Home » date » 2009 » Nov » 29 »

WS8 d=1

*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: Sun, 29 Nov 2009 05:13:58 -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/Nov/29/t12594968945sdselzbhuj9ked.htm/, Retrieved Sun, 29 Nov 2009 13:14:56 +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/29/t12594968945sdselzbhuj9ked.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 «
6.3 6.1 6.1 6.3 6.3 6 6.2 6.4 6.8 7.5 7.5 7.6 7.6 7.4 7.3 7.1 6.9 6.8 7.5 7.6 7.8 8 8.1 8.2 8.3 8.2 8 7.9 7.6 7.6 8.3 8.4 8.4 8.4 8.4 8.6 8.9 8.8 8.3 7.5 7.2 7.4 8.8 9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.5 8.2 8.1 7.9 8.6 8.7 8.7 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8 8.2 8.1 8.1 8 7.9 7.9 8 8 7.9 8 7.7 7.2 7.5 7.3 7 7 7 7.2 7.3 7.1 6.8 6.4 6.1 6.5 7.7 7.9 7.5 6.9 6.6 6.9 7.7
 
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
10.3529443.45810.000406
2-0.199805-1.95770.026585
3-0.47784-4.68195e-06
4-0.381284-3.73580.000159
50.0372780.36530.357864
60.3369023.30090.000677
70.1599221.56690.060213
8-0.120491-1.18060.120347
9-0.189022-1.8520.033547
10-0.132033-1.29370.099444
110.0969020.94940.17239
120.4479654.38911.5e-05
130.0982470.96260.169078
14-0.070675-0.69250.245156
15-0.151486-1.48430.070509
16-0.147338-1.44360.076051
17-0.00185-0.01810.492787
180.1306391.280.101815
19-0.011346-0.11120.455857
20-0.102021-0.99960.160009
21-0.072964-0.71490.238203
22-0.03644-0.3570.360922
230.0600040.58790.278983
240.2849022.79150.003166
250.0114210.11190.455565
26-0.071159-0.69720.243676
27-0.101526-0.99470.16118
28-0.081706-0.80060.212683
29-0.004731-0.04640.481562
300.0544340.53330.297516
31-0.015112-0.14810.4413
32-0.081892-0.80240.212159
33-0.019335-0.18940.425073
340.0176870.17330.431393
350.0540810.52990.298706
360.1933931.89490.03056


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3529443.45810.000406
2-0.370532-3.63050.000228
3-0.331567-3.24870.000799
4-0.199063-1.95040.027022
50.0738280.72340.235607
60.0797380.78130.218282
7-0.209957-2.05720.021192
8-0.136216-1.33460.092576
90.0552390.54120.294802
10-0.055416-0.5430.294205
110.0082810.08110.467751
120.4019413.93827.8e-05
13-0.270689-2.65220.004679
140.2503712.45310.007983
150.152611.49530.069062
160.0212320.2080.417825
17-0.015655-0.15340.439207
180.0528550.51790.302868
19-0.062035-0.60780.272372
20-0.036915-0.36170.359188
21-0.099009-0.97010.167221
22-0.005569-0.05460.4783
23-0.071239-0.6980.243433
240.0774790.75910.224814
25-0.105162-1.03040.152711
26-0.004602-0.04510.482065
27-0.00184-0.0180.492828
280.0459460.45020.3268
29-0.080946-0.79310.214835
30-0.070119-0.6870.246863
310.1102141.07990.141453
32-0.131963-1.2930.099563
330.0170760.16730.433739
340.0556580.54530.293395
350.0068790.06740.473201
360.0115490.11320.455071
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/29/t12594968945sdselzbhuj9ked/1puy31259496837.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/29/t12594968945sdselzbhuj9ked/1puy31259496837.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/29/t12594968945sdselzbhuj9ked/2ushc1259496837.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/29/t12594968945sdselzbhuj9ked/2ushc1259496837.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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