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workshop 8

*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 01:53:19 -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/t12593121477lrf7jg820q19a2.htm/, Retrieved Fri, 27 Nov 2009 09:55:49 +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/t12593121477lrf7jg820q19a2.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 «
8,6 8,5 8,3 7,8 7,8 8 8,6 8,9 8,9 8,6 8,3 8,3 8,3 8,4 8,5 8,4 8,6 8,5 8,5 8,4 8,5 8,5 8,5 8,5 8,5 8,5 8,5 8,5 8,6 8,4 8,1 8 8 8 8 7,9 7,8 7,8 7,9 8,1 8 7,6 7,3 7 6,8 7 7,1 7,2 7,1 6,9 6,7 6,7 6,6 6,9 7,3 7,5 7,3 7,1 6,9 7,1
 
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
10.5677583.89240.000156
2-0.048973-0.33570.36928
3-0.49388-3.38590.000721
4-0.530444-3.63650.000342
5-0.226428-1.55230.063648
60.1326860.90970.183824
70.2465991.69060.048768
80.2129731.46010.075462
90.0320690.21990.413468
10-0.075326-0.51640.303994
11-0.054115-0.3710.356154
12-0.054121-0.3710.35614
13-0.057064-0.39120.348705
140.0165690.11360.455022
150.0077510.05310.478925
160.0472410.32390.373737
170.0437760.30010.382708
18-0.014919-0.10230.459485
19-0.09803-0.67210.252419
20-0.073881-0.50650.307437
21-0.049079-0.33650.369008
220.0001390.0010.499622
23-0.003066-0.0210.491661
240.0058730.04030.484028
250.0210780.14450.44286
260.0212030.14540.442524
27-0.067522-0.46290.322784
28-0.144626-0.99150.163258
29-0.154098-1.05640.148084
30-0.044037-0.30190.38203
310.1611411.10470.13745
320.2957492.02760.024149
330.2132911.46220.075164
34-0.035246-0.24160.405058
35-0.30513-2.09190.02094
36-0.384911-2.63880.005625


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5677583.89240.000156
2-0.547955-3.75660.000237
3-0.294683-2.02020.024539
4-0.053076-0.36390.358794
50.0303110.20780.418142
6-0.019409-0.13310.447358
7-0.172605-1.18330.121316
80.1248490.85590.198193
9-0.092121-0.63150.26537
100.074730.51230.305412
110.0734230.50340.30853
12-0.161102-1.10450.137508
130.0081190.05570.477924
140.1517541.04040.151744
15-0.144565-0.99110.16336
160.0796970.54640.293697
17-0.037441-0.25670.399271
18-0.039542-0.27110.393756
19-0.119974-0.82250.207472
200.128490.88090.191432
21-0.111557-0.76480.224107
22-0.156389-1.07220.144563
230.0257860.17680.430221
240.0279460.19160.424446
25-0.087694-0.60120.275297
26-0.02356-0.16150.436189
27-0.179114-1.22790.112792
28-0.172938-1.18560.12087
290.0436480.29920.383039
300.0045610.03130.487595
310.047560.32610.372916
320.0299370.20520.419136
330.0391210.26820.39486
34-0.169143-1.15960.126037
35-0.075531-0.51780.303509
36-0.059967-0.41110.341429
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593121477lrf7jg820q19a2/16axk1259311998.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593121477lrf7jg820q19a2/16axk1259311998.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/27/t12593121477lrf7jg820q19a2/2cxnz1259311998.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593121477lrf7jg820q19a2/2cxnz1259311998.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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Software written by Ed van Stee & Patrick Wessa


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