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biefstuk 3 d=1

*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: Tue, 14 Dec 2010 15:38:53 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/14/t12923411570ncdojkqzchipw0.htm/, Retrieved Tue, 14 Dec 2010 16:39:17 +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/2010/Dec/14/t12923411570ncdojkqzchipw0.htm/},
    year = {2010},
}
@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 = {2010},
    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 «
10,92 10,98 11,15 11,19 11,33 11,38 11,4 11,45 11,56 11,61 11,82 11,77 11,85 11,82 11,92 11,86 11,87 11,94 11,86 11,92 11,83 11,91 11,93 11,99 11,96 12,12 11,85 12,01 12,1 12,21 12,31 12,31 12,39 12,35 12,41 12,51 12,27 12,51 12,44 12,47 12,51 12,58 12,5 12,52 12,59 12,51 12,67 12,64 12,54 12,66 12,67 12,62 12,72 12,85 12,85 12,82
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.471549-3.49710.000469
20.1877781.39260.084672
30.0461520.34230.366724
4-0.037127-0.27530.392044
5-0.033213-0.24630.403177
60.1074810.79710.21441
70.058880.43670.332031
8-0.087089-0.64590.260524
90.0476660.35350.362533
100.02190.16240.435786
11-0.202539-1.50210.0694
120.1592041.18070.121404
13-0.065342-0.48460.314946
14-0.124048-0.920.180804
150.074780.55460.290713
16-0.039631-0.29390.384965
17-0.091778-0.68060.249477
180.0299640.22220.412483
190.0429720.31870.375584
20-0.040679-0.30170.382016
210.0818430.6070.273186
22-0.027622-0.20490.419222
230.0373150.27670.39151
24-0.068125-0.50520.307707
250.2016561.49550.070248
26-0.189687-1.40680.082563
270.1235840.91650.181697
28-0.040381-0.29950.382854
290.0261880.19420.423362
300.0422460.31330.377618
31-0.030431-0.22570.411141
32-0.029195-0.21650.414693
330.0285260.21160.416617
34-0.099661-0.73910.231493
350.0012140.0090.496426
360.0406210.30130.382179


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.471549-3.49710.000469
2-0.044468-0.32980.371407
30.1516131.12440.132864
40.067410.49990.30956
5-0.073872-0.54780.293007
60.0579560.42980.334506
70.205291.52250.06681
80.0166830.12370.450991
9-0.082345-0.61070.271961
100.0029330.02180.491362
11-0.197289-1.46310.074561
12-0.042626-0.31610.376553
130.012780.09480.462416
14-0.162915-1.20820.116068
15-0.087968-0.65240.258435
160.0041480.03080.487785
17-0.034299-0.25440.40008
18-0.025349-0.1880.425788
190.0482830.35810.360829
200.1002990.74380.230071
210.1682111.24750.108752
220.0115590.08570.465998
230.0683510.50690.307125
24-0.042681-0.31650.376399
250.1240480.920.180805
26-0.066042-0.48980.313119
27-0.108597-0.80540.212034
28-0.148025-1.09780.138541
29-0.003507-0.0260.489672
300.1120430.83090.204801
31-0.032889-0.24390.404104
32-0.128743-0.95480.171932
330.0308460.22880.409951
340.0023260.01730.493149
35-0.070143-0.52020.302507
360.0753830.55910.289196
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/14/t12923411570ncdojkqzchipw0/138sw1292341130.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t12923411570ncdojkqzchipw0/138sw1292341130.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/14/t12923411570ncdojkqzchipw0/2e09z1292341130.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t12923411570ncdojkqzchipw0/2e09z1292341130.ps (open in new window)


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