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ACF d=1 D=0

*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: Sat, 13 Dec 2008 03:37:30 -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/13/t1229164739shp0sos2m8m3oq0.htm/, Retrieved Sat, 13 Dec 2008 11:38:59 +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/13/t1229164739shp0sos2m8m3oq0.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 «
6.4 6.8 7.5 7.5 7.6 7.6 7.4 7.3 7.1 6.9 6.8 7.5 7.6 7.8 8 8.1 8.2 8.3 8.2 8 7.9 7.6 7.6 8.2 8.3 8.4 8.4 8.4 8.6 8.9 8.8 8.3 7.5 7.2 7.5 8.8 9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.6 8.2 8.1 8 8.6 8.7 8.8 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8.1 8.2 8.1 8.1 7.9 7.9 7.9 8 8 7.9 8 7.7 7.2 7.5 7.3 7 7 7 7.2 7.3 7.1 6.8 6.6 6.2 6.2 6.8
 
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
10.3572313.25450.000822
2-0.13493-1.22930.111222
3-0.42042-3.83020.000124
4-0.375246-3.41870.000489
5-0.034896-0.31790.375672
60.2601562.37010.01005
70.1294681.17950.120782
8-0.116825-1.06430.145133
9-0.182292-1.66080.050268
10-0.086855-0.79130.215517
110.1785241.62640.053824
120.5277924.80843e-06
130.1548851.41110.08098
14-0.076511-0.6970.24386
15-0.242504-2.20930.014954
16-0.194636-1.77320.039931
17-0.025-0.22780.410197
180.1546291.40870.081325
190.0578080.52670.299918
20-0.077967-0.71030.239751
21-0.113336-1.03250.15241
22-0.015446-0.14070.444216
230.0917240.83560.202876
240.3028282.75890.003567
250.0641950.58480.280121
26-0.056562-0.51530.303856
27-0.160982-1.46660.073129
28-0.105635-0.96240.169327
29-0.021325-0.19430.423214
300.0263610.24020.405398
310.024920.2270.410478
32-0.035823-0.32640.372486
330.0116820.10640.457749
340.0292720.26670.39519
350.0012150.01110.495597
360.1209511.10190.136841
37-0.06215-0.56620.286388
38-0.053781-0.490.312725
39-0.05666-0.51620.303544
400.0461950.42090.337473
410.095320.86840.193837
420.0740770.67490.250817
43-0.042668-0.38870.349239
44-0.189873-1.72980.043689
45-0.112331-1.02340.15455
46-0.063751-0.58080.281475
470.032110.29250.385303
480.1870311.70390.046068


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3572313.25450.000822
2-0.300949-2.74180.003741
3-0.315368-2.87310.002579
4-0.179063-1.63130.053303
50.0527960.4810.315894
60.0900370.82030.207204
7-0.2122-1.93320.028309
8-0.188119-1.71380.045145
90.0091550.08340.466864
100.022710.20690.418299
110.1080140.98410.163975
120.4267553.88790.000101
13-0.200985-1.83110.03534
140.2059771.87650.032048
150.1325371.20750.115341
160.1357981.23720.109756
17-0.021338-0.19440.423169
180.0236490.21550.414971
190.011830.10780.457217
20-0.006829-0.06220.475269
21-0.084223-0.76730.222537
220.0571250.52040.302074
23-0.134258-1.22320.112367
240.0463250.4220.337044
25-0.065329-0.59520.276672
26-0.007427-0.06770.473109
27-0.044291-0.40350.343805
280.0070890.06460.474332
29-0.023313-0.21240.416161
30-0.158333-1.44250.076465
310.0804520.7330.232826
32-0.034489-0.31420.377074
330.0903690.82330.206348
34-0.124282-1.13230.130392
35-0.013245-0.12070.452123
360.0389190.35460.361904
37-0.115523-1.05250.147821
38-0.006234-0.05680.477424
390.0199910.18210.427965
400.0545420.49690.310287
410.1558941.42030.079638
420.084220.76730.222546
43-0.017273-0.15740.43767
44-0.097007-0.88380.189684
450.0142420.12980.448537
46-0.10958-0.99830.160513
47-0.051439-0.46860.320281
48-0.020466-0.18650.426272
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229164739shp0sos2m8m3oq0/11vvk1229164646.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229164739shp0sos2m8m3oq0/11vvk1229164646.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229164739shp0sos2m8m3oq0/242qa1229164646.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229164739shp0sos2m8m3oq0/242qa1229164646.ps (open in new window)


 
Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 2 ; par4 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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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