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*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: Tue, 01 Dec 2009 05:43:24 -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/01/t1259671456wsrw9ey7mvn9i3u.htm/, Retrieved Tue, 01 Dec 2009 13:44:19 +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/01/t1259671456wsrw9ey7mvn9i3u.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 «
149 139 135 130 127 122 117 112 113 149 157 157 147 137 132 125 123 117 114 111 112 144 150 149 134 123 116 117 111 105 102 95 93 124 130 124 115 106 105 105 101 95 93 84 87 116 120 117 109 105 107 109 109 108 107 99 103 131 137 135
 
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
10.0166070.11380.454921
20.2662911.82560.037134
30.0432090.29620.384182
40.1015820.69640.2448
5-0.138081-0.94660.174333
6-0.002207-0.01510.493996
70.0811430.55630.290326
8-0.001421-0.00970.496134
90.2179871.49440.070872
100.0040350.02770.489025
110.4147022.84310.003296
12-0.139895-0.95910.171214
130.0319220.21880.41386
140.0075480.05170.479475
150.0306610.21020.417209
16-0.156164-1.07060.144907
170.0681770.46740.321187
18-0.089054-0.61050.272228
19-0.130691-0.8960.187418
200.0083840.05750.477203
21-0.149529-1.02510.155277
220.0585460.40140.344984
23-0.142342-0.97580.167069
24-0.058676-0.40230.344656
25-0.057339-0.39310.348013
26-0.01203-0.08250.467309
27-0.165011-1.13130.131842
28-0.112252-0.76960.222706
29-0.099633-0.68310.248964
30-0.106429-0.72960.234616
31-0.000463-0.00320.49874
32-0.063981-0.43860.33147
330.0010570.00720.497124
34-0.030715-0.21060.417067
35-0.033995-0.23310.408365
36-0.026308-0.18040.428823


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0166070.11380.454921
20.2660891.82420.03724
30.0382630.26230.397111
40.0324790.22270.412379
5-0.172646-1.18360.121261
6-0.041701-0.28590.388111
70.171271.17420.123122
80.027850.19090.4247
90.2028141.39040.085475
10-0.050424-0.34570.365558
110.3316642.27380.013795
12-0.183461-1.25770.107348
13-0.195003-1.33690.093849
140.1247130.8550.198447
150.0379680.26030.397886
16-0.068554-0.470.320272
170.0245930.16860.433416
18-0.235033-1.61130.056905
19-0.116607-0.79940.214035
20-0.037446-0.25670.39926
21-0.105234-0.72140.237104
220.0464840.31870.37569
23-0.001419-0.00970.49614
24-0.115233-0.790.216749
25-0.048226-0.33060.371201
26-0.045107-0.30920.379253
270.0255510.17520.430849
28-0.171397-1.1750.122949
290.0421440.28890.386955
300.1463381.00320.160441
31-0.029272-0.20070.420909
320.045210.30990.378988
33-0.064658-0.44330.329802
34-0.008675-0.05950.476414
350.1236330.84760.200483
36-0.022981-0.15760.437743
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/01/t1259671456wsrw9ey7mvn9i3u/19ak01259671403.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/01/t1259671456wsrw9ey7mvn9i3u/19ak01259671403.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/01/t1259671456wsrw9ey7mvn9i3u/2a0ev1259671403.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/01/t1259671456wsrw9ey7mvn9i3u/2a0ev1259671403.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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