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W8 V3

*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 04:55:17 -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/t1259409366k7zewmq6nd35rb2.htm/, Retrieved Sat, 28 Nov 2009 12:56:08 +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/t1259409366k7zewmq6nd35rb2.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 8,1 7,7 7,5 7,6 7,8 7,8 7,8 7,5 7,5 7,1 7,5 7,5 7,6 7,7 7,7 7,9 8,1 8,2 8,2 8,2 7,9 7,3 6,9 6,6 6,7 6,9 7 7,1 7,2 7,1 6,9 7 6,8 6,4 6,7 6,6 6,4 6,3 6,2 6,5 6,8 6,8 6,4 6,1 5,8 6,1 7,2 7,3 6,9 6,1 5,8 6,2 7,1 7,7 7,9 7,7 7,4 7,5 8 8,1
 
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
10.501173.47220.000551
2-0.033256-0.23040.409379
3-0.47765-3.30930.00089
4-0.457987-3.1730.001316
5-0.127514-0.88340.1907
60.2181041.51110.068663
70.2699961.87060.033753
80.1161090.80440.212559
9-0.120274-0.83330.204406
10-0.187277-1.29750.100332
11-0.090936-0.630.265834
12-0.056567-0.39190.348431
130.0443470.30720.379993
140.069570.4820.315999
15-0.000505-0.00350.498611
16-0.120993-0.83830.203019
17-0.165643-1.14760.128409
18-0.050023-0.34660.365215
190.10390.71980.237557
200.2807971.94540.028797
210.2627791.82060.037454
220.0484190.33550.36937
23-0.25535-1.76910.041614
24-0.343753-2.38160.010625
25-0.174027-1.20570.116923
260.0437340.3030.381601
270.1665241.15370.127165
280.1221660.84640.200767
290.0058130.04030.484021
30-0.152831-1.05880.147486
31-0.121498-0.84180.202048
32-0.074837-0.51850.303251
330.0189070.1310.448166
340.0050230.03480.486193
350.0530740.36770.357355
360.043360.30040.382582


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.501173.47220.000551
2-0.379829-2.63150.005698
3-0.412447-2.85750.003148
40.001980.01370.494557
50.1090260.75540.226864
60.027930.19350.423689
7-0.131202-0.9090.183948
8-0.018651-0.12920.448861
9-0.022832-0.15820.437488
100.0277190.1920.42426
110.0119170.08260.467271
12-0.245666-1.7020.04761
130.0768940.53270.298337
140.0808450.56010.289004
15-0.171024-1.18490.120948
16-0.225047-1.55920.062763
17-0.029583-0.2050.419235
180.1884681.30570.098931
19-0.022644-0.15690.437999
200.1029420.71320.239587
210.0338910.23480.407681
22-0.047374-0.32820.372088
23-0.086701-0.60070.275439
24-0.059996-0.41570.339753
250.0260820.18070.428682
26-0.160162-1.10960.136342
27-0.096885-0.67120.252643
28-0.050661-0.3510.363565
290.0305460.21160.416647
30-0.120987-0.83820.20303
31-0.053301-0.36930.35677
32-0.092019-0.63750.263405
33-0.000779-0.00540.497859
34-0.083685-0.57980.282385
350.0012340.00850.496608
36-0.053216-0.36870.356989
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259409366k7zewmq6nd35rb2/1c2k31259409315.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259409366k7zewmq6nd35rb2/1c2k31259409315.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/28/t1259409366k7zewmq6nd35rb2/29woy1259409315.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259409366k7zewmq6nd35rb2/29woy1259409315.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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