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Autocorrelatie

*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: Wed, 10 Dec 2008 10:15:49 -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/10/t1228929652i8nv69kf2ifdym6.htm/, Retrieved Wed, 10 Dec 2008 17:20:52 +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/10/t1228929652i8nv69kf2ifdym6.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 «
0,9554 0,9922 0,9778 0,9808 0,9811 1,0014 1,0183 1,0622 1,0773 1,0807 1,0848 1,1582 1,1663 1,1372 1,1139 1,1222 1,1692 1,1702 1,2286 1,2613 1,2646 1,2262 1,1985 1,2007 1,2138 1,2266 1,2176 1,2218 1,249 1,2991 1,3408 1,3119 1,3014 1,3201 1,2938 1,2694 1,2165 1,2037 1,2292 1,2256 1,2015 1,1786 1,1856 1,2103 1,1938 1,202 1,2271 1,277 1,265 1,2684 1,2811 1,2727 1,2611 1,2881 1,3213 1,2999 1,3074 1,3242 1,3516 1,3511
 
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
10.9028646.99360
20.8021376.21330
30.7094835.49560
40.6276854.8624e-06
50.5349174.14345.4e-05
60.4385613.39710.000607
70.3653972.83040.003158
80.3177422.46120.00837
90.2697112.08920.020471
100.2148111.66390.050671
110.1577371.22180.113276
120.1255950.97290.167266
130.0928850.71950.237319
140.0567340.43950.330954
150.0118560.09180.463568
16-0.027455-0.21270.416154
17-0.04139-0.32060.37481
18-0.050765-0.39320.347774
19-0.041838-0.32410.373503
20-0.032597-0.25250.400761
21-0.024773-0.19190.424238
22-0.030372-0.23530.407405
23-0.043268-0.33510.369341
24-0.060581-0.46930.320293
25-0.085045-0.65880.256286
26-0.101263-0.78440.217952
27-0.12218-0.94640.173869
28-0.1437-1.11310.135054
29-0.162452-1.25840.10657
30-0.170541-1.3210.095758
31-0.149353-1.15690.125952
32-0.131416-1.01790.156395
33-0.110748-0.85780.197195
34-0.073366-0.56830.28598
35-0.048284-0.3740.35486
36-0.033021-0.25580.399498


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9028646.99360
2-0.070472-0.54590.293588
3-0.011681-0.09050.464103
40.0031520.02440.490301
5-0.111038-0.86010.19658
6-0.073423-0.56870.285829
70.0611080.47330.318843
80.0734340.56880.285801
9-0.040404-0.3130.377694
10-0.0597-0.46240.322722
11-0.059653-0.46210.32285
120.0675780.52350.301291
13-0.041793-0.32370.373634
14-0.024687-0.19120.424497
15-0.062791-0.48640.314235
16-0.034455-0.26690.395235
170.0807010.62510.267135
180.0092610.07170.471525
190.1119050.86680.194748
20-0.009265-0.07180.471514
21-0.044853-0.34740.364741
22-0.099635-0.77180.221639
23-0.03314-0.25670.399142
24-0.022931-0.17760.429809
25-0.043437-0.33650.36885
260.0352270.27290.392947
27-0.060675-0.470.320035
28-0.029557-0.22890.409844
29-0.030807-0.23860.406102
300.0437070.33860.368065
310.1336061.03490.152433
32-0.024489-0.18970.425096
330.0121870.09440.462552
340.0911580.70610.241427
35-0.059052-0.45740.324513
36-0.031348-0.24280.404485
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t1228929652i8nv69kf2ifdym6/1g7js1228929343.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t1228929652i8nv69kf2ifdym6/1g7js1228929343.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t1228929652i8nv69kf2ifdym6/2601u1228929343.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t1228929652i8nv69kf2ifdym6/2601u1228929343.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 36 ; 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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