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*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, 29 Nov 2010 09:54:26 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Nov/29/t12910243468hueudrh3ikzi71.htm/, Retrieved Mon, 29 Nov 2010 10:52:26 +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/2010/Nov/29/t12910243468hueudrh3ikzi71.htm/},
    year = {2010},
}
@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 = {2010},
    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 «
1483509 8036554 4623093 5528662 4221032 8061847 7640066 2935533 8161548 2543967 13163450 3348436 3997440 2322911 2019457 3047748 5728767 2605173 5646743 13121544 3453409 1878333 4247362 23022552 7646203 9016602 3606568 3173510 17568772 10805045 31056269 15623385 6663443 35435745 2823250 5197089 4120632 8832767 3695374 8385805 3777904 5199532 5297275 14847382 5900158 4416718 3926429 4876884 2795297 3385527 3877941 3556729 4982836 2976325 2295026 2218752 4146062 3302091 3864505 5454794 1749836 6684048 2809918 4092664 5070470 9814477 6665318 3912554 6188129 3627991 3308767 3820332 4932979 5567917 5020814 3803273 3999984 4883104 13731747 47531824 8415570 22178158 61211654 18223748 17678085 49299580 25899948 34121754 9859231 29740892 21085212 43003866 59549247 18026465 4680597 5564728 11792347 10371624 3728446 5732978 4067638 2395508 5018801 22068888 7678580 15510095 6471239 14349204 35151574 8210488 50226 etc...
 
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
10.5088079.54610
20.4120727.73120
30.4054747.60740
40.3362416.30840
50.358846.73240
60.3270886.13670
70.2874095.39230
80.2515024.71862e-06
90.2235384.19391.7e-05
100.2439784.57743e-06
110.2093983.92875.1e-05
120.1766933.31510.000506
130.2239934.20251.7e-05
140.2119793.97714.2e-05
150.0839861.57570.057994
160.0751781.41050.079642
170.0947751.77810.038123
180.0599911.12550.130566
190.0794091.48980.068581
200.0605231.13550.128467
210.0742881.39380.082133
220.0507170.95150.170991
230.067291.26250.103807
240.0845871.5870.056706
250.0846751.58860.056519
260.1289682.41970.008021
270.0729371.36840.086026
280.0870071.63240.051744
290.1288062.41660.008087
300.1443752.70870.003542
310.1416762.65810.004109
320.1055731.98070.0242
330.0915361.71740.043396
340.1363542.55820.005469
350.175793.29810.000536
360.1383822.59630.004909
370.1238932.32440.010335
380.0547091.02640.152695
390.0532270.99860.159332
400.0629111.18030.119334
410.0436970.81980.206433
420.0739181.38680.083185
430.050140.94070.17375
440.0240590.45140.325991
450.0421060.790.215036
460.0054360.1020.45941
47-0.017508-0.32850.371369
48-0.00715-0.13410.446683
490.0237460.44550.328109
50-0.073498-1.37890.084393
51-0.047276-0.8870.187847
52-0.035659-0.6690.251958
53-0.065701-1.23270.109261
54-0.041997-0.78790.215631
55-0.035916-0.67380.250428
56-0.015016-0.28170.389163
57-0.065611-1.2310.109578
58-0.060625-1.13740.128068
59-0.028126-0.52770.299023
60-0.073142-1.37230.085428


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5088079.54610
20.2066983.8786.3e-05
30.1888463.54310.000224
40.0563531.05730.145557
50.1347212.52760.005961
60.052850.99150.16105
70.0239990.45030.326402
8-0.008686-0.1630.435319
9-0.001102-0.02070.491762
100.0577491.08350.139671
11-0.005606-0.10520.458147
12-0.017667-0.33150.370249
130.0843711.58290.057166
140.0383450.71940.236182
15-0.156246-2.93140.001797
16-0.053822-1.00980.156645
170.0219480.41180.340372
18-0.027514-0.51620.303015
190.0146050.2740.392118
20-0.003812-0.07150.471512
210.0581151.09030.138154
22-0.009373-0.17590.430252
230.0274540.51510.30341
240.0237550.44570.328053
250.0490250.91980.179158
260.080751.5150.065335
27-0.074023-1.38880.082886
280.0391670.73480.231462
290.0966911.81410.035258
300.0542041.0170.154935
31-0.011667-0.21890.413434
32-0.033624-0.63080.264277
33-0.026327-0.49390.310827
340.0508420.95390.170398
350.0703761.32040.093786
36-0.035529-0.66660.252736
37-0.01419-0.26620.395112
38-0.10948-2.0540.020355
39-0.050388-0.94540.172561
40-0.021769-0.40840.341607
410.0142030.26650.395017
420.0295120.55370.290069
43-0.030652-0.57510.2828
44-0.017684-0.33180.370127
450.0304690.57160.283965
46-0.004453-0.08350.466732
47-0.057679-1.08220.139962
48-0.022804-0.42780.334515
490.059351.11350.133126
50-0.111892-2.09930.018252
510.0331170.62130.267395
520.0376550.70650.24018
53-0.010064-0.18880.425176
54-0.018008-0.33790.367838
55-0.010353-0.19420.423054
560.0297770.55870.288374
57-0.042228-0.79230.214367
58-0.012983-0.24360.403846
59-0.000424-0.0080.496828
60-0.049338-0.92570.177629
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Nov/29/t12910243468hueudrh3ikzi71/1tor91291024459.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/29/t12910243468hueudrh3ikzi71/1tor91291024459.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Nov/29/t12910243468hueudrh3ikzi71/2mf8c1291024459.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Nov/29/t12910243468hueudrh3ikzi71/2mf8c1291024459.ps (open in new window)


 
Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 0 ; par4 = 12 ;
 
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 (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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Software written by Ed van Stee & Patrick Wessa


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