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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: Wed, 09 Dec 2009 10:46:40 -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/09/t1260380940clhla8f0icsix1n.htm/, Retrieved Wed, 09 Dec 2009 18:49:02 +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/09/t1260380940clhla8f0icsix1n.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 «
24 22 25 24 29 26 26 21 23 22 21 16 19 16 25 27 23 22 23 20 24 23 20 21 22 17 21 19 23 22 15 23 21 18 18 18 18 10 13 10 9 9 6 11 9 10 9 16 10 7 7 14 11 10 6 8 13 12 15 16 16
 
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
10.8200016.40440
20.7765816.06530
30.7186365.61270
40.6958235.43461e-06
50.6259584.88894e-06
60.5533874.32212.9e-05
70.4823113.7670.000187
80.4667123.64510.000277
90.4188993.27170.000881
100.3913093.05620.001662
110.3783872.95530.002217
120.3870123.02270.00183
130.3138352.45110.008561
140.2922762.28270.012972
150.2366451.84830.034707
160.1770331.38270.085903
170.1081290.84450.20084
180.0445590.3480.364514
19-0.006031-0.04710.481291
20-0.042722-0.33370.369887
21-0.118889-0.92860.178391
22-0.155964-1.21810.113935
23-0.157422-1.22950.111803
24-0.163031-1.27330.103869
25-0.192743-1.50540.068695
26-0.20004-1.56240.061688
27-0.181225-1.41540.081016
28-0.204351-1.5960.057825
29-0.208387-1.62760.054387
30-0.231413-1.80740.037816
31-0.243224-1.89960.031105
32-0.271897-2.12360.018885
33-0.314155-2.45360.008507
34-0.365514-2.85480.002939
35-0.368418-2.87740.002759
36-0.373542-2.91750.002467


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8200016.40440
20.3180112.48370.007882
30.0800690.62540.267033
40.1175510.91810.181091
5-0.076318-0.59610.276669
6-0.120635-0.94220.174906
7-0.089393-0.69820.243859
80.1050380.82040.207598
90.0082280.06430.474486
100.0480270.37510.354444
110.1076470.84070.201886
120.1019960.79660.214383
13-0.224102-1.75030.042548
14-0.05425-0.42370.336635
15-0.113183-0.8840.190088
16-0.195868-1.52980.065621
17-0.090939-0.71030.240126
18-0.017344-0.13550.446348
190.0290320.22680.410688
200.0354310.27670.391463
21-0.073683-0.57550.283542
22-0.042055-0.32850.371845
230.0491990.38430.351063
240.0046710.03650.485508
25-0.033869-0.26450.396134
260.0027640.02160.491422
270.1322381.03280.152884
28-0.080902-0.63190.264917
290.0202940.15850.437292
300.0052090.04070.48384
31-0.07585-0.59240.277884
32-0.108983-0.85120.198999
33-0.064358-0.50270.308508
34-0.163891-1.280.102691
35-0.025828-0.20170.420403
360.1020720.79720.214211
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/09/t1260380940clhla8f0icsix1n/1rccn1260380799.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/09/t1260380940clhla8f0icsix1n/1rccn1260380799.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/09/t1260380940clhla8f0icsix1n/26h6z1260380799.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/09/t1260380940clhla8f0icsix1n/26h6z1260380799.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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