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*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, 14 Dec 2009 03:07:52 -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/14/t12607853284174t4rarf9h6f7.htm/, Retrieved Mon, 14 Dec 2009 11:08:50 +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/14/t12607853284174t4rarf9h6f7.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
10.0779060.60350.274239
2-0.213304-1.65220.051854
30.0679810.52660.300214
40.0098210.07610.469806
50.238581.8480.034764
60.3165972.45230.008559
70.1924751.49090.070613
8-0.036133-0.27990.390264
9-0.042899-0.33230.370414
10-0.204576-1.58460.059152
110.0896610.69450.245022
120.6533235.06062e-06
13-0.011222-0.08690.46551
14-0.239744-1.8570.034107
15-0.009445-0.07320.470961
16-0.070484-0.5460.293556
170.1328681.02920.15376
180.1676871.29890.099474
190.0685460.5310.298704
20-0.130819-1.01330.157488
21-0.133544-1.03440.152544
22-0.242004-1.87460.032862
230.0243540.18860.425505
240.3476512.69290.004585
25-0.083826-0.64930.259306
26-0.255906-1.98220.026019
27-0.147666-1.14380.128621
28-0.072521-0.56170.288191
290.0354690.27470.392229
300.0193650.150.440632
310.0053950.04180.483403
32-0.170942-1.32410.095245
33-0.185032-1.43330.078488
34-0.142-1.09990.137878
35-0.057001-0.44150.330208
360.1710721.32510.095078


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0779060.60350.274239
2-0.220713-1.70960.04625
30.1115390.8640.195521
4-0.060346-0.46740.320939
50.3053122.36490.010642
60.2687692.08190.020814
70.3443072.6670.004912
80.0669180.51830.303061
90.0701320.54320.294489
10-0.459708-3.56090.000365
11-0.169796-1.31520.096718
120.417523.23410.000993
13-0.028179-0.21830.413978
140.0211650.16390.435164
15-0.017994-0.13940.444807
16-0.052543-0.4070.342728
17-0.072634-0.56260.287896
18-0.192102-1.4880.070992
19-0.097544-0.75560.22643
20-0.151818-1.1760.122124
210.0200780.15550.438464
22-0.086058-0.66660.25379
230.0411470.31870.375522
24-0.10438-0.80850.210992
250.1065910.82570.206136
26-0.03066-0.23750.406543
27-0.063856-0.49460.311335
280.0684570.53030.298942
29-0.036411-0.2820.389443
30-0.087758-0.67980.249633
31-0.029728-0.23030.40933
32-0.086906-0.67320.251712
33-0.036001-0.27890.390655
340.1504331.16520.124266
35-0.084035-0.65090.258787
360.0407510.31570.37668
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607853284174t4rarf9h6f7/127vt1260785271.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607853284174t4rarf9h6f7/127vt1260785271.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/14/t12607853284174t4rarf9h6f7/2ouig1260785271.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/14/t12607853284174t4rarf9h6f7/2ouig1260785271.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 2.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 2.0 ; 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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Software written by Ed van Stee & Patrick Wessa


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