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BBWS8-ACF1

*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 08:24:25 -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/t1259421965t11nhy6o1ayh34e.htm/, Retrieved Sat, 28 Nov 2009 16:26:07 +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/t1259421965t11nhy6o1ayh34e.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:
d=D=0 Lambda=1
 
Dataseries X:
» Textbox « » Textfile « » CSV «
3922 3759 4138 4634 3996 4308 4143 4429 5219 4929 5755 5592 4163 4962 5208 4755 4491 5732 5731 5040 6102 4904 5369 5578 4619 4731 5011 5299 4146 4625 4736 4219 5116 4205 4121 5103 4300 4578 3809 5526 4247 3830 4394 4826 4409 4569 4106 4794 3914 3793 4405 4022 4100 4788 3163 3585 3903 4178 3863 4187
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3754612.90830.002544
20.3526162.73140.004135
30.4856993.76220.000192
40.3414622.6450.005207
50.2657752.05870.021937
60.2265051.75450.042225
70.2466521.91060.030422
80.1854691.43660.078007
90.1688191.30770.097988
100.1706141.32160.095665
11-0.043803-0.33930.367785
120.1782881.3810.086198
130.0463580.35910.360394
14-0.030105-0.23320.408202
15-0.038308-0.29670.383848
16-0.070011-0.54230.294811
17-0.054243-0.42020.337934
18-0.089616-0.69420.245129
19-0.146969-1.13840.129736
20-0.148242-1.14830.127706
21-0.055306-0.42840.334949
22-0.090389-0.70010.243271
23-0.181897-1.4090.082003
24-0.077064-0.59690.276399
25-0.073351-0.56820.286019
26-0.111902-0.86680.194754
27-0.137183-1.06260.146107
28-0.160415-1.24260.10943
29-0.119576-0.92620.179019
30-0.130763-1.01290.157591
31-0.246998-1.91320.030246
32-0.209881-1.62570.054624
33-0.141358-1.0950.138957
34-0.202273-1.56680.06121
35-0.226482-1.75430.04224
36-0.156064-1.20890.115728


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3754612.90830.002544
20.2463771.90840.030562
30.3636452.81680.003278
40.0862890.66840.253223
5-0.011445-0.08870.464827
6-0.08485-0.65720.256769
70.0371520.28780.387255
80.0047480.03680.485391
90.039210.30370.381195
100.0194190.15040.44047
11-0.265537-2.05680.022029
120.1715661.32890.094448
13-0.072389-0.56070.288538
140.0141310.10950.456603
15-0.154552-1.19720.117977
16-0.079544-0.61610.270065
17-0.002325-0.0180.492846
180.0590490.45740.32452
19-0.076738-0.59440.277237
20-0.083359-0.64570.260469
210.1263950.97910.165743
22-0.029168-0.22590.41101
230.0452880.35080.363483
24-0.052127-0.40380.343907
250.0294220.22790.410249
26-0.028999-0.22460.411518
27-0.042884-0.33220.370457
28-0.105493-0.81710.208539
29-0.007323-0.05670.477477
30-0.025915-0.20070.420792
31-0.203021-1.57260.060536
320.0108660.08420.466603
33-0.026876-0.20820.417898
34-0.014534-0.11260.455371
35-0.061638-0.47740.31739
360.0389140.30140.382066
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259421965t11nhy6o1ayh34e/1wwbf1259421863.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259421965t11nhy6o1ayh34e/1wwbf1259421863.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/28/t1259421965t11nhy6o1ayh34e/2oq4a1259421863.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/28/t1259421965t11nhy6o1ayh34e/2oq4a1259421863.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; 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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Software written by Ed van Stee & Patrick Wessa


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