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Partial Autocorrelation function d=1 D=0 EU

*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: Fri, 12 Dec 2008 06:27:42 -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/12/t1229088513rzit2xzkgxpn96h.htm/, Retrieved Fri, 12 Dec 2008 14:28:35 +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/12/t1229088513rzit2xzkgxpn96h.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 «
13807.9 14101.7 16010.3 14633.1 14478.5 15327.3 14179.5 11398.2 16111.5 15887.4 14529.3 13923.1 13960.2 14807.8 17511.5 15845.9 14594.2 17252.2 14832.8 13132.1 17665.9 16913 17318.8 16224.2 15469.6 16557.5 19414.8 17335 16525.2 18160.4 15553.8 15262.2 18581 17564.1 18948.6 17187.8 17564.8 17668.4 20811.7 17257.8 18984.2 20532.6 17082.3 16894.9 20274.9 20078.6 19900.9 17012.2 19642.9 19024 21691 18835.9 19873.4 21468.2 19406.8 18385.3 20739.3 22268.3 21569 17514.8
 
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' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.336637-2.58580.006103
2-0.291218-2.23690.014543
30.1104230.84820.199885
40.0635640.48820.313592
5-0.123693-0.95010.172967
60.2111931.62220.055046
7-0.16151-1.24060.109835
80.0769320.59090.278413
90.1402981.07760.142788
10-0.306925-2.35750.010866
11-0.220035-1.69010.048141
120.7048525.41411e-06
13-0.279093-2.14380.018092
14-0.127751-0.98130.165232
150.0321170.24670.403002
160.0082530.06340.474833
17-0.063746-0.48960.313101
180.1758181.35050.091009
19-0.129557-0.99510.161865
200.0896480.68860.246887
210.0629620.48360.315222
22-0.282823-2.17240.016927
23-0.005773-0.04430.48239
240.4165143.19930.001109
25-0.230096-1.76740.041166
26-0.043729-0.33590.369072
27-0.00558-0.04290.482978
280.031390.24110.405154
29-0.068048-0.52270.301576
300.0988890.75960.225264
31-0.067283-0.51680.303611
320.1269460.97510.166748
33-0.010339-0.07940.468486
34-0.217965-1.67420.04969
350.0183270.14080.444265
360.279252.1450.018042
37-0.11968-0.91930.180846
38-0.067973-0.52210.301773
39-0.032931-0.25290.400594
400.0796750.6120.271446
41-0.050623-0.38880.349396
420.0265220.20370.419636
43-0.02204-0.16930.433074
440.0880410.67630.250759
45-0.040379-0.31020.378767
46-0.082161-0.63110.26521
47-0.024179-0.18570.426649
480.1192570.9160.18169


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.336637-2.58580.006103
2-0.456246-3.50450.00044
3-0.264818-2.03410.023222
4-0.197257-1.51520.067535
5-0.291135-2.23630.014565
60.0473620.36380.358657
7-0.165695-1.27270.104054
80.1066230.8190.208046
90.2891542.2210.0151
10-0.086189-0.6620.255265
11-0.502299-3.85820.000143
120.2934052.25370.013973
13-0.052755-0.40520.343392
140.1762921.35410.090431
15-0.01751-0.13450.446735
16-0.029223-0.22450.411586
17-0.033778-0.25950.398095
18-0.09332-0.71680.238161
190.0899340.69080.246201
200.0636090.48860.313471
21-0.06491-0.49860.309963
22-0.118054-0.90680.184103
230.1473011.13140.131224
24-0.005515-0.04240.483178
250.0638570.49050.312803
26-0.072848-0.55960.288951
27-0.091444-0.70240.242598
280.0572530.43980.330854
29-0.089663-0.68870.246851
30-0.033572-0.25790.398702
31-0.051563-0.39610.346744
32-0.026601-0.20430.419402
330.061270.47060.319823
340.1513271.16240.124884
35-0.096697-0.74270.230292
360.0331170.25440.400045
370.0008730.00670.497337
38-0.058336-0.44810.327866
39-0.008884-0.06820.472914
40-0.079777-0.61280.271188
410.0246250.18910.425314
42-0.038981-0.29940.382837
430.0380520.29230.385548
44-0.04234-0.32520.373083
45-0.054555-0.4190.338352
460.0214190.16450.434942
470.0517590.39760.346193
48-0.125157-0.96130.17015
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/12/t1229088513rzit2xzkgxpn96h/1ekj61229088460.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/12/t1229088513rzit2xzkgxpn96h/1ekj61229088460.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/12/t1229088513rzit2xzkgxpn96h/2ogru1229088460.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/12/t1229088513rzit2xzkgxpn96h/2ogru1229088460.ps (open in new window)


 
Parameters (Session):
par1 = 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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