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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, 15 Dec 2009 10:22:50 -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/15/t1260897864hqphq4o5dy235bl.htm/, Retrieved Tue, 15 Dec 2009 18:24:27 +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/15/t1260897864hqphq4o5dy235bl.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 «
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 8.1 8.3 8.2
 
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
10.2165741.46890.074336
2-0.24387-1.6540.052468
3-0.412884-2.80030.00372
4-0.410705-2.78550.003868
5-0.056721-0.38470.351117
60.1748941.18620.120819
70.3457352.34490.011702
80.247951.68170.049705
9-0.095436-0.64730.260336
10-0.115635-0.78430.218449
11-0.09758-0.66180.255694
12-0.253661-1.72040.046039
13-0.049011-0.33240.370545
140.1982971.34490.092623
150.1918611.30130.099824
160.0066550.04510.482097
17-0.057888-0.39260.348208
18-0.046172-0.31320.377789
19-0.126676-0.85920.197355
200.0126820.0860.465915
210.1886051.27920.103624
220.0532840.36140.359732
23-0.075989-0.51540.304378
24-0.173672-1.17790.122447
25-0.018644-0.12650.449962
260.1034570.70170.243208
270.0898720.60950.272582
280.0425060.28830.38721
29-0.033977-0.23040.409384
30-0.176964-1.20020.118098
31-0.004435-0.03010.488067
320.0258330.17520.430842
330.0514960.34930.364244
340.0467330.3170.376355
35-8.2e-05-6e-040.499778
360.0347380.23560.407394


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2165741.46890.074336
2-0.305084-2.06920.022087
3-0.321478-2.18040.017191
4-0.409155-2.7750.003976
5-0.202921-1.37630.087699
6-0.244594-1.65890.051969
7-0.036401-0.24690.403048
8-0.025713-0.17440.431161
9-0.136602-0.92650.179516
100.1243970.84370.201601
110.1686641.14390.129284
12-0.185172-1.25590.107747
13-0.033421-0.22670.410842
140.1173090.79560.215166
15-0.025902-0.17570.430661
16-0.209049-1.41780.081488
17-0.020128-0.13650.446005
18-0.014649-0.09940.460643
19-0.146921-0.99650.162118
200.1029810.69850.244205
210.1952881.32450.095939
22-0.014218-0.09640.461799
230.1202490.81560.209474
24-0.037223-0.25250.400906
25-0.027979-0.18980.425165
260.1030110.69870.244144
270.0938660.63660.26376
28-0.24277-1.64650.053234
29-0.034342-0.23290.408428
30-0.029069-0.19720.422288
31-0.017865-0.12120.452045
32-0.162388-1.10140.138233
330.1013020.68710.247745
34-0.051563-0.34970.364073
35-0.046752-0.31710.376307
360.0697940.47340.319097
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/15/t1260897864hqphq4o5dy235bl/15ila1260897768.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/15/t1260897864hqphq4o5dy235bl/15ila1260897768.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/15/t1260897864hqphq4o5dy235bl/2mp8m1260897768.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/15/t1260897864hqphq4o5dy235bl/2mp8m1260897768.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 0.5 ; par3 = 2 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 0.5 ; par3 = 2 ; 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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