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tijdreeks d2

*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: Mon, 28 Dec 2009 12:08:44 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/28/t1262027379gky9zl5gyzp5r09.htm/, Retrieved Mon, 28 Dec 2009 20:09:41 +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/2009/Dec/28/t1262027379gky9zl5gyzp5r09.htm/},
    year = {2009},
}
@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 = {2009},
    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 «
110,75 110,64 110,46 110,66 110,48 110,5 110,96 111,17 111,07 111,75 111,45 111,24 111,09 111,29 111,15 110,88 111,22 110,62 110,2 109,49 109,32 108,71 107,85 107,44 106,93 106,19 105,71 105,67 105,7 105,28 105,34 105,58 105,23 105,46 104,92 104,68 104,58 104,32 104,36 104,38 104,25 103,93 103,95 103,6 103,23 103,31 102,82 102,76 102,68 102,37 102,54 102,65 102,63 102,22 102,04 101,85 101,88 101,33 100,8
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.3220372.18420.017043
20.3257612.20940.016082
30.4242982.87770.003028
40.4008492.71870.004606
5-0.031612-0.21440.41559
60.0525940.35670.361471
70.1320050.89530.187644
8-0.116034-0.7870.217666
9-0.227291-1.54160.065016
10-0.211726-1.4360.078885
11-0.101606-0.68910.247103
12-0.470346-3.190.001281
13-0.252177-1.71030.04697
14-0.117379-0.79610.21503
15-0.125561-0.85160.199426
16-0.249703-1.69360.048555
170.0033620.02280.490954
18-0.00018-0.00120.499515
19-0.074885-0.50790.306976
20-0.029124-0.19750.422143
210.0162910.11050.456251
220.0849370.57610.283688
23-0.012249-0.08310.467076
240.0021020.01430.494343
250.1017930.69040.246708
26-0.049824-0.33790.368479
27-0.098613-0.66880.253474
28-0.021201-0.14380.443145
29-0.04001-0.27140.393663
30-0.101809-0.69050.246674
31-0.058755-0.39850.346054
320.0108990.07390.470697
33-0.015924-0.1080.457231
34-0.040984-0.2780.391142
35-0.017724-0.12020.45242
360.0744410.50490.308027


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3220372.18420.017043
20.2477461.68030.04984
30.3157082.14120.018793
40.2294441.55620.063262
5-0.402476-2.72970.004476
6-0.227858-1.54540.06455
70.0491830.33360.370108
8-0.063451-0.43030.334476
9-0.056283-0.38170.352209
10-0.253218-1.71740.046315
110.0564120.38260.351887
12-0.255187-1.73080.045099
130.0876780.59470.277492
140.2436141.65230.052645
150.1575561.06860.145414
160.0001890.00130.499492
17-0.173504-1.17680.122673
18-0.210978-1.43090.079606
190.0008410.00570.497736
200.0463820.31460.377251
21-0.097293-0.65990.256314
22-0.015192-0.1030.459192
230.023730.16090.436422
24-0.186175-1.26270.10653
250.1534421.04070.151728
26-0.092907-0.63010.265865
270.0284690.19310.423871
28-0.03632-0.24630.403259
29-0.119515-0.81060.210888
300.0757220.51360.305005
31-0.030477-0.20670.418576
320.0889480.60330.274644
33-0.032501-0.22040.413256
34-0.065884-0.44680.328542
350.0273860.18570.426732
36-0.066414-0.45040.327255
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/28/t1262027379gky9zl5gyzp5r09/1hcnq1262027322.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/28/t1262027379gky9zl5gyzp5r09/1hcnq1262027322.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/28/t1262027379gky9zl5gyzp5r09/2ddez1262027322.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/28/t1262027379gky9zl5gyzp5r09/2ddez1262027322.ps (open in new window)


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