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d=1,D=0

*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, 19 Dec 2009 09:12:58 -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/Dec/19/t12612393680wx1rk20oqn7e8d.htm/, Retrieved Sat, 19 Dec 2009 17:16:11 +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/Dec/19/t12612393680wx1rk20oqn7e8d.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 «
12.6 15.7 13.2 20.3 12.8 8 0.9 3.6 14.1 21.7 24.5 18.9 13.9 11 5.8 15.5 22.4 31.7 30.3 31.4 20.2 19.7 10.8 13.2 15.1 15.6 15.5 12.7 10.9 10 9.1 10.3 16.9 22 27.6 28.9 31 32.9 38.1 28.8 29 21.8 28.8 25.6 28.2 20.2 17.9 16.3 13.2 8.1 4.5 -0.1 0 2.3 2.8 2.9 0.1 3.5 8.6 13.8
 
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
10.1684831.29410.100329
20.2481861.90640.030739
3-0.444058-3.41090.000587
4-0.168099-1.29120.100837
5-0.228368-1.75410.042301
60.1143520.87840.191657
70.0957270.73530.232536
80.224851.72710.044691
90.0767310.58940.278929
10-0.055495-0.42630.335733
11-0.258438-1.98510.025894
12-0.282461-2.16960.017038
13-0.259991-1.9970.025221
14-0.078997-0.60680.273161
150.046360.35610.361519
160.1286890.98850.163477
170.0796290.61160.271563
18-0.031325-0.24060.405346
190.0062310.04790.480993
20-0.088165-0.67720.25046
210.1122270.8620.19608
22-0.098118-0.75370.227026
230.1354631.04050.151174
24-0.039335-0.30210.381804
250.2051931.57610.060173
260.0331020.25430.400089
270.1218520.9360.176554
28-0.025975-0.19950.421272
290.0547080.42020.337925
30-0.089463-0.68720.247331
31-0.086599-0.66520.254265
32-0.11943-0.91740.181345
33-0.034673-0.26630.395459
340.0373980.28730.387459
350.0815010.6260.266858
36-0.071301-0.54770.29299


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1684831.29410.100329
20.2262211.73760.043746
3-0.558123-4.2873.4e-05
4-0.054055-0.41520.339748
50.1482541.13880.129702
6-0.050439-0.38740.349916
7-0.013258-0.10180.459617
80.1447781.11210.135311
90.044560.34230.366681
10-0.19545-1.50130.069308
11-0.181451-1.39380.08431
12-0.072745-0.55880.289219
13-0.202359-1.55430.062725
14-0.185479-1.42470.079758
15-0.026771-0.20560.418893
16-0.068146-0.52340.301314
17-0.134838-1.03570.152282
18-0.107613-0.82660.2059
190.2069271.58940.058653
20-0.047012-0.36110.359655
210.0420140.32270.374024
22-0.119288-0.91630.181628
230.0119520.09180.463583
24-0.027243-0.20930.417483
25-0.055134-0.42350.336739
260.010750.08260.467236
27-0.039223-0.30130.38213
280.0235520.18090.42853
290.081550.62640.266736
30-0.102262-0.78550.217655
31-0.157551-1.21020.11552
320.0680170.52240.301658
33-0.006452-0.04960.480321
34-0.090081-0.69190.245849
350.0036320.02790.48892
36-0.179336-1.37750.08678
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/19/t12612393680wx1rk20oqn7e8d/1m1n41261239177.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/19/t12612393680wx1rk20oqn7e8d/1m1n41261239177.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/19/t12612393680wx1rk20oqn7e8d/28e521261239177.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/19/t12612393680wx1rk20oqn7e8d/28e521261239177.ps (open in new window)


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