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WS 8: 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, 25 Nov 2009 04:30:41 -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/25/t125914884317kvaywaup490lz.htm/, Retrieved Wed, 25 Nov 2009 12:34:06 +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/25/t125914884317kvaywaup490lz.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:
Autocorrelatie getest zonder d of D te veranderen.
 
Dataseries X:
» Textbox « » Textfile « » CSV «
8.1 7.7 7.5 7.6 7.8 7.8 7.8 7.5 7.5 7.1 7.5 7.5 7.6 7.7 7.7 7.9 8.1 8.2 8.2 8.2 7.9 7.3 6.9 6.6 6.7 6.9 7.0 7.1 7.2 7.1 6.9 7.0 6.8 6.4 6.7 6.6 6.4 6.3 6.2 6.5 6.8 6.8 6.4 6.1 5.8 6.1 7.2 7.3 6.9 6.1 5.8 6.2 7.1 7.7 7.9 7.7 7.4 7.5 8.0 8.1
 
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
10.840896.51350
20.5970754.62491e-05
30.420923.26040.000918
40.3759082.91180.00252
50.414823.21320.001057
60.4309553.33820.000726
70.3476762.69310.004582
80.2186341.69350.04777
90.1356661.05090.148767
100.1515941.17420.122469
110.2115461.63860.053262
120.2418721.87350.032934
130.1790621.3870.085285
140.0831750.64430.260927
150.0160590.12440.450711
16-0.041225-0.31930.375293
17-0.088521-0.68570.247778
18-0.126503-0.97990.165537
19-0.173073-1.34060.092549
20-0.222755-1.72550.044796
21-0.26053-2.01810.024032
22-0.289199-2.24010.014399
23-0.308606-2.39050.009992
24-0.304457-2.35830.010817
25-0.297506-2.30450.012337
26-0.262848-2.0360.023086
27-0.223312-1.72980.044406
28-0.231382-1.79230.039065
29-0.277511-2.14960.017815
30-0.325377-2.52040.007201
31-0.3569-2.76450.003781
32-0.366449-2.83850.003088
33-0.3286-2.54530.006753
34-0.259878-2.0130.024304
35-0.206541-1.59990.057441
36-0.16768-1.29880.099483


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.840896.51350
2-0.375618-2.90950.002535
30.1832861.41970.080431
40.2334991.80870.037757
50.1082190.83830.202606
6-0.067251-0.52090.302169
7-0.176038-1.36360.088897
80.0140120.10850.456967
90.0754540.58450.280551
100.1114620.86340.195683
11-0.027402-0.21230.416313
12-0.006708-0.0520.479367
13-0.126419-0.97920.165698
140.0549570.42570.335927
15-0.036769-0.28480.388385
16-0.271049-2.09950.019992
17-0.06467-0.50090.309125
180.0323590.25070.401469
19-0.031154-0.24130.405065
20-0.095916-0.7430.230202
21-0.070958-0.54960.292304
22-0.056718-0.43930.330999
230.0013590.01050.495817
240.0372590.28860.386939
25-0.099252-0.76880.222513
260.1294621.00280.159991
270.0181790.14080.444243
28-0.102127-0.79110.216008
29-0.06646-0.51480.304294
30-0.080696-0.62510.267147
31-0.04771-0.36960.356507
32-0.06856-0.53110.298668
330.1225910.94960.173066
340.108180.8380.202689
350.0201510.15610.438244
360.0436780.33830.368149
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/25/t125914884317kvaywaup490lz/1ptqa1259148640.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/25/t125914884317kvaywaup490lz/1ptqa1259148640.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/25/t125914884317kvaywaup490lz/25hb61259148640.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/25/t125914884317kvaywaup490lz/25hb61259148640.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; 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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