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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: Tue, 24 Nov 2009 06:48:32 -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/t1259070552m8ax2un13jguesx.htm/, Retrieved Tue, 24 Nov 2009 14:49:15 +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/t1259070552m8ax2un13jguesx.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 «
11 8 6 10 11 10 9 8 11 10 12 13 13 13 13 13 12 13 12 13 12 14 11 12 13 13 12 10 9 10 10 9 7 11 11 12 13 13 12 12 10 12 12 12 10 13 13 11 13 12 11 12 12 11 10 9 10 9 6 7 5 8 5 5 5 1 3 5 7 2 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
1-0.337414-2.56970.006386
2-0.023667-0.18020.428795
3-0.091633-0.69790.244027
40.0491470.37430.354776
50.1680911.28010.102795
6-0.116691-0.88870.188921
70.1201560.91510.18197
8-0.143384-1.0920.139679
90.0386950.29470.384642
10-0.098695-0.75160.227653
110.1468141.11810.134066
12-0.067773-0.51610.303859
13-0.104765-0.79790.214101
14-0.134281-1.02270.155359
150.0684470.52130.30208
160.0859260.65440.257724
17-0.089321-0.68020.249527
180.0626740.47730.317468
19-0.171375-1.30520.098497
200.0970380.7390.231438
21-0.120397-0.91690.181492
220.1543061.17520.122367
23-0.090365-0.68820.247036
24-0.079176-0.6030.274435
250.0756670.57630.283332
26-0.041073-0.31280.377776
270.1166180.88810.189068
28-0.045159-0.34390.366074
290.0233490.17780.429742
30-0.097427-0.7420.230547
310.1365711.04010.151306
32-0.008592-0.06540.474028
330.0949250.72290.236314
34-0.056527-0.43050.334214
350.0510240.38860.349501
36-0.097283-0.74090.230875


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.337414-2.56970.006386
2-0.155182-1.18180.121048
3-0.17717-1.34930.091245
4-0.064674-0.49250.312098
50.168591.28390.102133
60.0069460.05290.478998
70.1491161.13560.130391
8-0.029448-0.22430.411669
9-0.03585-0.2730.392902
10-0.16251-1.23760.110419
110.0455170.34660.365056
12-0.063054-0.48020.316445
13-0.119495-0.910.183282
14-0.272624-2.07620.021157
15-0.103928-0.79150.21594
16-0.043326-0.330.37131
17-0.041933-0.31930.375305
180.0741910.5650.287119
19-0.05745-0.43750.331677
20-0.0112-0.08530.46616
21-0.149047-1.13510.1305
22-0.009882-0.07530.470134
23-0.145986-1.11180.135407
24-0.176769-1.34620.091733
25-0.081661-0.62190.268219
26-0.099363-0.75670.226139
27-0.094304-0.71820.23776
280.0118150.090.464306
29-0.007947-0.06050.475973
30-0.088948-0.67740.250419
310.0390640.29750.383572
32-0.014487-0.11030.456264
330.0253710.19320.42373
34-0.059275-0.45140.326683
350.0651460.49610.310836
36-0.203725-1.55150.063108
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259070552m8ax2un13jguesx/1h1o81259070511.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259070552m8ax2un13jguesx/1h1o81259070511.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/24/t1259070552m8ax2un13jguesx/2p1od1259070511.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259070552m8ax2un13jguesx/2p1od1259070511.ps (open in new window)


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