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*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Thu, 04 Dec 2008 09:11:33 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/04/t1228407119cc0dadeadlzv4vp.htm/, Retrieved Thu, 04 Dec 2008 16:11:59 +0000
 
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/2008/Dec/04/t1228407119cc0dadeadlzv4vp.htm/},
    year = {2008},
}
@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 = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
100.8 100.7 86.2 83.2 71.7 77.5 89.8 80.3 78.7 93.8 57.6 60.6 91 85.3 77.4 77.3 68.3 69.9 81.7 75.1 69.9 84 54.3 60 89.9 77 85.3 77.6 69.2 75.5 85.7 72.2 79.9 85.3 52.2 61.2 82.4 85.4 78.2 70.2 70.2 69.3 77.5 66.1 69 79.2 56.2 63.3 77.8 92 78.1 65.1 71.1 70.9 72 81.9 70.6 72.5 65.1 61.1
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.165311.14530.128881
20.1771211.22710.112879
30.4657283.22670.001129
40.0426110.29520.384549
50.0931850.64560.260806
60.2116631.46640.074524
7-0.053613-0.37140.355971
8-0.011701-0.08110.467864
90.0572030.39630.346816
10-0.203551-1.41020.082458
11-0.220645-1.52870.066455
12-0.193214-1.33860.093499
13-0.243572-1.68750.048996
14-0.229694-1.59140.059046
15-0.148959-1.0320.153618
16-0.218743-1.51550.068103
17-0.142711-0.98870.163876
180.0721040.49960.309836
19-0.130959-0.90730.184387
200.0019550.01350.494625
210.1431220.99160.163188
22-0.011963-0.08290.467145
230.2873481.99080.026106
240.0515750.35730.361208
250.0607250.42070.337919
260.2530011.75280.043007
270.0745420.51640.303957
280.0232020.16070.436485
290.1784311.23620.111198
300.0446480.30930.379204
310.032720.22670.410813
320.0728450.50470.308045
33-0.088976-0.61640.270258
34-0.129869-0.89980.18637
35-0.112358-0.77840.220065
36-0.083809-0.58060.282097


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.165311.14530.128881
20.1540021.0670.145663
30.437553.03140.001958
4-0.104075-0.72110.237187
5-0.02791-0.19340.423744
60.0130230.09020.464243
7-0.075163-0.52070.30247
8-0.064834-0.44920.32766
9-0.015037-0.10420.45873
10-0.169765-1.17620.122664
11-0.218711-1.51530.068131
12-0.19714-1.36580.089179
13-0.016677-0.11550.45425
14-0.014589-0.10110.459957
150.0556160.38530.350852
16-0.049201-0.34090.367343
170.0317860.22020.413318
180.2506321.73640.044452
190.0105690.07320.470966
200.0745960.51680.303828
210.0289780.20080.420865
22-0.028892-0.20020.421098
230.2385521.65270.052456
24-0.28215-1.95480.028222
25-0.039944-0.27670.391583
26-0.104091-0.72120.237153
27-0.034871-0.24160.405063
28-0.096256-0.66690.254021
290.0163320.11320.45519
300.1083150.75040.228329
310.087590.60680.273408
320.0257590.17850.429556
330.0499050.34580.36552
34-0.065669-0.4550.325592
35-0.058753-0.40710.34289
36-0.033575-0.23260.408526
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/04/t1228407119cc0dadeadlzv4vp/11whg1228407088.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/04/t1228407119cc0dadeadlzv4vp/11whg1228407088.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/04/t1228407119cc0dadeadlzv4vp/2wj7c1228407088.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/04/t1228407119cc0dadeadlzv4vp/2wj7c1228407088.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
 
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 (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='lags',ylab='ACF')
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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