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WS8(3)

*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 03:38:53 -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/t1259319019gejazh1fikv33ji.htm/, Retrieved Fri, 27 Nov 2009 11:50:21 +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/t1259319019gejazh1fikv33ji.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 «
10.9 10 9.2 9.2 9.5 9.6 9.5 9.1 8.9 9 10.1 10.3 10.2 9.6 9.2 9.3 9.4 9.4 9.2 9 9 9 9.8 10 9.8 9.3 9 9 9.1 9.1 9.1 9.2 8.8 8.3 8.4 8.1 7.7 7.9 7.9 8 7.9 7.6 7.1 6.8 6.5 6.9 8.2 8.7 8.3 7.9 7.5 7.8 8.3 8.4 8.2 7.7 7.2 7.3 8.1 8.5
 
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
10.6128114.20125.9e-05
2-0.003271-0.02240.491102
3-0.491233-3.36770.00076
4-0.554612-3.80220.000206
5-0.258447-1.77180.041453
60.1640181.12440.133267
70.3853052.64150.005586
80.3931082.6950.004866
90.1781291.22120.114053
10-0.131512-0.90160.185934
11-0.376879-2.58380.006471
12-0.45052-3.08860.001686
13-0.298281-2.04490.023243
140.0055020.03770.485035
150.1923371.31860.096847
160.2165131.48430.072198
170.1090440.74760.229222
18-0.082454-0.56530.287287
19-0.185346-1.27070.10505
20-0.154149-1.05680.148005
21-0.079913-0.54790.293192
220.0263890.18090.428608
230.073420.50330.308538
240.0608120.41690.339323
250.0557370.38210.352051
260.0778660.53380.29799
270.0265120.18180.428278
28-0.045167-0.30970.379098
29-0.115994-0.79520.215244
30-0.103075-0.70660.241638
310.0246040.16870.433388
320.1182550.81070.210807
330.1340740.91920.181352
340.0584150.40050.345312
35-0.036518-0.25040.401703
36-0.054044-0.37050.356335


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.6128114.20125.9e-05
2-0.606615-4.15876.7e-05
3-0.294605-2.01970.024568
40.0575590.39460.34746
50.0415970.28520.388381
60.08820.60470.274153
7-0.053854-0.36920.356817
80.2133391.46260.075119
9-0.002168-0.01490.494102
10-0.14348-0.98370.165162
11-0.127254-0.87240.193711
12-0.19054-1.30630.098908
13-0.057474-0.3940.347673
14-0.051192-0.3510.363596
15-0.276061-1.89260.032291
16-0.015556-0.10660.457763
170.0683180.46840.320845
18-0.122606-0.84050.20243
190.0632070.43330.333382
200.0594140.40730.34281
21-0.073112-0.50120.309274
22-0.018573-0.12730.449612
23-0.173639-1.19040.119932
24-0.08634-0.59190.278372
25-0.000835-0.00570.497728
260.0302410.20730.418327
27-0.224337-1.5380.06538
28-0.127475-0.87390.193301
290.031980.21920.413705
30-0.028716-0.19690.42239
310.0292750.20070.420899
32-0.112709-0.77270.221786
330.0075380.05170.479503
34-0.075012-0.51430.304742
35-0.02797-0.19180.42438
360.0072070.04940.4804
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/27/t1259319019gejazh1fikv33ji/1mrpc1259318331.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t1259319019gejazh1fikv33ji/1mrpc1259318331.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/27/t1259319019gejazh1fikv33ji/28qf01259318331.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t1259319019gejazh1fikv33ji/28qf01259318331.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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