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*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Tue, 09 Dec 2008 11:37:03 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/09/t1228847855k2ecoq19m4ej09q.htm/, Retrieved Tue, 09 Dec 2008 18:37:35 +0000
 
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/2008/Dec/09/t1228847855k2ecoq19m4ej09q.htm/},
    year = {2008},
}
@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 = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
113438 109416 109406 105645 101328 97686 93093 91382 122257 139183 139887 131822 116805 113706 113012 110452 107005 102841 98173 98181 137277 147579 146571 138920 130340 128140 127059 122860 117702 113537 108366 111078 150739 159129 157928 147768 137507 136919 136151 133001 125554 119647 114158 116193 152803 161761 160942 149470 139208 134588 130322 126611 122401 117352 112135 112879 148729 157230 157221 146681 136524 132111 125326 122716 116615 113719 110737 112093 143565 149946 149147 134339 122683 115614 116566 111272 104609 101802 94542 93051 124129 130374 123946 114971 105531 104919 104782 101281 94545 93248 84031 87486 115867 120327 117008 108811 104519
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8067087.94520
20.4898254.82423e-06
30.2226692.1930.015348
40.0783610.77180.221065
50.0434110.42760.334963
60.0208860.20570.418728
7-0.009156-0.09020.464166
8-0.007117-0.07010.47213
90.1095571.0790.14163
100.3377883.32680.000621
110.6016925.9260
120.7372547.26110
130.5422825.34090
140.2540932.50250.007002
150.0123790.12190.451606
16-0.117879-1.1610.124252
17-0.158641-1.56240.060721
18-0.192772-1.89860.030296
19-0.226743-2.23320.013918
20-0.226904-2.23470.013864
21-0.121084-1.19250.117979
220.0786660.77480.22018
230.3025882.98010.001821
240.4122024.05975e-05
250.2454862.41780.008742
260.0038660.03810.484852
27-0.192469-1.89560.030495
28-0.289439-2.85060.002665
29-0.312119-3.0740.001371
30-0.331073-3.26070.000767
31-0.348731-3.43460.000437
32-0.341302-3.36140.000555
33-0.245857-2.42140.00866
34-0.077961-0.76780.222229
350.1103941.08730.139809
360.2061722.03060.022519


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8067087.94520
2-0.460892-4.53938e-06
30.0625670.61620.2696
40.0763720.75220.226884
50.0442010.43530.332145
6-0.139316-1.37210.086597
70.0248230.24450.403688
80.1174221.15650.125164
90.3275483.2260.000856
100.2980012.9350.002082
110.3607463.55290.000295
120.0569070.56050.288226
13-0.721107-7.10210
140.2278062.24360.013565
15-0.170289-1.67720.048366
16-0.073266-0.72160.236144
17-0.075546-0.7440.229325
180.1050091.03420.151803
19-0.038695-0.38110.351981
20-0.14437-1.42190.079134
21-0.026285-0.25890.398138
22-0.075358-0.74220.229882
23-0.051145-0.50370.3078
240.0761840.75030.227436
25-0.018659-0.18380.427291
26-0.051002-0.50230.308294
270.0752940.74160.230073
28-0.022863-0.22520.411157
29-0.000658-0.00650.497419
30-0.008472-0.08340.466838
310.020180.19880.421435
32-0.087831-0.8650.194578
33-0.071595-0.70510.24121
34-0.050881-0.50110.308713
350.0018880.01860.492602
360.0067220.06620.473674
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/09/t1228847855k2ecoq19m4ej09q/1annm1228847818.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/09/t1228847855k2ecoq19m4ej09q/1annm1228847818.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/09/t1228847855k2ecoq19m4ej09q/2s1c51228847818.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/09/t1228847855k2ecoq19m4ej09q/2s1c51228847818.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
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 (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='lags',ylab='ACF')
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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