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Workshop 8 part 4

*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, 28 Nov 2009 04:04:21 -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/28/t1259406320h4kdhywgnrjyiqg.htm/, Retrieved Sat, 28 Nov 2009 12:05:22 +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/28/t1259406320h4kdhywgnrjyiqg.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:
WS8 part 4
 
Dataseries X:
» Textbox « » Textfile « » CSV «
5.7 6.1 6 5.9 5.8 5.7 5.6 5.4 5.4 5.5 5.6 5.7 5.9 6.1 6 5.8 5.8 5.7 5.5 5.3 5.2 5.2 5 5.1 5.1 5.2 4.9 4.8 4.5 4.5 4.4 4.4 4.2 4.1 3.9 3.8 3.9 4.2 4.1 3.8 3.6 3.7 3.5 3.4 3.1 3.1 3.1 3.2 3.3 3.5 3.6 3.5 3.3 3.2 3.1 3.2 3 3 3.1 3.4
 
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
10.120.82270.207423
20.010.06860.472817
3-0.07-0.47990.316764
40.342.33090.012049
50.030.20570.418969
6-0.02-0.13710.445764
70.130.89120.188672
80.050.34280.366645
90.231.57680.060775
100.140.95980.171036
110.130.89120.188672
12-0.22-1.50820.069093
130.10.68560.248177
140.090.6170.270103
15000.5
16-0.17-1.16550.124857
170.030.20570.418969
180.030.20570.418969
19-0.04-0.27420.392556
200.050.34280.366645
210.10.68560.248177
22-0.05-0.34280.366645
23-0.17-1.16550.124857
24-0.09-0.6170.270103
25-0.06-0.41130.341347
26-0.12-0.82270.207423
27-0.06-0.41130.341347
28-0.05-0.34280.366645
29-0.02-0.13710.445764
30-0.08-0.54850.292989
31-0.03-0.20570.418969
32-0.09-0.6170.270103
33-0.17-1.16550.124857
34-0.11-0.75410.227269
35-0.05-0.34280.366645
36-0.05-0.34280.366645


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.120.82270.207423
2-0.004464-0.03060.487857
3-0.071704-0.49160.312654
40.3640722.4960.008064
5-0.073008-0.50050.309522
6-0.031063-0.2130.416139
70.2416861.65690.052099
8-0.171731-1.17730.122496
90.3210142.20080.016351
100.153431.05190.14912
11-0.129091-0.8850.19033
12-0.117475-0.80540.212331
130.0702210.48140.31623
14-0.085852-0.58860.279483
15-0.069259-0.47480.318559
16-0.032508-0.22290.412303
17-0.070585-0.48390.31535
18-0.12026-0.82450.206922
190.0357850.24530.403634
200.0765950.52510.300988
210.1409510.96630.169417
22-0.055822-0.38270.351836
23-0.132878-0.9110.183481
24-0.160194-1.09820.138848
25-0.019348-0.13260.447522
26-0.033926-0.23260.408546
270.0328670.22530.41135
28-0.07637-0.52360.301521
29-0.00368-0.02520.489989
30-0.114981-0.78830.217249
31-0.0239-0.16380.435276
320.0987230.67680.250923
33-0.063371-0.43440.332975
34-0.058837-0.40340.344253
350.0088760.06090.475867
36-0.093398-0.64030.262543
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259406320h4kdhywgnrjyiqg/19itd1259406259.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259406320h4kdhywgnrjyiqg/19itd1259406259.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/28/t1259406320h4kdhywgnrjyiqg/2e51d1259406259.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259406320h4kdhywgnrjyiqg/2e51d1259406259.ps (open in new window)


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