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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 12:35:12 -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/t1259091362jcz12uf44gq1x1a.htm/, Retrieved Tue, 24 Nov 2009 20:36:04 +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/t1259091362jcz12uf44gq1x1a.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 «
111,4 87,4 96,8 114,1 110,3 103,9 101,6 94,6 95,9 104,7 102,8 98,1 113,9 80,9 95,7 113,2 105,9 108,8 102,3 99 100,7 115,5 100,7 109,9 114,6 85,4 100,5 114,8 116,5 112,9 102 106 105,3 118,8 106,1 109,3 117,2 92,5 104,2 112,5 122,4 113,3 100 110,7 112,8 109,8 117,3 109,1 115,9 96 99,8 116,8 115,7 99,4 94,3 91 93,2 103,1 94,1 91,8 102,7
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4831853.38230.00071
20.569383.98570.000112
30.5953254.16736.2e-05
40.3247082.2730.013725
50.3412192.38850.010406
60.2600381.82030.037414
70.0891590.62410.267724
80.135430.9480.173889
90.0219010.15330.439394
100.0177590.12430.450787
110.0752090.52650.300471
12-0.063253-0.44280.32994
130.0048190.03370.486614
14-0.003045-0.02130.491541
15-0.024305-0.17010.432802
16-0.078157-0.54710.293397
170.0013620.00950.496215
18-0.071051-0.49740.31058
19-0.097173-0.68020.249785
20-0.051341-0.35940.360424
21-0.104001-0.7280.235037
22-0.196613-1.37630.087495
23-0.023425-0.1640.435212
24-0.205677-1.43970.07815
25-0.133703-0.93590.176952
26-0.110286-0.7720.22191
27-0.23232-1.62620.055157
28-0.161503-1.13050.131879
29-0.143937-1.00760.159308
30-0.226929-1.58850.059303
31-0.180646-1.26450.106012
32-0.201785-1.41250.082062
33-0.225362-1.57750.060554
34-0.145059-1.01540.157448
35-0.235224-1.64660.053023
36-0.164422-1.1510.127668


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4831853.38230.00071
20.4382233.06760.001755
30.3698012.58860.006325
4-0.208472-1.45930.075431
5-0.166601-1.16620.124588
6-0.076952-0.53870.296278
7-0.112717-0.7890.216951
80.0475820.33310.37025
9-0.000125-9e-040.499652
100.093830.65680.257189
110.1440791.00860.159071
12-0.111505-0.78050.219416
13-0.08795-0.61570.270487
14-0.052197-0.36540.358201
150.091630.64140.262123
16-0.155957-1.09170.140152
170.0720530.50440.308132
180.0278580.1950.423097
19-0.06205-0.43440.33297
20-0.029581-0.20710.418407
21-0.036314-0.25420.400203
22-0.202746-1.41920.081082
230.20531.43710.078523
24-0.071941-0.50360.308403
250.011670.08170.467613
26-0.067428-0.4720.319512
27-0.066201-0.46340.322563
28-0.161429-1.130.131989
290.0889840.62290.268124
300.0144240.1010.459994
31-0.094848-0.66390.254922
32-0.040466-0.28330.389085
330.0359130.25140.401283
34-0.043447-0.30410.381157
35-0.05134-0.35940.360428
36-0.030857-0.2160.414941
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259091362jcz12uf44gq1x1a/19ig11259091310.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259091362jcz12uf44gq1x1a/19ig11259091310.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/24/t1259091362jcz12uf44gq1x1a/2tm1j1259091310.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/24/t1259091362jcz12uf44gq1x1a/2tm1j1259091310.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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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