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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: Tue, 24 Nov 2009 06:46:01 -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/24/t1259070393vuo48f3xooooevn.htm/, Retrieved Tue, 24 Nov 2009 14:46:35 +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/24/t1259070393vuo48f3xooooevn.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 «
11 8 6 10 11 10 9 8 11 10 12 13 13 13 13 13 12 13 12 13 12 14 11 12 13 13 12 10 9 10 10 9 7 11 11 12 13 13 12 12 10 12 12 12 10 13 13 11 13 12 11 12 12 11 10 9 10 9 6 7 5 8 5 5 5 1 3 5 7 2 3
 
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
10.7922336.67550
20.6805655.73450
30.6529325.50170
40.626875.28211e-06
50.5412424.56061e-05
60.4128013.47830.000433
70.3516022.96270.002074
80.2598462.18950.015924
90.1925831.62270.05454
100.1589511.33930.092365
110.0978160.82420.206289
120.044380.37390.354778
13-0.04114-0.34670.364939
14-0.085373-0.71940.237138
15-0.085309-0.71880.237303
16-0.118855-1.00150.159996
17-0.179882-1.51570.067016
18-0.166056-1.39920.083052
19-0.176657-1.48850.070518
20-0.144488-1.21750.113726
21-0.133737-1.12690.131792
22-0.103073-0.86850.194021
23-0.102987-0.86780.194217
24-0.09987-0.84150.201442
25-0.021877-0.18430.427138
260.0011530.00970.496137
27-0.030866-0.26010.397778
28-0.04151-0.34980.363773
29-0.035382-0.29810.383236
300.0028290.02380.490523
31-0.001751-0.01480.494134
32-0.021578-0.18180.428122
33-0.006332-0.05340.4788
34-0.016934-0.14270.443472
35-0.010741-0.09050.464071
36-0.03203-0.26990.394015


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.7922336.67550
20.142151.19780.117494
30.2132241.79670.038322
40.1030050.86790.194178
5-0.091719-0.77280.221092
6-0.206988-1.74410.042734
7-0.022929-0.19320.423675
8-0.164709-1.38790.084759
90.0041360.03480.48615
100.095840.80760.21102
11-0.024875-0.20960.417291
120.0026820.02260.491018
13-0.140988-1.1880.119398
14-0.076784-0.6470.25986
150.0625890.52740.299784
16-0.020057-0.1690.433138
17-0.078224-0.65910.255972
180.1707451.43870.077311
19-0.093612-0.78880.21643
200.1371541.15570.125843
210.0219030.18460.427051
220.0221560.18670.426218
23-0.074979-0.63180.26478
24-0.007938-0.06690.47343
250.0964070.81230.209655
260.0014420.01220.495169
27-0.145247-1.22390.112523
28-0.033988-0.28640.387709
29-0.050631-0.42660.335472
300.0234160.19730.422074
310.0522490.44030.330543
32-0.041479-0.34950.363872
330.0845810.71270.239186
34-0.065957-0.55580.290059
350.0121150.10210.459491
36-0.112195-0.94540.173837
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259070393vuo48f3xooooevn/13hn01259070359.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259070393vuo48f3xooooevn/13hn01259070359.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/24/t1259070393vuo48f3xooooevn/20pt91259070359.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259070393vuo48f3xooooevn/20pt91259070359.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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