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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: Mon, 21 Dec 2009 07:28:47 -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/21/t1261407123499fgspgcwypiqk.htm/, Retrieved Mon, 21 Dec 2009 15:52:05 +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/21/t1261407123499fgspgcwypiqk.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 «
2.6 2.4 2.5 2.7 3.2 2.8 2.8 3 3.1 3.1 3 2.4 2.7 3 2.7 2.7 2 2.4 2.6 2.4 2.3 2.4 2.5 2.6 2.6 2.6 2.7 2.8 2.6 2.6 2 2 2.1 1.9 2 2.5 2.9 3.3 3.5 3.8 4.6 4.4 5.3 5.8 5.9 5.6 5.8 5.5 4.6 4.2 4 3.5 2.3 2.2 1.4 0.6 0 0.5 0.1 0.1
 
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
10.2530451.94370.028355
20.2592841.99160.025526
30.3277532.51750.007277
40.3597532.76330.00381
50.0954210.73290.233247
60.0659360.50650.307209
70.0243520.1870.426132
8-0.062209-0.47780.317266
9-0.16776-1.28860.101285
10-0.172787-1.32720.094777
11-0.052901-0.40630.342981
12-0.447857-3.44010.000537
13-0.224773-1.72650.044744
14-0.072947-0.56030.288694
15-0.083094-0.63830.262887
16-0.236347-1.81540.037271
17-0.033556-0.25770.398749
18-0.04261-0.32730.372302
190.010150.0780.46906
20-0.048376-0.37160.355766
21-0.03903-0.29980.382693
220.0977460.75080.227878
23-0.006-0.04610.481699
24-0.040693-0.31260.377855
250.0911190.69990.243371
26-0.102476-0.78710.217178
27-0.067404-0.51770.303288
28-0.006728-0.05170.479478
29-0.039686-0.30480.380784
30-0.013154-0.1010.45993
31-0.049184-0.37780.353471
320.0237820.18270.427841
330.0434910.33410.369759
340.0137630.10570.458085
35-0.029558-0.2270.41059
360.1241950.9540.171997


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2530451.94370.028355
20.208611.60240.057208
30.2491431.91370.030256
40.2464731.89320.03162
5-0.117316-0.90110.185594
6-0.139176-1.0690.144706
7-0.15935-1.2240.112911
8-0.164219-1.26140.106066
9-0.142627-1.09550.138867
10-0.079569-0.61120.271714
110.1686791.29570.100071
12-0.341662-2.62440.005518
130.0048580.03730.485179
140.1844821.4170.080866
150.1648021.26590.105269
160.032990.25340.40042
170.0062480.0480.480944
18-0.143415-1.10160.137557
19-0.066651-0.5120.305295
20-0.096226-0.73910.231381
21-0.187082-1.4370.078
220.0623140.47860.316981
230.0990720.7610.224848
24-0.183238-1.40750.082266
250.0882760.67810.250192
26-0.144625-1.11090.135562
270.085910.65990.255948
280.0116730.08970.464428
290.0077890.05980.476248
300.0960740.7380.231733
31-0.020709-0.15910.437079
320.0519350.39890.345697
33-0.118491-0.91010.183224
340.0192990.14820.44133
35-0.020876-0.16040.436575
36-0.067302-0.5170.303559
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/21/t1261407123499fgspgcwypiqk/1tq1q1261405724.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/21/t1261407123499fgspgcwypiqk/1tq1q1261405724.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/21/t1261407123499fgspgcwypiqk/29nbn1261405724.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/21/t1261407123499fgspgcwypiqk/29nbn1261405724.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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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