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WS8: acf 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, 27 Nov 2009 08:07:41 -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/27/t125933455958jp6t0kaelvux7.htm/, Retrieved Fri, 27 Nov 2009 16:09:21 +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/27/t125933455958jp6t0kaelvux7.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 «
9.9 9.8 9.3 8.3 8 8.5 10.4 11.1 10.9 10 9.2 9.2 9.5 9.6 9.5 9.1 8.9 9 10.1 10.3 10.2 9.6 9.2 9.3 9.4 9.4 9.2 9 9 9 9.8 10 9.8 9.3 9 9 9.1 9.1 9.1 9.2 8.8 8.3 8.4 8.1 7.7 7.9 7.9 8 7.9 7.6 7.1 6.8 6.5 6.9 8.2 8.7 8.3 7.9 7.5 7.8 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
10.861296.72690
20.6052954.72757e-06
30.4129323.22510.001013
40.3943253.07980.001552
50.4955723.87050.000133
60.5818384.54431.3e-05
70.5459184.26383.5e-05
80.4266683.33240.000733
90.3188492.49030.007752
100.2824022.20560.015594
110.2999742.34290.011207
120.2997332.3410.011259
130.2095851.63690.053399
140.0972040.75920.225331
150.0209150.16340.435391
160.0097040.07580.469918
170.0292690.22860.409972
180.0266920.20850.417779
19-0.03224-0.25180.40102
20-0.106272-0.830.204885
21-0.137107-1.07080.144229
22-0.105866-0.82680.205774
23-0.050057-0.3910.348596
24-0.029963-0.2340.407878
25-0.088375-0.69020.246334
26-0.173957-1.35860.089631
27-0.224661-1.75470.04217
28-0.218051-1.7030.046826
29-0.176762-1.38060.086226
30-0.14887-1.16270.124738
31-0.171214-1.33720.093057
32-0.224917-1.75670.041997
33-0.261759-2.04440.022618
34-0.264505-2.06580.021549
35-0.242102-1.89090.031696
36-0.225646-1.76230.04151


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.861296.72690
2-0.528805-4.13015.6e-05
30.3837312.9970.001969
40.392363.06440.001623
50.0437390.34160.366907
6-0.048889-0.38180.351954
7-0.118556-0.9260.17906
80.1578361.23270.111202
90.0106940.08350.466853
10-0.109945-0.85870.196935
11-0.046849-0.36590.357852
12-0.105263-0.82210.207103
13-0.278863-2.1780.016641
140.2410631.88280.032252
15-0.168979-1.31980.095922
16-0.111694-0.87240.193217
170.0160440.12530.450345
18-0.008688-0.06790.473061
19-0.011138-0.0870.465481
200.0028390.02220.49119
210.1270290.99210.162527
220.0935410.73060.233917
23-0.044906-0.35070.3635
240.0217570.16990.432814
25-0.044826-0.35010.363735
26-0.055565-0.4340.332918
270.0164830.12870.448994
28-0.146999-1.14810.127705
29-0.014221-0.11110.455963
30-0.059656-0.46590.321464
31-0.090832-0.70940.240384
32-0.044327-0.34620.365191
33-0.032736-0.25570.399531
34-0.075669-0.5910.278354
350.0285970.22340.412004
36-0.017872-0.13960.444725
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/27/t125933455958jp6t0kaelvux7/1r0341259334460.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t125933455958jp6t0kaelvux7/1r0341259334460.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/27/t125933455958jp6t0kaelvux7/2tj7k1259334460.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t125933455958jp6t0kaelvux7/2tj7k1259334460.ps (open in new window)


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