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ACF 2

*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: Thu, 26 Nov 2009 12:16:30 -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/26/t125926302736ruvxsg23xghj2.htm/, Retrieved Thu, 26 Nov 2009 20:17:10 +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/26/t125926302736ruvxsg23xghj2.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 «
7.2 7.4 8.8 9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.5 8.2 8.1 7.9 8.6 8.7 8.7 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8 8.2 8.1 8.1 8 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 6.4 6.1 6.5 7.7 7.9 7.5 6.9 6.6 6.9 7.7 8 8 7.7 7.3 7.4 8.1 8.3 8.2
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8513046.19760
20.6080354.42662.4e-05
30.4152243.02290.001926
40.3315312.41360.009643
50.348852.53970.007032
60.3781552.7530.004035
70.3470222.52640.007274
80.2422411.76350.041786
90.0965470.70290.242605
10-0.011641-0.08470.466391
11-0.079616-0.57960.282316
12-0.127396-0.92750.178947
13-0.164754-1.19940.117848
14-0.207194-1.50840.068696
15-0.247362-1.80080.038711
16-0.280671-2.04330.023003
17-0.289816-2.10990.019803
18-0.293437-2.13630.018647
19-0.3011-2.1920.016395
20-0.293466-2.13650.018639
21-0.288907-2.10330.020103
22-0.303503-2.20950.01574
23-0.315857-2.29950.012724
24-0.316432-2.30370.012597
25-0.279582-2.03540.023413
26-0.239161-1.74110.043732
27-0.226393-1.64820.052617
28-0.218029-1.58730.0592
29-0.198379-1.44420.077282
30-0.165335-1.20370.117036
31-0.102241-0.74430.229983
32-0.054681-0.39810.346083
33-0.041131-0.29940.382887
34-0.058907-0.42880.334887
35-0.076342-0.55580.290349
36-0.033444-0.24350.404288


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8513046.19760
2-0.423869-3.08580.001612
30.1728731.25850.106857
40.1632561.18850.119963
50.1670731.21630.114628
6-0.059979-0.43670.332067
7-0.092871-0.67610.250954
8-0.106932-0.77850.219875
9-0.11439-0.83280.204355
100.0280840.20450.41939
11-0.166701-1.21360.11514
12-0.101367-0.7380.231896
13-0.031778-0.23130.408967
14-0.038296-0.27880.390743
15-0.010748-0.07820.468964
16-0.048277-0.35150.363317
170.0575560.4190.33845
18-0.085285-0.62090.268667
190.003840.0280.488901
200.0543790.39590.34689
21-0.105553-0.76840.22282
22-0.111286-0.81020.210732
23-0.018467-0.13440.44678
24-0.036668-0.26690.395272
250.0517530.37680.353927
26-0.12111-0.88170.190962
27-0.107831-0.7850.217968
280.0486210.3540.362385
290.0692090.50390.308227
30-0.035603-0.25920.398246
310.0621060.45210.326507
32-0.106304-0.77390.221214
33-0.033096-0.24090.405263
34-0.053276-0.38790.349839
35-0.017532-0.12760.449462
360.1236730.90040.186002
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/26/t125926302736ruvxsg23xghj2/1m9mb1259262988.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t125926302736ruvxsg23xghj2/1m9mb1259262988.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/26/t125926302736ruvxsg23xghj2/2oar91259262988.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/26/t125926302736ruvxsg23xghj2/2oar91259262988.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; 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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