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PACF d=1 D=1

*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 06:25:56 -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/t1229606798vlyl09co70p2okz.htm/, Retrieved Thu, 18 Dec 2008 14:26:40 +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/t1229606798vlyl09co70p2okz.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 «
7.6 7.7 7.6 8.2 8 8.1 8.3 8.2 8.1 7.7 7.6 7.7 8.2 8.4 8.4 8.6 8.4 8.5 8.7 8.7 8.6 7.4 7.3 7.4 9 9.2 9.2 8.5 8.3 8.3 8.6 8.6 8.5 8.1 8.1 8 8.6 8.7 8.7 8.6 8.4 8.4 8.7 8.7 8.5 8.3 8.3 8.3 8.1 8.2 8.1 8.1 7.9 7.7 8.1 8 7.7 7.8 7.6 7.4 7.7
 
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
10.0010190.00710.497199
2-0.072251-0.50060.30948
3-0.539298-3.73640.000248
4-0.061567-0.42650.335809
50.0106080.07350.470859
60.1628591.12830.132396
7-0.027461-0.19030.424956
80.0401520.27820.391035
90.083660.57960.282444
100.0456610.31640.376554
11-0.019437-0.13470.446719
12-0.212822-1.47450.073442
13-0.022235-0.1540.439109
140.0182090.12620.450068
150.1486711.030.154082
16-0.013868-0.09610.461928
170.0112550.0780.469085
18-0.142772-0.98920.163774
190.0107730.07460.470407
20-0.026885-0.18630.426511
210.2350621.62860.054977
22-0.009255-0.06410.474571
230.0420160.29110.386117
24-0.261542-1.8120.038121
25-0.038883-0.26940.394391
26-0.003955-0.02740.489127
270.1798911.24630.109348
280.0055040.03810.48487
29-0.017446-0.12090.45215
30-0.045298-0.31380.377503
314.8e-053e-040.499867
320.0333420.2310.409147
330.0178830.12390.450958
34-0.037956-0.2630.396852
35-0.028562-0.19790.421987
360.0427280.2960.384243
370.022570.15640.4382
380.0440840.30540.380683
39-0.080527-0.55790.289749
400.0022020.01530.493947
410.0158850.11010.456412
42-0.022453-0.15560.438516
430.0170370.1180.453265
440.0156730.10860.456993
45-0.039349-0.27260.393159
460.0067470.04670.481456
470.0102850.07130.471746
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0010190.00710.497199
2-0.072252-0.50060.309477
3-0.541975-3.75490.000234
4-0.123434-0.85520.198352
5-0.113667-0.78750.217428
6-0.225616-1.56310.062298
7-0.22261-1.54230.064785
8-0.095611-0.66240.255437
90.0448790.31090.378599
10-0.059024-0.40890.342204
110.006250.04330.482822
12-0.137988-0.9560.171929
13-0.010488-0.07270.471187
14-0.018535-0.12840.449178
15-0.061452-0.42580.336096
16-0.071977-0.49870.310145
17-0.01713-0.11870.453012
18-0.170694-1.18260.121395
19-0.148899-1.03160.153714
20-0.140419-0.97290.167751
210.1387310.96120.170646
22-0.039343-0.27260.393173
230.039160.27130.393658
24-0.114051-0.79020.216657
25-0.067619-0.46850.320782
26-0.007097-0.04920.480495
27-0.027256-0.18880.425509
28-0.102745-0.71180.240006
29-0.093522-0.64790.260057
30-0.071496-0.49530.311312
31-0.151982-1.0530.148815
32-0.119347-0.82690.206203
330.0798410.55320.291362
34-0.076223-0.52810.299935
35-0.039579-0.27420.39255
36-0.007338-0.05080.479832
37-0.017817-0.12340.451138
380.036150.25050.401652
39-0.002254-0.01560.493803
400.0156520.10840.457048
410.0874270.60570.27378
42-0.170419-1.18070.121771
43-0.007463-0.05170.479489
440.0137240.09510.462324
45-0.030191-0.20920.417602
46-0.00574-0.03980.484223
470.0542760.3760.354273
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229606798vlyl09co70p2okz/1jmkm1229606754.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229606798vlyl09co70p2okz/1jmkm1229606754.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229606798vlyl09co70p2okz/24hh81229606754.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/18/t1229606798vlyl09co70p2okz/24hh81229606754.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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