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acf

*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, 05 Dec 2008 02:58:14 -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/05/t1228471163ysizf8h6lkapdbs.htm/, Retrieved Fri, 05 Dec 2008 09:59:24 +0000
 
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/05/t1228471163ysizf8h6lkapdbs.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},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
8.4 8.4 8.4 8.6 8.9 8.8 8.3 7.5 7.2 7.5 8.8 9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.6 8.2 8.1 8 8.6 8.7 8.8 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8.1 8.2 8.1 8.1 7.9 7.9 7.9 8 8 7.9 8 7.7 7.2 7.5 7.3 7 7 7 7.2 7.3 7.1 6.8 6.6 6.2 6.2 6.8 6.9
 
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
10.4539673.11220.001578
2-0.042753-0.29310.385367
3-0.40219-2.75730.004137
4-0.542765-3.7210.000265
5-0.233364-1.59990.058165
60.0423530.29040.38641
70.1713731.17490.122982
80.2280511.56340.062329
90.0290460.19910.421511
10-0.03534-0.24230.40481
110.0244170.16740.43389
120.0118310.08110.467849
130.0518150.35520.362005
14-0.01701-0.11660.45383
15-0.095604-0.65540.257695
16-0.106176-0.72790.23514
17-0.129418-0.88720.189733
180.0046930.03220.487235
190.0661660.45360.326097
200.1370520.93960.176118
210.1077720.73880.231836
22-0.011787-0.08080.467969
23-0.050184-0.3440.366175
24-0.082246-0.56380.287769
25-0.003782-0.02590.489711
260.1048140.71860.237983
27-0.035762-0.24520.403696
28-0.09843-0.67480.251554
29-0.153817-1.05450.148519
30-0.092048-0.6310.265533
310.1768611.21250.115691
320.2330651.59780.058393
330.1656011.13530.131002
340.0578230.39640.346797
35-0.16652-1.14160.129701
36-0.268142-1.83830.036172
37-0.152738-1.04710.150201
38-0.011227-0.0770.469489
390.1598251.09570.139395
400.177551.21720.114799
410.1229320.84280.201809
420.0564160.38680.350337
43-0.071017-0.48690.314308
44-0.133685-0.91650.182042
45-0.095241-0.65290.258489
46-0.052179-0.35770.361077
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4539673.11220.001578
2-0.313433-2.14880.018417
3-0.327424-2.24470.014766
4-0.313918-2.15210.018278
50.0892830.61210.271713
6-0.096343-0.66050.25608
7-0.137796-0.94470.174826
80.009480.0650.474229
9-0.153287-1.05090.149344
100.050320.3450.365827
110.1154650.79160.216289
12-0.013279-0.0910.463926
130.0102650.07040.472097
14-0.014993-0.10280.459285
150.0230560.15810.437543
16-0.05947-0.40770.342671
17-0.095657-0.65580.257577
180.0478810.32830.372088
19-0.108221-0.74190.230913
200.0940850.6450.261027
21-0.069372-0.47560.318284
22-0.043134-0.29570.384377
230.0310390.21280.416204
24-0.018705-0.12820.449256
250.1295660.88830.189462
260.0540990.37090.356196
27-0.190977-1.30930.098404
28-0.024988-0.17130.432358
29-0.079623-0.54590.29387
300.060770.41660.339426
310.1097510.75240.227777
32-0.035873-0.24590.403402
33-0.021251-0.14570.442395
340.0634730.43520.332722
350.0705330.48360.315474
36-0.18467-1.2660.10587
370.069020.47320.319138
380.0306460.21010.41725
39-0.013929-0.09550.462165
400.039530.2710.393787
410.0728350.49930.309939
420.0261980.17960.429118
43-0.028378-0.19460.423291
44-0.033096-0.22690.410744
450.050940.34920.364239
46-0.091916-0.63010.265825
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/05/t1228471163ysizf8h6lkapdbs/12x401228471092.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228471163ysizf8h6lkapdbs/12x401228471092.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228471163ysizf8h6lkapdbs/2kqf01228471092.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228471163ysizf8h6lkapdbs/2kqf01228471092.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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