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shwws8vr1

*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, 27 Nov 2009 12:15:36 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Nov/27/t1259349479nw7e2iccskseqqw.htm/, Retrieved Fri, 27 Nov 2009 20:18:01 +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/2009/Nov/27/t1259349479nw7e2iccskseqqw.htm/},
    year = {2009},
}
@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 = {2009},
    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 «
102.1 102.86 102.99 103.73 105.02 104.43 104.63 104.93 105.87 105.66 106.76 106 107.22 107.33 107.11 108.86 107.72 107.88 108.38 107.72 108.41 109.9 111.45 112.18 113.34 113.46 114.06 115.54 116.39 115.94 116.97 115.94 115.91 116.43 116.26 116.35 117.9 117.7 117.53 117.86 117.65 116.51 115.93 115.31 115
 
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
10.8653654.97111e-05
20.7350424.22258.9e-05
30.5595763.21450.001459
40.388012.22890.016371
50.2366871.35970.091578
60.0934820.5370.29743
7-0.032555-0.1870.426398
8-0.146816-0.84340.20254
9-0.264608-1.52010.06901
10-0.388592-2.23230.016249
11-0.481437-2.76560.004615
12-0.523494-3.00720.002506
13-0.491304-2.82230.004008
14-0.446156-2.5630.007562
15-0.362589-2.08290.022543
16-0.298034-1.71210.048133
17-0.208848-1.19970.119391
18-0.150187-0.86280.197249
19-0.087862-0.50470.308552
20-0.031835-0.18290.428005
210.0295330.16970.433158
220.0962690.5530.291987
230.1227940.70540.242756
240.1324060.76060.226145
250.0977550.56160.289106
260.0669720.38470.351455
270.0410970.23610.407413
280.0202630.11640.454019
29-0.024478-0.14060.444513
30-0.011938-0.06860.472869
31-0.017556-0.10090.46014
32-0.016963-0.09740.461482
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8653654.97111e-05
2-0.055004-0.3160.377006
3-0.255175-1.46590.076074
4-0.106795-0.61350.271879
5-0.010086-0.05790.477074
6-0.084949-0.4880.31439
7-0.086367-0.49610.311543
8-0.088701-0.50950.30688
9-0.164225-0.94340.176166
10-0.209596-1.2040.118571
11-0.054548-0.31340.377993
120.06860.39410.348029
130.1663610.95570.173094
14-0.076373-0.43870.331858
150.0057950.03330.486822
16-0.112802-0.6480.260734
170.0656170.37690.354316
18-0.087991-0.50550.308295
19-0.00561-0.03220.487243
20-0.043549-0.25020.402003
21-0.024455-0.14050.444565
22-0.003629-0.02080.491746
23-0.119261-0.68510.249031
24-0.037157-0.21350.416144
25-0.114163-0.65580.258245
260.0010660.00610.497576
270.0662180.38040.353045
28-0.012261-0.07040.472136
29-0.174517-1.00250.161692
300.1366010.78470.219109
310.0077320.04440.48242
32-0.048363-0.27780.39144
33NANANA
34NANANA
35NANANA
36NANANA
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/27/t1259349479nw7e2iccskseqqw/1hgjm1259349334.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t1259349479nw7e2iccskseqqw/1hgjm1259349334.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/27/t1259349479nw7e2iccskseqqw/2y1kx1259349334.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t1259349479nw7e2iccskseqqw/2y1kx1259349334.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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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Software written by Ed van Stee & Patrick Wessa


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