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paper ACF d en D 1

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Thu, 18 Dec 2008 08:18:32 -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/18/t1229613556j2epz88ab3h3kkr.htm/, Retrieved Thu, 18 Dec 2008 16:19:16 +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/2008/Dec/18/t1229613556j2epz88ab3h3kkr.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},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
Severijns Britt
 
Dataseries X:
» Textbox « » Textfile « » CSV «
492865 480961 461935 456608 441977 439148 488180 520564 501492 485025 464196 460170 467037 460070 447988 442867 436087 431328 484015 509673 512927 502831 470984 471067 476049 474605 470439 461251 454724 455626 516847 525192 522975 518585 509239 512238 519164 517009 509933 509127 500857 506971 569323 579714 577992 565464 547344 554788 562325 560854 555332 543599 536662 542722 593530 610763 612613 611324 594167 595454 590865 589379 584428 573100 567456 569028 620735 628884 628232 612117 595404 597141 593408 590072 579799 574205 572775 572942 619567 625809 619916 587625 565742 557274 560576 548854 531673 525919 511038 498662 555362 564591 541657 527070 509846 514258 516922 507561 492622 490243 469357 477580 528379 533590
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.019751-0.18840.425488
2-0.024666-0.23530.407254
30.0002070.0020.499214
40.0751930.71730.237514
50.0794920.75830.225115
60.0763620.72840.234105
70.0165430.15780.437477
80.1000010.95390.171319
90.1071671.02230.154672
10-0.065346-0.62340.267302
11-0.022417-0.21380.415574
12-0.2292-2.18640.015675
130.0055040.05250.479119
140.2436182.3240.011177
150.003140.030.488085
16-0.00494-0.04710.481258
17-0.080159-0.76470.223223
180.0693040.66110.255104
190.0716290.68330.248077
200.0118670.11320.45506
210.0587730.56070.288204
220.0713750.68090.248839
230.1863881.7780.03937
24-0.08758-0.83550.202825
25-0.117673-1.12250.132296
26-0.177121-1.68960.047261
270.0840660.80190.212338
28-0.028237-0.26940.394129
290.1183921.12940.130852
30-0.104087-0.99290.161688
31-0.091379-0.87170.192833
320.0210180.20050.420771
33-0.098875-0.94320.174037
34-0.073935-0.70530.241213
35-0.032687-0.31180.377946
360.0362870.34620.365011
370.0973320.92850.177806
380.1075041.02550.153917
39-0.137822-1.31470.095951
40-0.071359-0.68070.248888
410.0076280.07280.471077
42-0.020708-0.19750.42192
430.0649060.61920.268677
44-0.084827-0.80920.210257
45-0.064751-0.61770.269162
460.0051310.04890.480535
47-0.147555-1.40760.081331
48-0.086714-0.82720.205145
49-0.09804-0.93520.17607
500.0246010.23470.407491
51-0.02601-0.24810.4023
52-0.00323-0.03080.487745
53-0.148719-1.41870.079703
540.0134380.12820.449142
55-0.084623-0.80730.210814
560.0014790.01410.494387
570.0419860.40050.344856
58-0.049009-0.46750.320623
590.0193470.18460.426992
600.0153880.14680.441811


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.019751-0.18840.425488
2-0.025065-0.23910.405779
3-0.000788-0.00750.497009
40.0746390.7120.239139
50.0830550.79230.215126
60.0848740.80960.210129
70.0255690.24390.403923
80.1018720.97180.166864
90.1062921.0140.156644
10-0.0714-0.68110.248765
11-0.037847-0.3610.359455
12-0.27311-2.60530.005361
13-0.065123-0.62120.267999
140.2201942.10050.019225
150.0267470.25510.399592
160.0624740.5960.276339
17-0.056396-0.5380.295951
180.086350.82370.206123
190.0986570.94110.174566
200.0344310.32850.371661
210.1183571.12910.130922
22-0.025235-0.24070.405154
230.1325191.26420.104702
24-0.161857-1.5440.063027
25-0.19437-1.85420.033477
26-0.16345-1.55920.061208
27-0.035501-0.33870.367824
28-0.104959-1.00120.159682
290.1091651.04140.150233
30-0.020014-0.19090.424505
310.0315380.30080.382108
320.0899430.8580.196574
330.0138550.13220.447572
340.0036320.03470.486217
350.0153010.1460.442138
36-0.042441-0.40490.343264
37-0.070191-0.66960.252409
380.0736970.7030.241916
39-0.068126-0.64990.258703
40-0.074836-0.71390.238561
41-0.051094-0.48740.313572
42-0.084368-0.80480.211512
43-0.017766-0.16950.4329
44-0.017154-0.16360.435188
45-0.043832-0.41810.338418
460.0098250.09370.462768
47-0.054862-0.52340.301001
480.0163210.15570.438309
49-0.028947-0.27610.391534
500.0496660.47380.318396
51-0.028684-0.27360.392494
52-0.09509-0.90710.183374
53-0.029376-0.28020.389969
540.0490030.46750.320646
55-0.036559-0.34870.364041
56-0.020895-0.19930.421227
570.0087830.08380.466705
58-0.081301-0.77560.220008
59-0.051892-0.4950.310889
600.0068890.06570.473875
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229613556j2epz88ab3h3kkr/11pi61229613507.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229613556j2epz88ab3h3kkr/11pi61229613507.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229613556j2epz88ab3h3kkr/2nhsk1229613507.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229613556j2epz88ab3h3kkr/2nhsk1229613507.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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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