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ACF d=0,D=0

*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 08:55:59 -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/t12593374264dugmoo3dw0kzs6.htm/, Retrieved Fri, 27 Nov 2009 16:57:09 +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/t12593374264dugmoo3dw0kzs6.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 «
12,6 15,7 13,2 20,3 12,8 8 0,9 3,6 14,1 21,7 24,5 18,9 13,9 11 5,8 15,5 22,4 31,7 30,3 31,4 20,2 19,7 10,8 13,2 15,1 15,6 15,5 12,7 10,9 10 9,1 10,3 16,9 22 27,6 28,9 31 32,9 38,1 28,8 29 21,8 28,8 25,6 28,2 20,2 17,9 16,3 13,2 8,1 4,5 -0,1 0 2,3 2,8 2,9 0,1 3,5 8,6 13,8
 
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
10.8637936.69090
20.6820495.28311e-06
30.4298363.32950.000746
40.3003332.32640.011697
50.212571.64660.052438
60.1832611.41950.08046
70.1184830.91780.181207
80.0286910.22220.412441
9-0.115036-0.89110.188227
10-0.272688-2.11220.019419
11-0.412092-3.19210.001125
12-0.483303-3.74370.000204
13-0.48033-3.72060.00022
14-0.408538-3.16450.00122
15-0.317849-2.4620.008352
16-0.230294-1.78390.039753
17-0.174139-1.34890.091223
18-0.13225-1.02440.154878
19-0.085663-0.66350.254763
20-0.037086-0.28730.387449
210.0280740.21750.414293
220.0664650.51480.30428
230.1234540.95630.171386
240.1446251.12030.133533
250.1766651.36840.088138
260.1531831.18660.12004
270.1183910.91710.181393
280.0469070.36330.358814
29-0.021435-0.1660.434344
30-0.105568-0.81770.208374
31-0.165812-1.28440.101974
32-0.201615-1.56170.061809
33-0.200354-1.55190.062968
34-0.185375-1.43590.078111
35-0.176862-1.370.087901
36-0.189636-1.46890.073539


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8637936.69090
2-0.252458-1.95550.027591
3-0.378563-2.93230.002378
40.4726563.66120.000266
5-0.032357-0.25060.401477
6-0.269341-2.08630.020605
7-0.028711-0.22240.412382
8-0.069919-0.54160.295052
9-0.267378-2.07110.021329
10-0.213916-1.6570.051372
110.0311330.24120.405128
120.0494540.38310.351512
13-0.05777-0.44750.328068
140.1033230.80030.213337
150.0918360.71140.23981
160.0094930.07350.470815
170.0080460.06230.475256
180.0409960.31760.375963
190.0854170.66160.255368
20-0.196895-1.52510.066239
21-0.049078-0.38020.352585
22-0.091953-0.71230.23953
230.096640.74860.228522
24-0.090003-0.69720.244199
25-0.04085-0.31640.376391
260.0089980.06970.472332
27-0.06421-0.49740.310375
28-0.021601-0.16730.433841
29-0.10485-0.81220.209953
30-0.147443-1.14210.128977
310.0624360.48360.315206
320.0918320.71130.239819
33-0.105297-0.81560.208971
34-0.021445-0.16610.434314
350.0633420.49060.312734
36-0.046702-0.36180.359404
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593374264dugmoo3dw0kzs6/1o27y1259337358.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593374264dugmoo3dw0kzs6/1o27y1259337358.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/27/t12593374264dugmoo3dw0kzs6/2gihu1259337358.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593374264dugmoo3dw0kzs6/2gihu1259337358.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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