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Paper ACF d=D=0 lambda = 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: Thu, 17 Dec 2009 10:07:25 -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/17/t12610697373kxboquj0qo6713.htm/, Retrieved Thu, 17 Dec 2009 18:08:59 +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/17/t12610697373kxboquj0qo6713.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 «
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 8 8 7.7 7.3 7.4
 
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
10.8536747.29380
20.6060815.17841e-06
30.4328593.69830.000209
40.4321433.69220.000213
50.5554254.74565e-06
60.6501995.55530
70.6073855.18951e-06
80.4757164.06456e-05
90.3656243.12390.00128
100.3496052.9870.001917
110.4058593.46770.000442
120.4497413.84260.000129
130.3657393.12490.001276
140.2590522.21330.015
150.1723881.47290.072541
160.1351641.15480.125961
170.1317161.12540.132057
180.1157590.9890.162953
190.0589460.50360.308016
20-0.010438-0.08920.464591
21-0.058891-0.50320.308182
22-0.076562-0.65410.257538
23-0.068804-0.58790.279219
24-0.064115-0.54780.29275
25-0.118654-1.01380.157018
26-0.157158-1.34280.091755
27-0.177937-1.52030.066379
28-0.17679-1.51050.067617
29-0.166574-1.42320.079467
30-0.175005-1.49520.069581
31-0.21772-1.86020.033443
32-0.268286-2.29220.012388
33-0.292779-2.50150.007304
34-0.281843-2.40810.009282
35-0.24784-2.11750.01881
36-0.225625-1.92770.028889


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8536747.29380
2-0.452283-3.86430.00012
30.3131162.67530.004606
40.3920443.34960.000642
50.2214721.89230.031211
6-0.060863-0.520.302314
7-0.134399-1.14830.127296
80.1080630.92330.179449
90.0657370.56170.288036
10-0.018226-0.15570.438339
11-0.043409-0.37090.355897
12-0.016852-0.1440.442956
13-0.370513-3.16570.001129
140.3888673.32250.000698
15-0.334888-2.86130.00275
16-0.179096-1.53020.065145
17-0.072149-0.61640.269761
180.0608630.520.302312
19-0.086213-0.73660.231861
20-0.143355-1.22480.11229
210.0365070.31190.377996
22-0.025199-0.21530.415066
230.1242451.06150.14597
24-0.047277-0.40390.343722
25-0.040682-0.34760.364575
260.0760150.64950.259035
270.1451031.23980.109517
280.0068770.05880.476653
29-0.045482-0.38860.349351
30-0.027669-0.23640.406891
31-0.031792-0.27160.393337
320.0005920.00510.497989
33-0.017263-0.14750.441575
34-0.047336-0.40440.343536
35-0.132084-1.12850.131396
360.0222560.19020.424858
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/17/t12610697373kxboquj0qo6713/1m42f1261069644.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/17/t12610697373kxboquj0qo6713/1m42f1261069644.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/17/t12610697373kxboquj0qo6713/29qr81261069644.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/17/t12610697373kxboquj0qo6713/29qr81261069644.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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