Home » date » 2009 » Dec » 04 »

paper d=D=0

*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: Fri, 04 Dec 2009 07:37:18 -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/04/t1259937543qvhoyvctshlfvcu.htm/, Retrieved Fri, 04 Dec 2009 15:39:06 +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/04/t1259937543qvhoyvctshlfvcu.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 «
4716.99 4926.65 4920.10 5170.09 5246.24 5283.61 4979.05 4825.20 4695.12 4711.54 4727.22 4384.96 4378.75 4472.93 4564.07 4310.54 4171.38 4049.38 3591.37 3720.46 4107.23 4101.71 4162.34 4136.22 4125.88 4031.48 3761.36 3408.56 3228.47 3090.45 2741.14 2980.44 3104.33 3181.57 2863.86 2898.01 3112.33 3254.33 3513.47 3587.61 3727.45 3793.34 3817.58 3845.13 3931.86 4197.52 4307.13 4229.43 4362.28 4217.34 4361.28 4327.74 4417.65 4557.68 4650.35 4967.18 5123.42 5290.85 5535.66 5514.06 5493.88 5694.83 5850.41 6116.64 6175.00 6513.58 6383.78 6673.66 6936.61 7300.68 7392.93 7497.31 7584.71 7160.79 7196.19 7245.63 7347.51 7425.75 7778.51 7822.33 8181.22 8371.47 8347.71 8672.11 8802.79 9138.46 9123.29 9023.21 8850.41 8864.58 9163.74 8516.66 8553.44 7555.20 7851.22 7442.00 7992.53 8264.04 7517.39 7200.40 7193.69 6193.58 5104.21 4800.46 4461.61 4398.59 4243.63 4293.82
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time4 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.98530910.23960
20.96578810.03680
30.9398099.76680
40.9111379.46880
50.8800979.14620
60.849118.82420
70.8200858.52260
80.7904918.2150
90.7599677.89780
100.7265797.55080
110.6939047.21130
120.6554226.81130
130.6140816.38170
140.5729685.95450
150.5306075.51420
160.4908435.1011e-06
170.449334.66964e-06
180.4100394.26132.2e-05
190.3688893.83360.000106
200.3277823.40640.000463
210.2877742.99060.001724
220.2503222.60140.005293
230.2134722.21850.014308
240.1773411.8430.034037
250.1432791.4890.069701
260.1076441.11870.132883
270.0732220.76090.224174
280.0374750.38940.348856
290.0005890.00610.497562
30-0.037021-0.38470.350597
31-0.07423-0.77140.22107
32-0.110059-1.14380.127624
33-0.144823-1.5050.067616
34-0.177314-1.84270.034057
35-0.207853-2.16010.016489
36-0.234481-2.43680.008226
37-0.258866-2.69020.004138
38-0.279968-2.90950.002198
39-0.298548-3.10260.001224
40-0.31647-3.28890.000679
41-0.33265-3.4570.000391
42-0.347824-3.61470.000229
43-0.362073-3.76280.000137
44-0.375562-3.9038.3e-05
45-0.388057-4.03285.2e-05
46-0.399259-4.14923.3e-05
47-0.408559-4.24592.3e-05
48-0.41652-4.32861.7e-05
49-0.422151-4.38711.3e-05
50-0.426643-4.43381.1e-05
51-0.42944-4.46291e-05
52-0.430816-4.47729e-06
53-0.431744-4.48689e-06
54-0.430793-4.47699e-06
55-0.428335-4.45141e-05
56-0.424269-4.40911.2e-05
57-0.417828-4.34221.6e-05
58-0.409044-4.25092.3e-05
59-0.399509-4.15183.3e-05
60-0.389398-4.04674.9e-05


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.98530910.23960
2-0.17296-1.79750.037529
3-0.210631-2.18890.015377
4-0.048562-0.50470.307409
5-0.040217-0.41790.338409
60.0247190.25690.398877
70.0752420.78190.217982
8-0.060717-0.6310.26469
9-0.077918-0.80980.209932
10-0.11544-1.19970.116443
110.0435530.45260.325866
12-0.196007-2.0370.02205
13-0.081421-0.84610.199671
140.0790610.82160.20655
15-0.054165-0.56290.287335
160.0770220.80040.212608
17-0.103338-1.07390.142627
18-0.004543-0.04720.481217
19-0.10603-1.10190.136479
20-0.025839-0.26850.394403
210.088070.91530.181049
220.0502290.5220.301371
23-0.035213-0.36590.357561
24-0.00795-0.08260.467155
25-0.0268-0.27850.390575
26-0.105293-1.09420.138142
27-0.018486-0.19210.424008
28-0.03106-0.32280.373739
29-0.091883-0.95490.170888
30-0.039979-0.41550.339308
310.0441280.45860.323724
32-0.033398-0.34710.364604
33-0.051032-0.53030.298483
34-0.011435-0.11880.452812
350.0181950.18910.425189
360.0461330.47940.316302
370.0578990.60170.274315
380.0494130.51350.304319
39-0.009012-0.09370.462777
40-0.064302-0.66820.252701
410.0106080.11020.45621
420.0143640.14930.440809
43-0.056367-0.58580.279623
44-0.001486-0.01540.493853
45-0.014171-0.14730.441596
46-0.022843-0.23740.406403
47-0.013847-0.14390.442924
48-0.018705-0.19440.423117
49-0.007239-0.07520.470085
50-0.08159-0.84790.199184
510.0527230.54790.292441
520.0229110.23810.406129
53-0.053943-0.56060.288119
540.0454770.47260.318723
550.0178760.18580.426486
560.0063120.06560.473909
570.0598770.62230.267541
580.0542890.56420.286899
59-0.030027-0.3120.377804
60-0.070813-0.73590.231692
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259937543qvhoyvctshlfvcu/1rhuh1259937434.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259937543qvhoyvctshlfvcu/1rhuh1259937434.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/04/t1259937543qvhoyvctshlfvcu/2f0o41259937434.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/04/t1259937543qvhoyvctshlfvcu/2f0o41259937434.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 60 ; 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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