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Autocorrelation zondertrend-ruwe aardolie-Katrijn Kempenaers

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Thu, 07 May 2009 08:35:08 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/May/07/t1241706969pcdoz3nv9wqlr4l.htm/, Retrieved Thu, 07 May 2009 16:36:10 +0200
 
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/May/07/t1241706969pcdoz3nv9wqlr4l.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 «
88.6 95 96.3 83.3 96.9 103.4 99.3 103.8 113.4 111.5 114.2 90.6 90.8 96.4 90 92.1 97.2 95.1 88.5 91 90.5 75 66.3 66 68.4 70.6 83.9 90.1 90.6 87.1 90.8 94.1 99.8 96.8 87 96.3 107.1 115.2 106.1 89.5 91.3 97.6 100.7 104.6 94.7 101.8 102.5 105.3 110.3 109.8 117.3 118.8 131.3 125.9 133.1 147 145.8 164.4 149.8 137.7 151.7 156.8 180 180.4 170.4 191.6 199.5 218.2 217.5 205 194 199.3 219.3 211.1 215.2 240.2 242.2 240.7 255.4 253 218.2 203.7 205.6 215.6 188.5 202.9 214 230.3 230 241 259.6 247.8 270.3 289.7 322.7 315 320.2 329.5 360.6 382.2 435.4 464 468.8 403 351.6 252 188 146.5 152.9
 
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
10.5316025.52460
20.327773.40630.000463
30.0592460.61570.269692
4-0.042307-0.43970.330529
5-0.214831-2.23260.01382
6-0.192218-1.99760.024138
7-0.095324-0.99060.16204
8-0.046321-0.48140.31561
9-0.117779-1.2240.111809
10-0.002683-0.02790.488904
11-0.01676-0.17420.431027
12-0.080774-0.83940.201541
13-0.159437-1.65690.050219
14-0.075054-0.780.218553
150.0024250.02520.489969
16-0.100168-1.0410.150105
17-0.099056-1.02940.152791
18-0.094303-0.980.164632
19-0.06374-0.66240.254563
20-0.058713-0.61020.271518
210.0184920.19220.423985
220.0795760.8270.205037
230.0960250.99790.160274
240.0680550.70720.240468
250.1608111.67120.048789
260.1052961.09430.138135
270.0314240.32660.372313
28-0.046217-0.48030.315991
29-0.053815-0.55930.288572
30-0.03593-0.37340.354793
31-0.058655-0.60960.271717
32-0.020487-0.21290.415902
330.0115760.12030.452232
34-0.002169-0.02250.491027
350.0708380.73620.231612
360.0472530.49110.312187
370.0377970.39280.347621
38-0.031049-0.32270.373783
39-0.043283-0.44980.326874
40-0.040664-0.42260.336718
41-0.039405-0.40950.341488
42-0.017286-0.17960.428887
43-0.068869-0.71570.237858
44-0.045487-0.47270.318686
45-0.005016-0.05210.479263
460.0229960.2390.405785
470.0532730.55360.290489
48-0.007403-0.07690.469408


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5316025.52460
20.0629630.65430.257143
3-0.192424-1.99970.02402
4-0.032407-0.33680.368467
5-0.186716-1.94040.027469
60.0119810.12450.450572
70.1145531.19050.118236
8-0.049319-0.51250.304662
9-0.183705-1.90910.02945
100.132141.37320.086262
11-0.048691-0.5060.306941
12-0.151042-1.56970.059708
13-0.06584-0.68420.247649
140.0567160.58940.278408
150.0819430.85160.198168
16-0.213949-2.22340.014135
17-0.079918-0.83050.204036
18-0.04935-0.51290.304548
190.0436290.45340.325584
200.0262460.27280.39278
21-0.027584-0.28670.387462
22-0.033416-0.34730.364533
230.0585140.60810.2722
240.0166860.17340.431328
250.0652690.67830.249516
26-0.050322-0.5230.301035
27-0.060127-0.62490.266691
280.0148720.15460.438729
29-0.054276-0.56410.286944
300.0347180.36080.359477
31-0.024323-0.25280.400464
32-0.009573-0.09950.46047
330.0144910.15060.440289
34-0.019302-0.20060.420699
350.1131011.17540.121214
36-0.064223-0.66740.252962
37-0.032866-0.34160.366674
380.0082180.08540.46605
390.019230.19980.420991
40-0.033593-0.34910.363842
410.0145520.15120.44004
420.0211820.22010.413094
43-0.121507-1.26270.104702
440.0556740.57860.282039
450.0312780.3250.372886
46-0.012589-0.13080.448078
470.0175410.18230.427848
48-0.094288-0.97990.164669
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/07/t1241706969pcdoz3nv9wqlr4l/1tgmj1241706906.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/07/t1241706969pcdoz3nv9wqlr4l/1tgmj1241706906.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/07/t1241706969pcdoz3nv9wqlr4l/2803u1241706906.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/07/t1241706969pcdoz3nv9wqlr4l/2803u1241706906.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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