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PaperTimDamen

*Unverified author*
R Software Module: /rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Mon, 31 Jan 2011 10:42:34 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2011/Jan/31/t12964703872dehm4m10t36pac.htm/, Retrieved Mon, 31 Jan 2011 11:40:11 +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/2011/Jan/31/t12964703872dehm4m10t36pac.htm/},
    year = {2011},
}
@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 = {2011},
    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 «
349 336 331 327 323 322 385 405 412 411 410 415 414 411 408 410 411 416 479 498 502 498 499 506 510 509 502 495 490 490 553 570 573 572 575 580 580 574 563 556 546 545 605 628 631 626 614 606 602 589 574 558 552 546 607 636 631 623 618 605 619 596 570 546 528 506 555 568 564 553 541 542 540 521 505 491 482 478 523 531 532 540 525 533 531 508 495 482 470 466 515 518 516 511 500 498 494 476 458 443 430 424 476 481 470 460 451 450 444 429 421 400 389 384 432 446 431 423 416 416 413 399 386 374 365 365 418 428 424 421 417 423 423 419 406 398 390 391 444 460 455 456 452 459 461 451 443 439 430 436 488 506 502 501 501 515 521 520 512 509 505 511 570 592 594 586 586 592 594 594 586 586 572 572 563 563 555 555 554 554 601 601 622 622 617 617 606 606 595 595 599 599 600 600 592 592 575 575 567 567 555 555 555 555 608 etc...
 
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' @ www.wessa.org


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.95975421.28840
20.90583620.09240
30.84905118.83290
40.80114817.77030
50.76685917.00980
60.7333916.26740
70.7098315.74480
80.68874815.27720
90.68213315.13040
100.68404615.17290
110.69123515.33230
120.68778115.25570
130.64523114.31190
140.59287913.15070
150.54582612.1070
160.50865511.28250
170.48440210.74460
180.46131110.23240
190.445549.88260
200.4328489.6010
210.4333819.61280
220.4422929.81050
230.45117210.00750
240.45129910.01030
250.4025588.92920
260.3459487.67350
270.2883026.39490
280.2391175.30390
290.2017154.47425e-06
300.1654823.67060.000134
310.1381333.06390.001152
320.1148852.54830.005564
330.1057242.34510.00971
340.105462.33920.009862
350.1116352.47620.006807
360.1103652.4480.007357
370.0800391.77530.038229
380.0429410.95250.170659
390.010620.23560.406934
40-0.014407-0.31960.374721
41-0.029539-0.65520.256319
42-0.044194-0.98030.163715
43-0.053881-1.19510.116305
44-0.059293-1.31520.094529
45-0.05301-1.17580.12012
46-0.038503-0.8540.196747
47-0.025254-0.56010.287816
48-0.019297-0.4280.334408
49-0.05187-1.15050.12524
50-0.090622-2.01010.022483
51-0.130276-2.88970.002013
52-0.164602-3.6510.000145
53-0.189519-4.20371.6e-05
54-0.214291-4.75321e-06
55-0.233004-5.16830
56-0.246986-5.47840
57-0.248833-5.51940
58-0.243768-5.4070
59-0.232074-5.14760
60-0.225885-5.01040


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.95975421.28840
2-0.193891-4.30071e-05
3-0.036957-0.81970.206379
40.0936172.07650.019182
50.1151432.5540.005475
6-0.06915-1.53380.06286
70.119442.64930.004162
80.009390.20830.417552
90.1838144.07722.7e-05
100.0637091.41310.079125
110.0813011.80340.035972
12-0.138191-3.06520.001147
13-0.426844-9.46790
140.011690.25930.397759
150.1691863.75279.8e-05
160.0047710.10580.457879
170.0483421.07230.142061
18-0.008145-0.18070.428349
190.0479561.06370.143988
20-0.000647-0.01430.49428
210.0838931.86080.031682
220.0125370.27810.390535
23-0.059155-1.31210.095045
24-0.005122-0.11360.454794
25-0.44914-9.96240
260.0703371.56010.059684
27-0.028099-0.62330.266698
28-0.029753-0.65990.254798
29-0.009661-0.21430.415201
300.0250870.55640.289079
31-0.012435-0.27580.3914
320.0071840.15940.436727
33-0.009506-0.21090.416541
340.0256970.570.284476
350.0370570.8220.205751
360.0123390.27370.392215
370.0323460.71750.23671
380.0053710.11910.452612
390.0299120.66350.253669
40-0.030516-0.67690.249401
410.0009980.02210.491172
420.0020380.04520.481984
43-0.010138-0.22490.411087
440.0139540.30950.378532
450.0153730.3410.366626
460.0039410.08740.465188
47-0.074905-1.66150.048629
48-0.007976-0.17690.429827
49-0.151544-3.36140.000418
500.0127640.28310.388604
51-0.020503-0.45480.324732
52-0.032741-0.72620.234025
53-0.010867-0.2410.404814
540.0046270.10260.459147
55-0.050403-1.1180.132059
560.0061770.1370.445537
57-0.033442-0.74180.229285
58-0.028821-0.63930.261467
590.0532461.1810.119077
600.0190230.42190.336626
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2011/Jan/31/t12964703872dehm4m10t36pac/1x8xt1296470552.png (open in new window)
http://www.freestatistics.org/blog/date/2011/Jan/31/t12964703872dehm4m10t36pac/1x8xt1296470552.ps (open in new window)


http://www.freestatistics.org/blog/date/2011/Jan/31/t12964703872dehm4m10t36pac/2fn6z1296470552.png (open in new window)
http://www.freestatistics.org/blog/date/2011/Jan/31/t12964703872dehm4m10t36pac/2fn6z1296470552.ps (open in new window)


http://www.freestatistics.org/blog/date/2011/Jan/31/t12964703872dehm4m10t36pac/3y4cc1296470552.png (open in new window)
http://www.freestatistics.org/blog/date/2011/Jan/31/t12964703872dehm4m10t36pac/3y4cc1296470552.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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 (par8 != '') par8 <- as.numeric(par8)
ox <- x
if (par8 == '') {
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
} else {
x <- log(x,base=par8)
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='picts.png')
op <- par(mfrow=c(2,1))
plot(ox,type='l',main='Original Time Series',xlab='time',ylab='value')
if (par8=='') {
mytitle <- paste('Working Time Series (lambda=',par2,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
} else {
mytitle <- paste('Working Time Series (base=',par8,', d=',par3,', D=',par4,')',sep='')
mysub <- paste('(base=',par8,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep='')
}
plot(x,type='l', main=mytitle,xlab='time',ylab='value')
par(op)
dev.off()
bitmap(file='pic1.png')
racf <- acf(x, par1, main='Autocorrelation', xlab='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=mysub)
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF',sub=mysub)
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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