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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: Sun, 20 Dec 2009 05:59:06 -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/20/t1261314005nn789jyxrv6y0ud.htm/, Retrieved Sun, 20 Dec 2009 14:00:08 +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/20/t1261314005nn789jyxrv6y0ud.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 «
97.4 97 105.4 102.7 98.1 104.5 87.4 89.9 109.8 111.7 98.6 96.9 95.1 97 112.7 102.9 97.4 111.4 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 82.6 89.1 104.5
 
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
10.5189254.31052.7e-05
20.6026075.00562e-06
30.6643935.51890
40.4070073.38090.000596
50.4533513.76580.000173
60.3609622.99840.001886
70.1849281.53610.06454
80.2184711.81480.036954
90.0922860.76660.222973
100.0430080.35730.360997
110.0591610.49140.312342
12-0.087063-0.72320.236
130.0028830.02390.490481
14-0.014398-0.11960.452573
15-0.019983-0.1660.434323
16-0.071097-0.59060.278368
17-0.009611-0.07980.468301
18-0.023608-0.19610.422554
19-0.102918-0.85490.197783
20-0.015437-0.12820.449171
21-0.04067-0.33780.368259
22-0.153803-1.27760.102839
230.0188910.15690.437882
24-0.164631-1.36750.087949
25-0.126543-1.05110.14843
26-0.044303-0.3680.356996
27-0.19069-1.5840.058885
28-0.125158-1.03960.151068
29-0.121501-1.00930.158188
30-0.207757-1.72580.044434
31-0.130501-1.0840.141065
32-0.157622-1.30930.097388
33-0.216556-1.79880.038208
34-0.134911-1.12070.13316
35-0.219681-1.82480.036179
36-0.138705-1.15220.126614


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5189254.31052.7e-05
20.456163.78910.00016
30.445193.6980.000216
4-0.163293-1.35640.089695
5-0.122284-1.01580.156644
6-0.141721-1.17720.121576
7-0.208533-1.73220.043853
8-0.04873-0.40480.343445
9-0.017203-0.14290.443395
100.0799820.66440.254331
110.1131060.93950.175367
12-0.084732-0.70380.241951
130.0858240.71290.239153
140.0880670.73150.233464
150.1628481.35270.090281
16-0.249586-2.07320.020944
17-0.077911-0.64720.259832
18-0.027338-0.22710.410514
19-0.173143-1.43820.077444
200.0006570.00550.497831
210.134291.11550.134254
22-0.064302-0.53410.297485
230.1809991.50350.068638
24-0.193623-1.60840.056162
250.0086740.07210.471383
260.036580.30390.381077
270.0329330.27360.392619
28-0.198777-1.65120.051625
29-0.06987-0.58040.281772
30-0.027029-0.22450.411509
31-0.044547-0.370.356244
320.0375210.31170.378115
330.0689350.57260.284382
34-0.018276-0.15180.439891
35-0.039013-0.32410.373433
360.0300010.24920.401971
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/20/t1261314005nn789jyxrv6y0ud/1rg8w1261313944.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/20/t1261314005nn789jyxrv6y0ud/1rg8w1261313944.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/20/t1261314005nn789jyxrv6y0ud/2q4k41261313944.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/20/t1261314005nn789jyxrv6y0ud/2q4k41261313944.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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Software written by Ed van Stee & Patrick Wessa


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