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autocorrelation < 20

*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: Thu, 18 Dec 2008 07:35:59 -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/t1229611105w9xn8he4rb86amy.htm/, Retrieved Thu, 18 Dec 2008 15:38:25 +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/t1229611105w9xn8he4rb86amy.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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
12460 12870 14122 15366 15366 15046 10356 10194 11027 11449 12107 12862 12587 13951 15210 17511 17247 16900 12237 12188 12801 13276 14171 14629 16242 17239 18516 19862 19542 18515 13182 13148 13853 14341 14895 15317 15649 16373 17543 18911 19401 18295 12665 12246 12969 13563 15714 16094 15823 15460 16827 18279 18789 18041 12129 11708 12387 12982 13664 14073 14222 14715 15697 16908 17412 16232 10281 10258 11013 11779 12333 12684 12654 13239 14729 16146 16324 13797 9399 9626 10290 10931 11382 11704 11716 12470 13662 15097 15821 13083 9081 9479 10295 10999 11643 12055 12431 12940 14168 16031 16445 14245 9820 10389 11298 12156 12759 13414 13683 14070 15176 16694 17694 14294 9255 9868 10878 11685 12496 12488
 
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
10.7726838.46430
20.4059964.44751e-05
30.1057731.15870.124444
4-0.042264-0.4630.32211
5-0.070841-0.7760.219629
6-0.069276-0.75890.224705
7-0.077858-0.85290.19771
8-0.054303-0.59490.27653
90.0756420.82860.204484
100.33123.62810.00021
110.6406087.01750
120.8111068.88520
130.5928426.49430
140.2592092.83950.002654
15-0.017198-0.18840.425444
16-0.152993-1.6760.048175
17-0.179379-1.9650.025863
18-0.177107-1.94010.027356
19-0.179034-1.96120.026085
20-0.153415-1.68060.047724
21-0.031528-0.34540.36521
220.1952722.13910.017227
230.4672625.11861e-06
240.605076.62820
250.4025914.41021.1e-05
260.1083171.18660.118874
27-0.131276-1.43810.076511
28-0.245206-2.68610.004127
29-0.261555-2.86520.002461
30-0.254521-2.78810.003083
31-0.259478-2.84240.002631
32-0.239349-2.62190.004938
33-0.135844-1.48810.069674
340.0622760.68220.248212
350.3060173.35230.000536
360.4211184.61315e-06
370.2379162.60620.005157
38-0.01829-0.20040.420769
39-0.228631-2.50450.006802
40-0.325099-3.56130.000265
41-0.332533-3.64272e-04
42-0.31877-3.49190.000336
43-0.317859-3.4820.000348
44-0.295051-3.23210.000793
45-0.197973-2.16870.01604
46-0.018094-0.19820.421608
470.1994352.18470.015427
480.2943.22060.000823
490.1345631.47410.071542
50-0.074002-0.81070.209584
51-0.239644-2.62520.004894
52-0.309376-3.3890.000475
53-0.313624-3.43560.000406
54-0.301461-3.30230.000632
55-0.296869-3.2520.000744
56-0.267837-2.9340.002005
57-0.176218-1.93040.02796
58-0.018548-0.20320.419668
590.1644981.8020.037029
600.2347062.57110.00568


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7726838.46430
2-0.474099-5.19350
30.0309440.3390.367611
40.0595680.65250.257651
5-0.007024-0.07690.469396
6-0.082306-0.90160.184534
7-0.027693-0.30340.381071
80.1119321.22620.11127
90.2630472.88150.002345
100.3635993.9835.9e-05
110.4483894.91191e-06
120.2431122.66320.004402
13-0.663829-7.27190
140.2349442.57370.00564
15-0.116427-1.27540.102317
16-0.125399-1.37370.086051
17-0.064481-0.70640.240667
18-0.008819-0.09660.4616
19-0.026631-0.29170.385501
20-0.107425-1.17680.120806
210.0335630.36770.356886
22-0.027966-0.30640.379934
23-0.001524-0.01670.493354
240.0036640.04010.484024
25-0.07369-0.80720.210566
260.0808760.8860.188707
270.0103390.11330.455006
28-0.047893-0.52460.3004
290.026210.28710.387258
30-0.016771-0.18370.427271
31-0.118153-1.29430.099023
32-0.001067-0.01170.495349
33-0.095222-1.04310.149498
340.0052520.05750.477108
35-0.01861-0.20390.419403
36-0.048474-0.5310.298196
37-0.018511-0.20280.419825
38-0.011041-0.12090.451969
39-0.064364-0.70510.241067
40-0.019813-0.2170.414272
41-0.004313-0.04720.481198
42-0.002272-0.02490.490093
43-0.006784-0.07430.470443
440.0016850.01850.492652
450.035720.39130.348138
46-0.038913-0.42630.335339
47-0.037791-0.4140.339814
48-0.002826-0.0310.487678
490.0319810.35030.363351
500.0638140.69910.242936
510.0116250.12730.449441
520.009490.1040.458687
53-0.066211-0.72530.234837
540.0313870.34380.365788
550.0281480.30830.379177
56-0.014878-0.1630.435405
57-0.034172-0.37430.354409
58-0.020819-0.22810.409992
59-0.063292-0.69330.244721
600.0123760.13560.446194
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229611105w9xn8he4rb86amy/17w1r1229610954.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229611105w9xn8he4rb86amy/17w1r1229610954.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229611105w9xn8he4rb86amy/296021229610954.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229611105w9xn8he4rb86amy/296021229610954.ps (open in new window)


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