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ACF - Sparen door de gezinnen: huidig tijdstip gunstig?

*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: Sun, 14 Dec 2008 06:27:46 -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/14/t1229261350ybhz2cjxt7pqima.htm/, Retrieved Sun, 14 Dec 2008 14:29:12 +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/2008/Dec/14/t1229261350ybhz2cjxt7pqima.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},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
0 9 1 4 6 21 24 23 22 21 20 16 18 18 24 16 15 24 18 15 4 3 6 5 12 12 12 14 12 17 12 20 21 15 22 19 19 26 25 19 20 30 31 35 33 26 25 17 14 8 12 7 4 10 8 16 14 20 9 10
 
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
1-0.156431-1.07240.1445
20.097240.66660.254129
30.0913260.62610.267139
4-0.046954-0.32190.374479
50.0817910.56070.288822
6-0.114549-0.78530.218107
7-0.0255-0.17480.430987
8-0.065657-0.45010.327346
90.0407690.27950.390545
100.1600051.09690.139128
11-0.113963-0.78130.219275
12-0.315786-2.16490.017752
130.1073470.73590.232713
14-0.149316-1.02370.155618
15-0.08229-0.56420.287666
16-0.091944-0.63030.265763
17-0.075193-0.51550.304312
180.0680240.46630.32156
19-0.032466-0.22260.412414
200.0632070.43330.333379
21-0.123777-0.84860.20021
22-0.183593-1.25870.107186
230.1249070.85630.198083
24-0.09152-0.62740.266707
25-0.009105-0.06240.475245
260.0426840.29260.385547
270.0238270.16340.435472
280.1429720.98020.166012
290.0578090.39630.346831
300.0482260.33060.371199
310.0098930.06780.473106
320.0792730.54350.294687
330.0423570.29040.386399
340.083150.570.28568
35-0.063242-0.43360.333294
360.0980130.67190.252454
37-0.045668-0.31310.377801
380.0117780.08070.467993
39-0.095907-0.65750.257031
40-0.030206-0.20710.418419
410.0090270.06190.475457
42-0.096304-0.66020.256166
430.128240.87920.191891
44-0.168587-1.15580.126807
450.1047530.71820.238109
46-0.038663-0.26510.396061
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.156431-1.07240.1445
20.0745950.51140.305733
30.120680.82730.206113
4-0.024044-0.16480.43489
50.0533390.36570.358125
6-0.103396-0.70890.240959
7-0.066307-0.45460.325754
8-0.077473-0.53110.298915
90.0585190.40120.34505
100.2029111.39110.085374
11-0.046743-0.32050.375023
12-0.445392-3.05350.001859
13-0.05329-0.36530.358248
14-0.031318-0.21470.415464
15-0.047945-0.32870.371923
16-0.083038-0.56930.285939
17-0.022126-0.15170.440042
180.0064310.04410.482511
19-0.090137-0.61790.269796
20-0.067457-0.46250.322941
21-0.049672-0.34050.367486
22-0.186569-1.27910.103578
23-0.064706-0.44360.329683
24-0.131271-0.89990.186368
250.0246650.16910.433223
26-0.005123-0.03510.486066
27-0.070935-0.48630.314506
28-0.043931-0.30120.382304
290.0208540.1430.443464
30-0.009448-0.06480.474315
31-0.015051-0.10320.459127
320.1276990.87550.192889
33-0.055347-0.37940.353034
34-0.03278-0.22470.411581
35-0.071102-0.48750.314102
36-0.013428-0.09210.463523
37-0.092398-0.63340.264756
38-0.086755-0.59480.277428
39-0.182638-1.25210.108364
400.0248730.17050.432667
410.0412790.2830.389212
42-0.091696-0.62860.266315
430.0856050.58690.280046
44-0.110033-0.75430.227202
450.0085230.05840.476827
46-0.037008-0.25370.400412
47NANANA
48NANANA
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/14/t1229261350ybhz2cjxt7pqima/1gggm1229261264.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/14/t1229261350ybhz2cjxt7pqima/1gggm1229261264.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/14/t1229261350ybhz2cjxt7pqima/2ykyr1229261264.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/14/t1229261350ybhz2cjxt7pqima/2ykyr1229261264.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; 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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