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Paper

*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, 15 Dec 2009 17:52:21 -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/16/t12609247954tod0m0v5ffxozs.htm/, Retrieved Wed, 16 Dec 2009 01:53:18 +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/16/t12609247954tod0m0v5ffxozs.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 «
2.8 2.8 2.2 2.6 2.8 2.5 2.4 2.3 1.9 1.7 2 2.1 1.7 1.8 1.8 1.8 1.3 1.3 1.3 1.2 1.4 2.2 2.9 3.1 3.5 3.6 4.4 4.1 5.1 5.8 5.9 5.4 5.5 4.8 3.2 2.7 2.1 1.9 0.6 0.7 -0.2 -1 -1.7 -0.7 -1 -0.9 0
 
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
10.2850081.66190.052867
20.2954691.72290.046999
30.2460371.43460.080264
40.21841.27350.105743
5-0.188565-1.09950.139635
6-0.036427-0.21240.416531
70.1405290.81940.209128
8-0.122984-0.71710.239102
9-0.159233-0.92850.179851
10-0.276588-1.61280.05802
11-0.128881-0.75150.228761
12-0.468548-2.73210.004955
13-0.288157-1.68020.05104
14-0.154014-0.8980.187737
15-0.017903-0.10440.458737
16-0.122082-0.71190.240705
170.0219050.12770.449559
180.0678210.39550.347487
19-0.034981-0.2040.419795
20-0.059199-0.34520.36604
21-0.034697-0.20230.420437
220.1046470.61020.272896
230.017320.1010.460075
240.026460.15430.439148
250.1314180.76630.224395
260.0571520.33330.370496
27-0.050163-0.29250.385841
28-0.008468-0.04940.480453
290.0387120.22570.411383
30-0.052277-0.30480.381178
31-0.009667-0.05640.47769
320.0505420.29470.385005
330.0114160.06660.473659
34NANANA
35NANANA
36NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2850081.66190.052867
20.233181.35970.091443
30.1323680.77180.222772
40.0868640.50650.307887
5-0.391882-2.2850.014335
6-0.039562-0.23070.409471
70.3262531.90240.032811
8-0.129876-0.75730.227043
9-0.174964-1.02020.157418
10-0.485547-2.83120.003867
110.0100590.05870.476786
120.0083050.04840.480829
13-0.000491-0.00290.498867
140.0617580.36010.360498
150.0048250.02810.488861
160.0054480.03180.487422
17-0.027881-0.16260.435908
18-0.13913-0.81130.211429
190.0662440.38630.350853
20-0.073129-0.42640.336247
21-0.179878-1.04890.150821
22-0.081995-0.47810.317815
230.0123890.07220.471417
24-0.043282-0.25240.401135
250.0935980.54580.294395
26-0.145515-0.84850.20105
270.018650.10870.45702
280.0777740.45350.326536
29-0.055886-0.32590.373261
30-0.071666-0.41790.339331
31-0.091904-0.53590.297762
32-0.021069-0.12290.451474
33-0.033767-0.19690.422542
34NANANA
35NANANA
36NANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/16/t12609247954tod0m0v5ffxozs/1xt7e1260924740.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/16/t12609247954tod0m0v5ffxozs/1xt7e1260924740.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/16/t12609247954tod0m0v5ffxozs/2bvkb1260924740.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/16/t12609247954tod0m0v5ffxozs/2bvkb1260924740.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = White Noise ; 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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