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WS8 Identifying Integration Processes

*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: Fri, 27 Nov 2009 09:37:04 -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/27/t12593398705fmpszzsbbbh603.htm/, Retrieved Fri, 27 Nov 2009 17:37:52 +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/27/t12593398705fmpszzsbbbh603.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 «
10.1 9.9 9.8 9.8 9.7 9.5 9.3 9.1 9.0 9.5 10.0 10.2 10.1 10.0 9.9 10.0 9.9 9.7 9.5 9.2 9.0 9.3 9.8 9.8 9.6 9.4 9.3 9.2 9.2 9.0 8.8 8.7 8.7 9.1 9.7 9.8 9.6 9.4 9.4 9.5 9.4 9.3 9.2 9.0 8.9 9.2 9.8 9.9 9.6 9.2 9.1 9.1 9.0 8.9 8.7 8.5 8.3 8.5 8.7 8.4 8.1 7.8 7.7 7.5 7.2 6.8 6.7 6.4 6.3 6.8 7.3 7.1 7.0 6.8 6.6 6.3 6.1 6.1 6.3 6.3 6.0 6.2 6.4 6.8 7.5 7.5 7.6 7.6 7.4 7.3 7.1 6.9 6.8 7.5 7.6 7.8 8.0 8.1 8.2 8.3 8.2 8.0 7.9 7.6 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 8.0 8.2 8.1 8.1 8.0 7.9 7.9 8.0 8.0 7.9 8.0 7.7 7.2 7.5 7.3 7.0 7.0 7.0 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 8.0 8.0 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
10.93550612.12550
20.81127610.51530
30.6960659.0220
40.6334858.21090
50.6205728.04350
60.6212418.05220
70.5972047.74060
80.5307636.87950
90.4328385.61020
100.3278264.24911.8e-05
110.2371943.07440.001231
120.1728722.24070.013179
130.1377761.78580.037969
140.1097971.42310.078277
150.0697810.90450.183523
160.0151560.19640.422248
17-0.044398-0.57550.282874
18-0.100645-1.30450.096923
19-0.152019-1.97040.025218
20-0.188451-2.44260.007809
21-0.21916-2.84060.00253
22-0.247713-3.21070.000793
23-0.273612-3.54640.000253
24-0.293598-3.80559.9e-05
25-0.302511-3.9216.4e-05
26-0.309664-4.01374.5e-05
27-0.318716-4.1312.8e-05
28-0.326413-4.23081.9e-05
29-0.322131-4.17532.4e-05
30-0.298402-3.86777.8e-05
31-0.251473-3.25950.000676
32-0.212314-2.75190.003288
33-0.202372-2.6230.004758
34-0.2244-2.90860.002061
35-0.255496-3.31160.000568
36-0.260936-3.38210.000447


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.93550612.12550
2-0.511874-6.63460
30.2983493.86717.9e-05
40.2525443.27330.000645
50.0535580.69420.24426
6-0.071613-0.92820.177316
7-0.108804-1.41030.080155
8-0.129832-1.68280.047134
9-0.100703-1.30530.096795
10-0.111025-1.4390.075999
11-0.092383-1.19740.116414
12-0.009886-0.12810.449098
130.0860231.1150.133224
14-0.103632-1.34320.090505
15-0.017162-0.22240.412119
160.0546630.70850.239805
170.0133840.17350.431242
18-0.081291-1.05370.146777
19-0.107386-1.39190.082898
200.0837261.08520.139691
21-0.14796-1.91780.028418
22-0.018992-0.24620.402928
230.0087830.11380.454751
240.0256460.33240.369999
250.0816471.05830.145728
26-0.116228-1.50650.066909
270.0096320.12480.450396
280.0751410.97390.165743
290.1012391.31220.095621
300.0321590.41680.338669
310.1065191.38060.084611
32-0.194301-2.51840.006362
33-0.117392-1.52160.064998
34-0.120205-1.5580.060554
35-0.036147-0.46850.320009
360.1014931.31550.095067
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593398705fmpszzsbbbh603/14u491259339823.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593398705fmpszzsbbbh603/14u491259339823.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/27/t12593398705fmpszzsbbbh603/2h7za1259339823.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/27/t12593398705fmpszzsbbbh603/2h7za1259339823.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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