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acf

*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, 07 Dec 2008 13:04:18 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/07/t12286803852a1d5v65c4jckwa.htm/, Retrieved Sun, 07 Dec 2008 20:06:27 +0000
 
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/2008/Dec/07/t12286803852a1d5v65c4jckwa.htm/},
    year = {2008},
}
@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 = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
3595 3914 4159 3676 3794 3446 3504 3958 3353 3480 3098 2944 3389 3497 4404 3849 3734 3060 3507 3287 3215 3764 2734 2837 2766 3851 3289 3848 3348 3682 4058 3655 3811 3341 3032 3475 3353 3186 3902 4164 3499 4145 3796 3711 3949 3740 3243 4407 4814 3908 5250 3937 4004 5560 3922 3759 4138 4634 3996 4308 4142 4429 5219 4929 5754 5592 4163 4962 5208 4755 4491 5732 5730 5024 6056 4901 5353 5578 4618 4724 5011 5298 4143 4617 4736 4214 5112 4197 4119 5104 4194 4583 3790 5557 4304 3838 4277 4951 4479 4677 4274 4782
 
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
1-0.48052-4.82922e-06
2-0.05971-0.60010.274898
30.1595831.60380.055942
4-0.132643-1.3330.092757
50.0091260.09170.463552
60.0678980.68240.248284
7-0.010134-0.10180.459541
8-0.194529-1.9550.026674
90.2477742.49010.007201
10-0.138039-1.38730.084205
11-0.101652-1.02160.154709
120.3282883.29930.00067
13-0.215017-2.16090.016534
140.0613930.6170.269316
150.0768540.77240.220849
16-0.158914-1.59710.056687
170.0413440.41550.339326
180.1172581.17840.120697
19-0.132621-1.33280.092794
20-0.032191-0.32350.373487
210.0910110.91460.181277
22-0.105629-1.06160.145484
230.0596360.59930.275147
240.0959170.9640.168685
25-0.109013-1.09560.137937
260.0517320.51990.302134
270.027230.27370.392453
28-0.115307-1.15880.12463
290.1145371.15110.126208
30-0.019939-0.20040.42079
31-0.161671-1.62480.053664
320.1225381.23150.1105
330.0229640.23080.408973
34-0.004268-0.04290.482936
35-0.096542-0.97020.167123
360.1696261.70470.04566


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.48052-4.82922e-06
2-0.377856-3.79740.000125
3-0.093309-0.93770.175306
4-0.141453-1.42160.079113
5-0.131891-1.32550.094
6-0.0502-0.50450.307503
70.0260530.26180.396993
8-0.25779-2.59080.005496
9-0.020383-0.20480.419054
10-0.10769-1.08230.140855
11-0.243236-2.44450.008119
120.110291.10840.135162
130.0381410.38330.351148
140.1221561.22770.111215
150.1581391.58930.057562
16-0.019991-0.20090.420589
17-0.00788-0.07920.468519
180.080050.80450.211502
19-0.018784-0.18880.425325
200.0032830.0330.486871
21-0.079427-0.79820.213306
22-0.087305-0.87740.191176
23-0.009574-0.09620.461768
24-0.018419-0.18510.426759
250.0174560.17540.430545
260.0230990.23210.408447
27-0.036213-0.36390.358334
28-0.071386-0.71740.237387
290.0237380.23860.405963
30-0.032001-0.32160.374207
31-0.178376-1.79270.038011
32-0.126459-1.27090.103343
33-0.031795-0.31950.374988
340.171021.71870.044363
35-0.097127-0.97610.165669
360.0527960.53060.298434
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t12286803852a1d5v65c4jckwa/18yq91228680257.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t12286803852a1d5v65c4jckwa/18yq91228680257.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t12286803852a1d5v65c4jckwa/2r1p71228680257.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/07/t12286803852a1d5v65c4jckwa/2r1p71228680257.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = -0.1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 36 ; par2 = -0.1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
 
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 (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='lags',ylab='ACF')
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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