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(partial) autocorrelation function olieprijzen d=1

*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 04:01:55 -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/t1229511781xf0f7v7z7ht9d5c.htm/, Retrieved Wed, 17 Dec 2008 12:03:06 +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/t1229511781xf0f7v7z7ht9d5c.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 «
87 96.3 107.1 115.2 106.1 89.5 91.3 97.6 100.7 104.6 94.7 101.8 102.5 105.3 110.3 109.8 117.3 118.8 131.3 125.9 133.1 147 145.8 164.4 149.8 137.7 151.7 156.8 180 180.4 170.4 191.6 199.5 218.2 217.5 205 194 199.3 219.3 211.1 215.2 240.2 242.2 240.7 255.4 253 218.2 203.7 205.6 215.6
 
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'George Udny Yule' @ 72.249.76.132


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.0851270.59590.276996
2-0.232085-1.62460.055332
3-0.078582-0.55010.292383
4-0.152467-1.06730.145541
50.1196850.83780.203107
6-0.081473-0.57030.285537
70.0020880.01460.494199
8-0.151776-1.06240.146625
9-0.131553-0.92090.180816
100.2946642.06260.022234
110.143151.00210.160621
120.0899060.62930.266025
13-0.115357-0.80750.21164
14-0.129435-0.9060.184673
150.0266370.18650.426427
16-0.073123-0.51190.305524
170.0199240.13950.444826
18-0.114892-0.80420.212571
19-0.103875-0.72710.235305
200.0977440.68420.248534
210.0843420.59040.27882
220.0495920.34710.364984
23-0.115378-0.80760.211599
24-0.034986-0.24490.403778
250.0053120.03720.485244
26-0.000658-0.00460.498173
27-0.014564-0.10190.459608
28-0.118418-0.82890.205582
29-0.015509-0.10860.456995
300.0750770.52550.30079
310.070680.49480.311491
32-0.000185-0.00130.499485
33-0.068725-0.48110.316302
34-0.037333-0.26130.397467
350.0095230.06670.473561
360.0049280.03450.486312
37-0.003028-0.02120.491587
380.0185590.12990.448583
39-0.034608-0.24230.404797
400.0081010.05670.477504
410.1240090.86810.194797
420.1266960.88690.189739
430.0065260.04570.481874
44-0.085518-0.59860.27609
45-0.072492-0.50740.307059
46-0.012053-0.08440.466552
470.0083720.05860.476754
480.0074320.0520.479362


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.0851270.59590.276996
2-0.241079-1.68760.048927
3-0.03587-0.25110.401398
4-0.210806-1.47560.073218
50.1402030.98140.165603
6-0.229772-1.60840.057086
70.1147490.80320.212857
8-0.347617-2.43330.009328
90.0511680.35820.360876
100.0900220.63020.265762
110.1454131.01790.156865
120.0624810.43740.331883
13-0.050679-0.35480.362149
140.0135390.09480.462442
15-0.057376-0.40160.34485
16-0.027492-0.19240.424095
17-0.08093-0.56650.286816
18-0.065589-0.45910.324088
19-0.063904-0.44730.328306
200.0324190.22690.410709
21-0.018066-0.12650.449943
22-0.094733-0.66310.255177
23-0.111819-0.78270.218776
24-0.005045-0.03530.485986
25-0.068525-0.47970.316796
260.0359310.25150.401233
27-0.151678-1.06170.146777
28-0.013106-0.09170.463639
29-0.059086-0.41360.340485
300.0974650.68230.249144
31-0.098753-0.69130.24633
32-0.033096-0.23170.408879
33-0.073402-0.51380.304847
34-0.024627-0.17240.431922
35-0.007509-0.05260.479147
36-0.128802-0.90160.185836
37-0.004221-0.02950.488275
38-0.003214-0.02250.491071
39-0.00121-0.00850.496638
40-0.053501-0.37450.354822
410.0480540.33640.369011
420.0836330.58540.280471
430.0434770.30430.381078
440.00650.04550.481948
45-0.084678-0.59270.278038
460.0018630.0130.494825
47-0.039785-0.27850.390903
480.002640.01850.492665
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229511781xf0f7v7z7ht9d5c/1yeej1229511713.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229511781xf0f7v7z7ht9d5c/1yeej1229511713.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229511781xf0f7v7z7ht9d5c/26wch1229511713.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/17/t1229511781xf0f7v7z7ht9d5c/26wch1229511713.ps (open in new window)


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