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(P)ACF Mannen (d=1 & D=1)

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Tue, 23 Dec 2008 13:51:08 -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/23/t12300655202oblbuqaxj5ruot.htm/, Retrieved Tue, 23 Dec 2008 21:52:00 +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/23/t12300655202oblbuqaxj5ruot.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 «
54156 53661 52441 50648 48141 46127 45623 56527 60205 61321 58088 54623 53495 51824 50518 49050 47111 45264 44357 54862 57871 59070 56273 52837 51702 49447 48965 46922 46256 45200 44471 53119 55016 56641 51847 47990 45744 46390 44461 41582 40813 38096 35461 44375 46255 45610 43375 40167 40628 40590 39473 36735 36634 32806 32907 41076 42254 43215 41116 40373
 
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
1-0.160095-1.09760.138995
20.1591271.09090.140435
3-0.025674-0.1760.430519
40.092620.6350.264263
5-0.122456-0.83950.202714
6-0.021384-0.14660.442038
70.0986660.67640.251046
8-0.032404-0.22210.41258
90.0722540.49530.311332
10-0.088187-0.60460.274184
110.4322292.96320.002383
12-0.279691-1.91750.030634
130.0482730.33090.371078
14-0.078069-0.53520.297512
15-0.066309-0.45460.325748
16-0.250069-1.71440.046523
17-0.003947-0.02710.489265
18-0.043825-0.30040.38258
19-0.071258-0.48850.313727
200.0286340.19630.422609
210.0025850.01770.492969
220.1677161.14980.128021
23-0.16542-1.13410.13126
240.0089640.06150.475629
25-0.040345-0.27660.391655
260.0212320.14560.442446
27-0.107553-0.73730.232288
28-0.025891-0.17750.429939
290.0170960.11720.453598
300.0038460.02640.489539
310.0814720.55850.289562
320.0265490.1820.42818
33-0.005173-0.03550.485929
34-0.05789-0.39690.346629
35-0.031263-0.21430.415608
360.0112230.07690.469498
37-0.005662-0.03880.484599
380.0072790.04990.480207
39-0.037252-0.25540.39977
40-0.005412-0.03710.485279
41-0.04777-0.32750.372374
420.025750.17650.430318
430.0280970.19260.424041
44-0.015686-0.10750.457411
45-0.005361-0.03680.485419
46-0.039565-0.27120.393695
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.160095-1.09760.138995
20.1370080.93930.176195
30.0190830.13080.448235
40.0730750.5010.309364
5-0.104079-0.71350.239524
6-0.079727-0.54660.293626
70.12350.84670.200734
80.0097830.06710.473407
90.0583850.40030.345386
10-0.084508-0.57940.282557
110.3995732.73930.004336
12-0.179934-1.23360.111749
13-0.133453-0.91490.182456
14-0.031687-0.21720.414483
15-0.14485-0.9930.162888
16-0.191128-1.31030.09823
17-0.039147-0.26840.394792
18-0.093687-0.64230.261903
19-0.03588-0.2460.403384
200.0175170.12010.452463
210.0636390.43630.332314
220.0165240.11330.455145
230.0677390.46440.322255
24-0.0497-0.34070.367415
25-0.002705-0.01850.49264
260.1305830.89520.187613
270.0496830.34060.367458
28-0.201769-1.38330.086561
290.0051320.03520.486042
300.022940.15730.437853
31-0.00854-0.05850.476781
32-0.051994-0.35650.361549
33-0.183001-1.25460.107915
34-0.050515-0.34630.365326
35-0.003984-0.02730.489162
360.0349730.23980.405778
37-0.022066-0.15130.440203
380.0868480.59540.277217
390.0397710.27270.393155
40-0.103037-0.70640.241717
41-0.038335-0.26280.396923
420.0204260.140.444615
430.0098670.06760.473177
440.0165330.11330.455119
45-0.017104-0.11730.453577
46-0.039995-0.27420.392571
47NANANA
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/23/t12300655202oblbuqaxj5ruot/1mzrn1230065462.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/23/t12300655202oblbuqaxj5ruot/1mzrn1230065462.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/23/t12300655202oblbuqaxj5ruot/23g1r1230065462.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/23/t12300655202oblbuqaxj5ruot/23g1r1230065462.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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