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VAC (Partiële) autocorrelatie functie voor de uurlonen

*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, 17 Dec 2008 04:28:36 -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/17/t122951335887ddntu9v1ze300.htm/, Retrieved Wed, 17 Dec 2008 12:29:27 +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/17/t122951335887ddntu9v1ze300.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 «
188,5 188,6 191,9 193,5 194,9 194,9 196,2 196,2 198 198,6 201,3 203,5 204,1 204,8 206,5 207,8 208,6 209,7 210 211,7 212,4 213,7 214,8 216,4 217,5 218,6 220,4 221,8 222,5 223,4 225,5 226,5 227,8 228,5 229,1 229,9 230,8 231,9 236 237,5
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.128413-0.80190.213724
20.006370.03980.484237
3-0.25456-1.58970.059986
40.035750.22330.41225
5-0.229986-1.43630.079451
60.0650680.40630.343354
7-0.085367-0.53310.298488
80.2285071.4270.080765
90.0021050.01310.494789
10-0.251785-1.57240.061969
110.1082280.67590.251551
120.0795940.49710.310967
130.0706510.44120.330747
14-0.157863-0.98590.165141
150.1103870.68940.247338
16-0.00986-0.06160.475607
170.0775640.48440.31541
18-0.15879-0.99160.163742
190.0888880.55510.290996
20-0.06136-0.38320.35183
21-0.007666-0.04790.481031
22-0.040541-0.25320.400729
23-0.056524-0.3530.362997
240.0995670.62180.268848


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.128413-0.80190.213724
2-0.01029-0.06430.474545
3-0.259359-1.61970.056679
4-0.033774-0.21090.417023
5-0.26103-1.63010.055562
6-0.080334-0.50170.309354
7-0.141556-0.8840.191053
80.0784090.48970.313558
90.0219230.13690.445904
10-0.389688-2.43360.009816
110.1293360.80770.212081
120.0353910.2210.413117
130.0281070.17550.430786
14-0.134919-0.84260.202304
150.0246120.15370.439318
160.1089550.68040.250128
17-0.02525-0.15770.437759
180.054740.34180.36715
190.0196350.12260.451518
20-0.117217-0.7320.234266
21-0.01093-0.06830.472964
220.1007960.62950.266355
23-0.179974-1.12390.133955
24-0.034494-0.21540.415284
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t122951335887ddntu9v1ze300/169ea1229513314.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t122951335887ddntu9v1ze300/169ea1229513314.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t122951335887ddntu9v1ze300/2fqbz1229513314.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t122951335887ddntu9v1ze300/2fqbz1229513314.ps (open in new window)


 
Parameters (Session):
par1 = 24 ; par2 = 0.3 ; par3 = 1 ; par4 = 0 ; par5 = 4 ;
 
Parameters (R input):
par1 = 24 ; par2 = 0.3 ; par3 = 1 ; par4 = 0 ; par5 = 4 ;
 
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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