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Autocorrelatie functie

*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: Mon, 23 Nov 2009 11:29:14 -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/23/t1259001060ykvh27csxmyupxb.htm/, Retrieved Mon, 23 Nov 2009 19:31:03 +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/23/t1259001060ykvh27csxmyupxb.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 «
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 8.2 8.1 8.1 8 7.9 7.9 8 8 7.9 8 7.7 7.2 7.5 7.3 7 7 7 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 8 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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.8534297.29170
20.5956555.08931e-06
30.4167893.5610.000327
40.4183743.57460.000313
50.5426394.63638e-06
60.6389825.45950
70.5994165.12141e-06
80.4697224.01337.2e-05
90.3587753.06540.001523
100.3393322.89930.002469
110.382673.26950.000822
120.4149113.5450.000345
130.3332182.8470.002863
140.2223071.89940.030732
150.1360951.16280.124349
160.0989680.84560.200273
170.0950270.81190.209742
180.0836670.71480.238491
190.0325940.27850.390713
20-0.031706-0.27090.393616
21-0.079816-0.6820.248714
22-0.098279-0.83970.201911
23-0.097328-0.83160.204182
24-0.099166-0.84730.199805
25-0.145578-1.24380.108772
26-0.179826-1.53640.064378
27-0.192706-1.64650.051982
28-0.187067-1.59830.057148
29-0.179672-1.53510.064539
30-0.188983-1.61470.055348
31-0.228375-1.95120.027433
32-0.277832-2.37380.010119
33-0.299856-2.5620.006236
34-0.281966-2.40910.009257
35-0.247223-2.11230.019042
36-0.227147-1.94070.028076


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8534297.29170
2-0.488435-4.17324.1e-05
30.37223.18010.001081
40.3820713.26440.000836
50.1634871.39680.083347
6-0.039243-0.33530.369183
7-0.107199-0.91590.181365
80.1113340.95120.172311
90.0344430.29430.384688
10-0.016052-0.13710.445646
11-0.085415-0.72980.233928
12-0.002185-0.01870.492577
13-0.36087-3.08330.001445
140.3180442.71740.004107
15-0.308133-2.63270.005166
16-0.151802-1.2970.099359
17-0.026229-0.22410.411652
18-0.00589-0.05030.48
19-0.069476-0.59360.277307
20-0.057101-0.48790.313553
210.0001260.00110.499573
22-0.004374-0.03740.485146
230.1091910.93290.176965
24-0.103553-0.88480.189597
250.0830890.70990.240011
260.0628720.53720.296388
270.0477510.4080.342241
280.0480790.41080.341218
29-0.036406-0.31110.378324
300.0057550.04920.48046
31-0.067319-0.57520.283472
32-0.114516-0.97840.165548
330.0591720.50560.307342
34-0.041133-0.35140.363134
35-0.149251-1.27520.103141
36-0.005605-0.04790.480966
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Nov/23/t1259001060ykvh27csxmyupxb/14t9o1259000951.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/23/t1259001060ykvh27csxmyupxb/14t9o1259000951.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Nov/23/t1259001060ykvh27csxmyupxb/29kdd1259000951.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Nov/23/t1259001060ykvh27csxmyupxb/29kdd1259000951.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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