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autocorr inv D

*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: Sun, 21 Dec 2008 09:54:57 -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/21/t1229878924k3aonm3c6a98gqc.htm/, Retrieved Sun, 21 Dec 2008 18:02:05 +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/21/t1229878924k3aonm3c6a98gqc.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 «
93.0 99.2 112.2 112.1 103.3 108.2 90.4 72.8 111.0 117.9 111.3 110.5 94.8 100.4 132.1 114.6 101.9 130.2 84.0 86.4 122.3 120.9 110.2 112.6 102.0 105.0 130.5 115.5 103.7 130.9 89.1 93.8 123.8 111.9 118.3 116.9 103.6 116.6 141.3 107.0 125.2 136.4 91.6 95.3 132.3 130.6 131.9 118.6 114.3 111.3 126.5 112.1 119.3 142.4 101.1 97.4 129.1 136.9 129.8 123.9
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.147728-1.02350.155603
2-0.046091-0.31930.375433
30.2339151.62060.055826
4-0.207868-1.44020.078157
5-0.070696-0.48980.313256
60.1591941.10290.137779
7-0.079212-0.54880.292843
80.0541690.37530.354547
9-0.093284-0.64630.260586
10-0.050927-0.35280.362878
110.0618360.42840.335134
12-0.296725-2.05580.022633
13-0.091649-0.6350.264234
140.0111840.07750.469279
15-0.09141-0.63330.264769
16-0.08642-0.59870.276082
170.2239691.55170.063651
18-0.112673-0.78060.219429
19-0.141141-0.97790.166525
200.0637930.4420.330248
210.1371210.950.173434
22-0.174444-1.20860.116371
230.2183871.5130.068415
240.0368080.2550.399902
25-0.042092-0.29160.385916
260.1396360.96740.169089
270.0261050.18090.428619
280.0549560.38070.352537
290.056940.39450.347482
30-0.079752-0.55250.291572
310.0895580.62050.268941
320.005820.04030.484
33-0.168081-1.16450.124989
340.144541.00140.160826
35-0.101367-0.70230.242945
36-0.106052-0.73470.233034
370.0587170.40680.342981
38-0.04753-0.32930.371681
39-0.052097-0.36090.359864
400.0930670.64480.261067
41-0.062716-0.43450.332932
42-0.025438-0.17620.430424
430.023090.160.436787
44-0.031779-0.22020.413336
450.0110470.07650.469656
460.0042540.02950.488305
47-0.000934-0.00650.497433
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.147728-1.02350.155603
2-0.069429-0.4810.316344
30.2222761.540.065067
4-0.154823-1.07260.144396
5-0.108006-0.74830.228969
60.0864450.59890.276026
70.0259630.17990.429003
80.0603040.41780.338978
9-0.183297-1.26990.105118
10-0.038546-0.26710.395284
110.0552140.38250.351876
12-0.274053-1.89870.031813
13-0.218738-1.51550.068107
14-0.124549-0.86290.196242
150.0577490.40010.345431
16-0.185269-1.28360.102725
170.0926550.64190.261986
18-0.053903-0.37340.355229
19-0.154097-1.06760.145517
20-0.096239-0.66680.254058
210.1788211.23890.110701
22-0.149164-1.03340.153288
230.0640940.44410.329498
24-0.096042-0.66540.254491
250.0117040.08110.467853
260.0349820.24240.404765
270.0074180.05140.479613
280.0103830.07190.471475
290.0787230.54540.293999
30-0.008916-0.06180.475499
31-0.023757-0.16460.434977
32-0.043206-0.29930.382987
33-0.003612-0.0250.490068
34-0.037465-0.25960.398154
350.0010910.00760.496999
36-0.008371-0.0580.476995
37-0.004335-0.030.488083
38-0.077373-0.53610.297198
390.1375040.95270.172768
400.0926650.6420.261964
410.0528130.36590.358023
42-0.080327-0.55650.290219
430.0992920.68790.24741
44-0.036787-0.25490.399957
450.0221790.15370.439261
46-0.090027-0.62370.267879
470.0424860.29440.384878
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/21/t1229878924k3aonm3c6a98gqc/1napv1229878495.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229878924k3aonm3c6a98gqc/1napv1229878495.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229878924k3aonm3c6a98gqc/2w72n1229878495.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229878924k3aonm3c6a98gqc/2w72n1229878495.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; 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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