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s2 acf d1D1

*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: Sun, 07 Dec 2008 11:26:56 -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/07/t1228674454ll9uervubql8cjn.htm/, Retrieved Sun, 07 Dec 2008 18:27:34 +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/07/t1228674454ll9uervubql8cjn.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 «
137 136 133 126 120 114 116 153 162 161 149 139 135 130 127 122 117 112 113 149 157 157 147 137 132 125 123 117 114 111 112 144 150 149 134 123 116 117 111 105 102 95 93 124 130 124 115 106 105 105 101 95 93 84 87 116 120 117 109 105
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.09187-0.62980.265929
20.1549181.06210.146817
3-0.12566-0.86150.196674
40.0186480.12780.449408
5-0.167771-1.15020.127944
6-0.046807-0.32090.374857
70.1393860.95560.172086
8-0.046977-0.32210.374418
90.1079420.740.231486
10-0.038826-0.26620.395634
110.4204612.88250.002965
12-0.198719-1.36230.089791
130.019140.13120.448081
14-0.098587-0.67590.251215
15-0.033303-0.22830.410197
16-0.266801-1.82910.036867
170.0009850.00680.49732
18-0.022807-0.15640.438211
19-0.102-0.69930.243914
200.0711260.48760.314046
21-0.002426-0.01660.493399
220.1781821.22160.113984
23-0.14953-1.02510.155275
24-0.078885-0.54080.295597
250.0081240.05570.47791
26-0.029127-0.19970.421294
27-0.09743-0.66790.253718
28-0.026672-0.18290.427848
290.0201260.1380.445423
300.0068340.04680.481416
310.0882580.60510.274024
320.067370.46190.323155
33-0.024835-0.17030.432767
34-0.076942-0.52750.300168
35-0.055945-0.38350.351526
360.0178280.12220.451621
370.0230210.15780.437636
380.0048690.03340.486755
39-0.018699-0.12820.44927
40-0.002952-0.02020.491971
41-0.066116-0.45330.326221
420.0522230.3580.360964
430.0390420.26770.395067
44-0.005637-0.03860.484668
45-0.010609-0.07270.471165
46-0.052551-0.36030.360129
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.09187-0.62980.265929
20.1477241.01270.158183
3-0.103058-0.70650.241673
4-0.021238-0.14560.442429
5-0.140129-0.96070.170815
6-0.084454-0.5790.282681
70.1829081.2540.10803
8-0.043385-0.29740.383723
90.0476660.32680.372643
10-0.009624-0.0660.473838
110.4050782.77710.003927
12-0.111366-0.76350.224495
13-0.135173-0.92670.179409
140.0137920.09460.462536
15-0.029659-0.20330.419877
16-0.227957-1.56280.062405
17-0.051249-0.35130.363449
18-0.142821-0.97910.166264
19-0.132113-0.90570.184851
200.0264520.18130.428439
21-0.020094-0.13780.44551
22-0.018172-0.12460.450695
230.0502030.34420.366126
24-0.135441-0.92850.178937
250.1355250.92910.178789
260.0947050.64930.259663
270.0438150.30040.382605
28-0.133361-0.91430.182619
290.0158020.10830.457095
300.1523451.04440.150816
310.0092680.06350.474802
32-0.068446-0.46920.320533
33-0.192124-1.31710.09709
34-0.078199-0.53610.297207
350.0735270.50410.308281
36-0.097312-0.66710.253974
37-0.060038-0.41160.341252
380.0272960.18710.426182
39-0.025463-0.17460.431086
40-0.062753-0.43020.334503
41-0.045227-0.31010.378944
420.0180890.1240.450917
430.0496680.34050.367497
440.0537810.36870.357002
450.0167680.1150.454486
46-0.018793-0.12880.449018
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t1228674454ll9uervubql8cjn/1fpqu1228674410.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t1228674454ll9uervubql8cjn/1fpqu1228674410.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t1228674454ll9uervubql8cjn/2tmgy1228674410.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t1228674454ll9uervubql8cjn/2tmgy1228674410.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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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