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ARMA proces WS5 Q2: ACF

*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: Mon, 08 Dec 2008 11:50:21 -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/08/t1228762271n3a3cr011pq7xiz.htm/, Retrieved Mon, 08 Dec 2008 18:51:11 +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/08/t1228762271n3a3cr011pq7xiz.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
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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
ARMA proces WS5 Q2: ACF
 
Dataseries X:
» Textbox « » Textfile « » CSV «
235.1 280.7 264.6 240.7 201.4 240.8 241.1 223.8 206.1 174.7 203.3 220.5 299.5 347.4 338.3 327.7 351.6 396.6 438.8 395.6 363.5 378.8 357 369 464.8 479.1 431.3 366.5 326.3 355.1 331.6 261.3 249 205.5 235.6 240.9 264.9 253.8 232.3 193.8 177 213.2 207.2 180.6 188.6 175.4 199 179.6 225.8 234 200.2 183.6 178.2 203.2 208.5 191.8 172.8 148 159.4 154.5 213.2 196.4 182.8 176.4 153.6 173.2 171 151.2 161.9 157.2 201.7 236.4 356.1 398.3 403.7 384.6 365.8 368.1 367.9 347 343.3 292.9 311.5 300.9 366.9 356.9 329.7 316.2 269 289.3 266.2 253.6 233.8 228.4 253.6 260.1 306.6 309.2 309.5 271 279.9 317.9 298.4 246.7 227.3 209.1 259.9 266 320.6 308.5 282.2 262.7 263.5 313.1 284.3 252.6 250.3 246.5 312.7 333.2 446.4 511.6 515.5 506.4 483.2 522.3 509.8 460.7 405.8 375 378.5 406.8 467.8 469.8 429.8 355.8 332.7 378 360.5 334.7 319.5 323.1 363.6 352.1 411.9 388.6 416.4 360.7 338 417.2 388.4 371.1 331.5 353.7 396.7 447 533.5 565.4 542.3 488.7 467.1 531.3 496.1 444 403.4 386.3 394.1 404.1 462.1 448.1 432.3 386.3 395.2 421.9 382.9 384.2 345.5 323.4 372.6 376 462.7 487 444.2 399.3 394.9 455.4 414 375.5 347 339.4 385.8 378.8 451.8 446.1 422.5 383.1 352.8 445.3 367.5 355.1 326.2 319.8 331.8 340.9 394.1 417.2 369.9 349.2 321.4 405.7 342.9 316.5 284.2 270.9 288.8 278.8 324.4 310.9 299 273 279.3 359.2 305 282.1 250.3 246.5 257.9 266.5 315.9 318.4 295.4 266.4 245.8 362.8 324.9 294.2 289.5 295.2 290.3 272 307.4 328.7 292.9 249.1 230.4 361.5 321.7 277.2 260.7 251 257.6 241.8 287.5 292.3 274.7 254.2 230 339 318.2 287 295.8 284 271 262.7 340.6 379.4 373.3 355.2 338.4 466.9 451 422 429.2 425.9 460.7 463.6 541.4 544.2 517.5 469.4 439.4 549 533 506.1 484 457 481.5 469.5 544.7 541.2 521.5 469.7 434.4 542.6 517.3 485.7 465.8 447 426.6 411.6 467.5 484.5 451.2 417.4 379.9 484.7 455 420.8 416.5 376.3 405.6 405.8 500.8 514 475.5 430.1 414.4 538 526 488.5 520.2 504.4 568.5 610.6 818 830.9 835.9 782 762.3 856.9 820.9 769.6 752.2 724.4 723.1 719.5 817.4 803.3 752.5 689 630.4 765.5 757.7 732.2 702.6 683.3 709.5 702.2 784.8 810.9 755.6 656.8 615.1 745.3 694.1 675.7 643.7 622.1 634.6 588 689.7 673.9 647.9 568.8 545.7 632.6 643.8 593.1 579.7 546 562.9 572.5
 
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
10.95302918.38140
20.90590517.47250
30.86694116.7210
40.84824316.36030
50.83616316.12730
60.80342815.4960
70.78038415.05150
80.73907414.25470
90.70755713.64690
100.69730913.44920
110.70143813.52880
120.70586813.61430
130.65014312.53950
140.59770811.52820
150.55911710.78390
160.5444710.50140
170.54201310.4540
180.52401410.10680
190.51852310.00090
200.4949439.54610
210.4814829.28650
220.4903659.45780
230.509549.82760
240.530910.23960
250.4926199.50130
260.4552548.78060
270.4291158.27650
280.4234718.16760
290.4256968.21050
300.4105657.91870
310.4051847.81490
320.3812247.35280
330.3691997.12080
340.375547.24320
350.3931577.58290
360.4132397.97030
370.3752617.23780
380.3387766.53410
390.312056.01860
400.3054895.89210
410.3082775.94580
420.296065.71020
430.2937885.66640
440.2750555.30510
450.2682295.17340
460.2809515.41880
470.3046775.87640
480.3264046.29540
490.2933765.65840
500.2601315.01720
510.235584.54374e-06
520.229414.42476e-06
530.2310224.45586e-06
540.2140264.1282.3e-05
550.2063533.984.1e-05
560.1805073.48150.000279
570.1647553.17770.000804
580.1648753.180.000798
590.1732883.34230.000458
600.1799083.46990.000291


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95302918.38140
2-0.025716-0.4960.310095
30.0642851.23990.107901
40.2004623.86646.5e-05
50.0733211.41420.079076
6-0.203911-3.93295e-05
70.1545272.98040.001534
8-0.232935-4.49275e-06
90.0432520.83420.202348
100.2448234.7222e-06
110.1412312.7240.003377
12-0.026246-0.50620.306502
13-0.55096-10.62650
140.0418690.80750.209937
150.1317432.5410.00573
160.0941421.81580.035107
170.1473842.84260.00236
180.0490.94510.172619
190.1150292.21860.013559
20-0.048429-0.93410.175436
21-0.001037-0.020.492025
220.097841.88710.029964
23-0.048905-0.94320.173084
240.0705171.36010.087315
25-0.284097-5.47950
26-0.028151-0.5430.293741
270.0473130.91250.181037
280.0082990.16010.436455
29-0.013165-0.25390.399846
300.0125140.24140.404702
310.043310.83530.202036
320.0099950.19280.423617
330.0803871.55040.060943
340.0074660.1440.442786
350.0149530.28840.386598
360.0575681.11030.133788
37-0.202874-3.91295.4e-05
38-0.010231-0.19730.421839
39-0.001218-0.02350.490634
40-0.009231-0.1780.429394
410.0304970.58820.278375
420.0612441.18120.119133
430.0232820.4490.326832
440.0237610.45830.323507
450.0417240.80470.21074
460.0280720.54140.294269
47-0.00663-0.12790.449155
48-0.074431-1.43560.075981
49-0.095985-1.85130.03246
50-0.034802-0.67120.251242
51-0.006269-0.12090.451913
52-0.020787-0.40090.344355
530.0012330.02380.490523
54-0.058007-1.11880.131974
550.0053240.10270.459133
56-0.000266-0.00510.497957
57-0.030523-0.58870.278209
58-0.056019-1.08050.14032
59-0.018042-0.3480.364026
60-0.033445-0.64510.259642
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228762271n3a3cr011pq7xiz/16lxj1228762215.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228762271n3a3cr011pq7xiz/16lxj1228762215.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228762271n3a3cr011pq7xiz/2g0tj1228762215.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228762271n3a3cr011pq7xiz/2g0tj1228762215.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 0.0 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 0.0 ; 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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