Home » date » 2008 » Dec » 13 »

paper - Belgische inflatie ACF (na differentiatie)

*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: Sat, 13 Dec 2008 05:27:40 -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/13/t1229175384ke5l25y13imzgwa.htm/, Retrieved Sat, 13 Dec 2008 14:36:26 +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/13/t1229175384ke5l25y13imzgwa.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 «
4.8 5.5 5.4 5.9 5.8 5.1 4.1 4.4 3.6 3.5 3.1 2.9 2.2 1.4 1.2 1.3 1.3 1.3 1.8 1.8 1.8 1.7 2.1 2 1.7 1.9 2.3 2.4 2.5 2.8 2.6 2.2 2.8 2.8 2.8 2.3 2.2 3 2.9 2.7 2.7 2.3 2.4 2.8 2.3 2 1.9 2.3 2.7 1.8 2 2.1 2 2.4 1.7 1 1.2 1.4 1.7 1.8
 
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
10.0383890.29490.384564
2-0.080899-0.62140.268366
30.0321380.24690.402939
40.0262210.20140.420536
50.0999430.76770.22287
60.0746910.57370.284172
7-0.098501-0.75660.22615
80.031090.23880.406042
9-0.14871-1.14230.12898
100.0705870.54220.294865
110.1294070.9940.162142
12-0.343263-2.63670.005342
13-0.152674-1.17270.122812
140.0538070.41330.340443
150.0617660.47440.31847
16-0.0313-0.24040.405419
17-0.164968-1.26710.105041
18-0.022684-0.17420.431136
190.0694170.53320.297948
20-0.093968-0.72180.23664
210.04070.31260.377835
22-0.020633-0.15850.437308
23-0.106622-0.8190.208046
24-0.059661-0.45830.324223
250.1488721.14350.128723
26-0.031988-0.24570.403383
27-0.080992-0.62210.268132
280.0002410.00190.499263
29-0.009761-0.0750.470243
300.0495110.38030.352544
310.0282230.21680.414561
32-0.03417-0.26250.396938
330.0450640.34610.365234
34-0.03218-0.24720.402815
35-0.020621-0.15840.437345
360.1238020.95090.172757


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0383890.29490.384564
2-0.082494-0.63370.264379
30.0389890.29950.382814
40.0166440.12780.449355
50.1049540.80620.211692
60.0696230.53480.297403
7-0.090849-0.69780.244014
80.0437420.3360.369036
9-0.183912-1.41270.081506
100.093520.71830.237691
110.0840.64520.260643
12-0.343822-2.64090.005282
13-0.090054-0.69170.245914
140.0261560.20090.420731
150.0894070.68670.247466
16-0.081407-0.62530.267094
17-0.111434-0.85590.197747
180.061770.47450.31846
190.0278130.21360.415785
20-0.081855-0.62870.265973
21-0.065281-0.50140.308966
22-0.001754-0.01350.494647
230.0200120.15370.43918
24-0.193217-1.48410.071549
250.0730990.56150.288296
26-0.075105-0.57690.283103
270.010270.07890.468696
280.045280.34780.364613
29-0.198089-1.52160.066731
300.0871350.66930.252959
310.0649190.49870.309938
32-0.064268-0.49360.311693
33-0.03113-0.23910.405922
34-0.038149-0.2930.385264
350.0227830.1750.43084
36-0.02777-0.21330.415912
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229175384ke5l25y13imzgwa/17tt81229171258.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229175384ke5l25y13imzgwa/17tt81229171258.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229175384ke5l25y13imzgwa/2xmmr1229171258.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229175384ke5l25y13imzgwa/2xmmr1229171258.ps (open in new window)


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