Home » date » 2008 » Dec » 21 »

Werkloosheid - Jongeren < 25 jaar - ACF 4

*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, 21 Dec 2008 05:34:50 -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/21/t1229862958yk0455s8b756jix.htm/, Retrieved Sun, 21 Dec 2008 13:35:59 +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/21/t1229862958yk0455s8b756jix.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 «
21.1 21 20.4 19.5 18.6 18.8 23.7 24.8 25 23.6 22.3 21.8 20.8 19.7 18.3 17.4 17 18.1 23.9 25.6 25.3 23.6 21.9 21.4 20.6 20.5 20.2 20.6 19.7 19.3 22.8 23.5 23.8 22.6 22 21.7 20.7 20.2 19.1 19.5 18.7 18.6 22.2 23.2 23.5 21.3 20 18.7 18.9 18.3 18.4 19.9 19.2 18.5 20.9 20.5 19.4 18.1 17 17
 
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
1-0.081504-0.55280.291542
20.1825341.2380.110998
3-0.326699-2.21580.015847
4-0.311639-2.11360.02
5-0.211215-1.43250.079376
6-0.105494-0.71550.238959
70.2516271.70660.047318
80.0514610.3490.364332
90.4285612.90660.002802
10-0.098683-0.66930.253324
110.0082490.05590.477813
12-0.238232-1.61580.056492
13-0.228621-1.55060.063927
14-0.008779-0.05950.47639
15-0.037309-0.2530.400682
160.2909041.9730.027261
170.1576361.06910.145293
180.0420770.28540.388318
19-0.042758-0.290.386561
20-0.207204-1.40530.083321
21-0.099213-0.67290.25219
22-0.176631-1.1980.118533
230.1229760.83410.204278
240.0336010.22790.41037
250.2803841.90170.031745
260.0672010.45580.325345
27-0.016422-0.11140.4559
28-0.132133-0.89620.187415
29-0.14689-0.99630.162169
30-0.051915-0.35210.363185
31-0.05638-0.38240.351968
320.0958070.64980.259527
330.0719690.48810.313892
340.0700770.47530.318416
350.0121840.08260.46725
360.0101410.06880.472732
37-0.127214-0.86280.196361
38-0.026184-0.17760.429912
39-0.054109-0.3670.357656
400.0045410.03080.487783
410.0188440.12780.449431
420.0517630.35110.363567
430.0074920.05080.479847
440.0204330.13860.445192
450.0047680.03230.487172
46NANANA
47NANANA
48NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.081504-0.55280.291542
20.1770671.20090.117964
3-0.311807-2.11480.019949
4-0.425287-2.88440.002974
5-0.225358-1.52850.066624
6-0.194059-1.31620.097319
70.0452610.3070.380124
8-0.179813-1.21960.114426
90.1922631.3040.099362
10-0.020535-0.13930.444921
11-0.06543-0.44380.329647
12-0.023061-0.15640.438199
13-0.112832-0.76530.224012
140.0218920.14850.441306
15-0.059299-0.40220.344706
160.036020.24430.404042
170.1904881.2920.101413
18-0.196046-1.32960.095095
190.0125430.08510.466287
20-0.029946-0.20310.419974
21-3e-05-2e-040.499919
22-0.09343-0.63370.264717
23-0.0807-0.54730.293399
24-0.008133-0.05520.478125
250.0927510.62910.266208
26-0.056501-0.38320.351666
270.0266870.1810.42858
28-0.107521-0.72920.234775
290.1301650.88280.190961
300.0264350.17930.429249
31-0.045438-0.30820.37967
32-0.070231-0.47630.318046
33-0.038104-0.25840.398612
34-0.099239-0.67310.252134
35-0.024454-0.16590.434498
360.0146050.09910.460761
37-0.061437-0.41670.339423
38-0.057002-0.38660.350415
39-0.000376-0.00250.498989
40-0.080417-0.54540.294051
41-0.123414-0.8370.203451
42-0.153837-1.04340.151114
43-0.037933-0.25730.399056
44-0.02677-0.18160.428362
45-0.060393-0.40960.341997
46NANANA
47NANANA
48NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229862958yk0455s8b756jix/1k6zh1229862889.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229862958yk0455s8b756jix/1k6zh1229862889.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229862958yk0455s8b756jix/2ks861229862889.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/21/t1229862958yk0455s8b756jix/2ks861229862889.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 2 ; 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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