185560.98480.164082
150.011130.09250.463303
16-0.052707-0.43780.331444
17-0.08423-0.69970.243243
18-0.09473-0.78690.217022
19-0.127358-1.05790.146892
20-0.17287-1.4360.077765
21-0.221018-1.83590.03534
22-0.268574-2.23090.014469
23-0.283483-2.35480.010692
24-0.263505-2.18880.015998
25-0.225023-1.86920.032921
26-0.166031-1.37920.08615
27-0.139095-1.15540.125954
28-0.164097-1.36310.088643
29-0.2362-1.9620.026897
30-0.309127-2.56780.006202
31-0.349149-2.90020.002499
32-0.347084-2.88310.002623
33-0.306495-2.54590.006568
34-0.253496-2.10570.019436
35-0.19916-1.65430.0513
36-0.160872-1.33630.09292


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8308546.90160
2-0.485482-4.03277e-05
30.1998231.65990.050741
40.3901883.24110.000917
50.0675610.56120.288237
6-0.118398-0.98350.164401
7-0.190406-1.58160.059153
80.1392621.15680.125673
90.0622610.51720.303343
100.0079410.0660.4738
11-0.006541-0.05430.478413
120.0259480.21550.414991
13-0.147395-1.22440.112491
140.1672271.38910.084635
15-0.201885-1.6770.049035
16-0.148121-1.23040.111365
17-0.096724-0.80350.212236
180.0716870.59550.276738
19-0.079452-0.660.255734
20-0.12805-1.06370.145595
21-0.021105-0.17530.430675
22-0.120653-1.00220.15987
230.1164180.9670.16845
24-0.009149-0.0760.469819
250.0159370.13240.447532
260.0636910.52910.299233
27-0.017628-0.14640.442006
28-0.065654-0.54540.293631
29-0.103439-0.85920.196594
30-0.096354-0.80040.213121
31-0.035094-0.29150.385767
32-0.117575-0.97660.166078
330.1266451.0520.148237
340.125011.03840.151352
350.0255620.21230.416236
360.0162440.13490.44653
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259083179iimwqpwzysfzwxa/1ddz81259083042.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259083179iimwqpwzysfzwxa/1ddz81259083042.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/24/t1259083179iimwqpwzysfzwxa/227n51259083042.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259083179iimwqpwzysfzwxa/227n51259083042.ps (open in new window)


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