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R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Fri, 05 Jun 2009 06:29:37 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Jun/05/t1244205100rr6glztaxg740an.htm/, Retrieved Fri, 05 Jun 2009 14:31:42 +0200
 
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/Jun/05/t1244205100rr6glztaxg740an.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:
Wesley De Bondt
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
Wesley De Bondt
 
Dataseries X:
» Textbox « » Textfile « » CSV «
0,63709 0,64218 0,65711 0,66977 0,68255 0,68902 0,71322 0,70224 0,70045 0,69919 0,69693 0,69763 0,69278 0,70196 0,69215 0,6769 0,67124 0,66533 0,67157 0,66428 0,66576 0,66942 0,68130 0,69144 0,69862 0,695 0,69867 0,68968 0,69233 0,68293 0,68399 0,66895 0,68756 0,68527 0,6776 0,68137 0,67933 0,67922 0,68598 0,68297 0,68935 0,69463 0,6833 0,68666 0,68782 0,67669 0,67511 0,67254 0,67397 0,67286 0,66341 0,668 0,68021 0,67934 0,68136 0,67562 0,6744 0,67766 0,68887 0,69614 0,70896 0,72064 0,74725 0,75094 0,77494 0,79487 0,79209 0,79152 0,79308 0,79279 0,79924 0,78668
 
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
10.9127817.74520
20.8045626.82690
30.6911385.86450
40.5704274.84024e-06
50.4501653.81980.00014
60.3280172.78330.003434
70.2179671.84950.034244
80.1262751.07150.143767
90.0519150.44050.330443
10-0.011095-0.09410.462628
11-0.049122-0.41680.339026
12-0.074198-0.62960.265476
13-0.089311-0.75780.225512
14-0.084907-0.72050.236786
15-0.075024-0.63660.263202
16-0.066395-0.56340.287465
17-0.064775-0.54960.292135
18-0.072091-0.61170.271327
19-0.074197-0.62960.265479
20-0.085533-0.72580.235166
21-0.088037-0.7470.228741
22-0.08625-0.73190.233316
23-0.08875-0.75310.226933
24-0.078461-0.66580.253845
25-0.065213-0.55340.290869
26-0.048476-0.41130.341026
27-0.035624-0.30230.381654
28-0.036923-0.31330.377479
29-0.032756-0.27790.390925
30-0.032076-0.27220.393134
31-0.046881-0.39780.345979
32-0.058851-0.49940.309521
33-0.057177-0.48520.314517
34-0.054399-0.46160.322884
35-0.049491-0.41990.337889
36-0.044848-0.38050.352331
37-0.043409-0.36830.356853
38-0.038652-0.3280.371943
39-0.043582-0.36980.356305
40-0.051963-0.44090.330295
41-0.04586-0.38910.349162
42-0.052066-0.44180.329982
43-0.067247-0.57060.285019
44-0.085124-0.72230.236226
45-0.096287-0.8170.208305
46-0.114862-0.97460.166502
47-0.12974-1.10090.137307
48-0.144398-1.22530.112235


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9127817.74520
2-0.171478-1.4550.075002
3-0.078192-0.66350.254572
4-0.107345-0.91090.182706
5-0.065448-0.55530.29019
6-0.095495-0.81030.210218
7-0.01193-0.10120.459826
80.0105590.08960.464428
90.0050540.04290.482957
10-0.031681-0.26880.394417
110.0651140.55250.291155
12-0.016245-0.13780.445376
13-0.009258-0.07860.468801
140.0599860.5090.306156
15-0.012977-0.11010.456312
16-0.03975-0.33730.368438
17-0.059303-0.50320.308178
18-0.057153-0.4850.314589
190.0291330.24720.402728
20-0.068329-0.57980.281932
210.0741760.62940.265538
220.0139790.11860.452955
23-0.037283-0.31640.376324
240.0737840.62610.266623
25-0.001336-0.01130.495495
260.0083590.07090.471826
27-0.034856-0.29580.38413
28-0.093727-0.79530.214527
290.0479460.40680.342667
30-0.050645-0.42970.334336
31-0.086597-0.73480.232424
320.0497330.4220.337141
330.0702510.59610.276488
340.0123810.10510.458313
350.0130380.11060.45611
36-0.011913-0.10110.459883
37-0.019629-0.16660.434094
38-0.028715-0.24370.404095
39-0.058092-0.49290.311783
40-0.027493-0.23330.408101
410.0523250.4440.32919
42-0.076321-0.64760.259651
43-0.050653-0.42980.33431
44-0.016481-0.13980.444585
450.0484820.41140.341005
46-0.075624-0.64170.261556
470.0428540.36360.358602
48-0.038881-0.32990.371211
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/05/t1244205100rr6glztaxg740an/1vogd1244204976.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/05/t1244205100rr6glztaxg740an/1vogd1244204976.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/05/t1244205100rr6glztaxg740an/2cero1244204976.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/05/t1244205100rr6glztaxg740an/2cero1244204976.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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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