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ACF d=0 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: Sat, 13 Dec 2008 02:29:39 -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/t1229160626drbts52or2ilvvr.htm/, Retrieved Sat, 13 Dec 2008 10:30:26 +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/2008/Dec/13/t1229160626drbts52or2ilvvr.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 «
97.8 107.4 117.5 105.6 97.4 99.5 98 104.3 100.6 101.1 103.9 96.9 95.5 108.4 117 103.8 100.8 110.6 104 112.6 107.3 98.9 109.8 104.9 102.2 123.9 124.9 112.7 121.9 100.6 104.3 120.4 107.5 102.9 125.6 107.5 108.8 128.4 121.1 119.5 128.7 108.7 105.5 119.8 111.3 110.6 120.1 97.5 107.7 127.3 117.2 119.8 116.2 111 112.4 130.6 109.1 118.8 123.9 101.6 112.8 128 129.6 125.8 119.5 115.7 113.6 129.7 112 116.8 127 112.1 114.2 121.1 131.6 125 120.4 117.7 117.5 120.6 127.5 112.3 124.5 115.2
 
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
10.0519540.44080.330322
20.0549790.46650.321129
30.2355171.99840.024724
4-0.03109-0.26380.396342
50.020080.17040.432593
60.2152061.82610.035992
7-0.135017-1.14570.127866
80.0934810.79320.215131
90.2412812.04730.022137
10-0.154771-1.31330.09663
11-0.108411-0.91990.180348
12-0.13759-1.16750.123432
13-0.197828-1.67860.04878
140.0713560.60550.273385
15-0.067591-0.57350.284038
16-0.120953-1.02630.154089
170.1683251.42830.078767
18-0.010456-0.08870.464775
19-0.21703-1.84160.034829
20-0.007498-0.06360.474725
210.0071010.06030.476059
22-0.123649-1.04920.148799
230.1474541.25120.107458
24-0.248789-2.1110.019121
25-0.09443-0.80130.212807
260.0547880.46490.321705
270.0223780.18990.424966
28-0.12716-1.0790.142096
290.0776320.65870.256087
30-0.002124-0.0180.492837
310.0746490.63340.264233
320.0864110.73320.232903
33-0.14639-1.24220.109104
340.03480.29530.384311
350.1438161.22030.113163
360.0350140.29710.383621
370.145691.23620.110196
380.0653250.55430.290546
39-0.037974-0.32220.374109
400.0626240.53140.298395
41-0.050057-0.42470.336145
42-0.150069-1.27340.103489
430.0551450.46790.320628
440.0585020.49640.310561
45-0.109865-0.93220.177165
460.0768430.6520.258227
47-0.074428-0.63150.264842
48-0.130368-1.10620.136159


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0519540.44080.330322
20.0524210.44480.328896
30.2313451.9630.026753
4-0.057476-0.48770.313623
50.0016820.01430.494328
60.1744111.47990.071628
7-0.147571-1.25220.107278
80.0957860.81280.209514
90.1816581.54140.0638
10-0.143677-1.21910.113385
11-0.182767-1.55080.062663
12-0.244979-2.07870.020604
13-0.063777-0.54120.295031
140.1335921.13360.130369
15-0.054291-0.46070.32321
160.0147060.12480.45052
170.1624381.37830.086185
180.0138440.11750.453406
19-0.195376-1.65780.050852
20-0.048854-0.41450.339857
210.2300991.95250.027386
22-0.107919-0.91570.181435
23-0.080513-0.68320.248344
24-0.357341-3.03210.001687
25-0.017171-0.14570.442284
26-0.015313-0.12990.448491
270.2063671.75110.042095
280.089850.76240.224156
290.1288051.09290.139031
300.0307270.26070.397523
31-0.079687-0.67620.25055
320.0094560.08020.468135
33-0.005213-0.04420.482421
340.0433550.36790.357021
35-0.037032-0.31420.37713
36-0.079426-0.6740.25125
370.0198880.16880.433233
38-0.056716-0.48120.3159
39-0.015075-0.12790.449287
400.0588060.4990.309655
410.0692430.58750.279336
420.0192260.16310.435433
43-0.101502-0.86130.195974
44-0.042304-0.3590.360337
45-0.079649-0.67580.250653
460.02940.24950.401855
470.0470720.39940.345384
48-0.188932-1.60310.056641
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229160626drbts52or2ilvvr/11e941229160574.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229160626drbts52or2ilvvr/11e941229160574.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229160626drbts52or2ilvvr/2ipyr1229160574.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229160626drbts52or2ilvvr/2ipyr1229160574.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; 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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