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Tijdreeks B - Stap 17

*Unverified author*
R Software Module: /rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Sat, 14 Aug 2010 12:02:22 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Aug/14/t1281787353d5o5mbd6wv49f71.htm/, Retrieved Sat, 14 Aug 2010 14:02:34 +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/2010/Aug/14/t1281787353d5o5mbd6wv49f71.htm/},
    year = {2010},
}
@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 = {2010},
    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:
Jacobs Jeff
 
Dataseries X:
» Textbox « » Textfile « » CSV «
335 334 333 331 329 328 329 331 332 332 333 335 335 333 325 322 322 315 321 324 329 332 322 324 324 323 309 306 305 300 301 302 308 311 301 301 308 302 290 286 286 275 284 289 292 293 285 280 281 280 265 260 254 238 247 246 247 237 222 216 212 209 185 186 178 158 166 162 164 147 132 124 117 120 89 81 71 52 63 62 74 67 53 42
 
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'RServer@AstonUniversity' @ vre.aston.ac.uk


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9583178.78310
20.918368.41690
30.8809528.07410
40.8439827.73520
50.8028457.35820
60.7591946.95810
70.711116.51740
80.6653146.09770
90.6212625.6940
100.5773085.29110
110.5415124.9632e-06
120.5033124.61297e-06
130.460924.22443e-05
140.4196173.84580.000117
150.3826163.50670.000365
160.350063.20840.000945
170.3163012.8990.002388
180.2831532.59510.005578
190.2460342.25490.013369
200.212741.94980.027268
210.1810091.6590.050425
220.1469381.34670.090848
230.1210731.10960.135159
240.0947680.86860.19378
250.0655010.60030.274954
260.0372610.34150.366787
270.0148260.13590.446119
28-0.004442-0.04070.48381
29-0.024096-0.22080.412876
30-0.042834-0.39260.34781
31-0.064845-0.59430.276949
32-0.083404-0.76440.223383
33-0.100856-0.92440.178973
34-0.118106-1.08250.141072
35-0.129443-1.18640.119412
36-0.141371-1.29570.099316
37-0.157215-1.44090.076665
38-0.171198-1.56910.060197
39-0.18153-1.66370.049945
40-0.191496-1.75510.041445
41-0.202602-1.85690.033417
42-0.213614-1.95780.026787
43-0.228469-2.0940.019639
44-0.241642-2.21470.014745
45-0.255426-2.3410.0108
46-0.26897-2.46510.007866
47-0.277767-2.54580.006365
48-0.284581-2.60820.005385


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9583178.78310
2-0.000138-0.00130.499499
30.0108260.09920.460599
4-0.013308-0.1220.451607
5-0.069954-0.64110.26159
6-0.055434-0.50810.306371
7-0.084005-0.76990.221754
8-0.005334-0.04890.480563
9-0.006458-0.05920.476473
10-0.021068-0.19310.423677
110.0819670.75120.227303
12-0.046875-0.42960.334286
13-0.07289-0.6680.252969
14-0.022629-0.20740.418101
150.0088750.08130.467684
160.0279030.25570.39939
17-0.038712-0.35480.361816
18-0.00499-0.04570.481817
19-0.072969-0.66880.252736
200.0037110.0340.486476
21-0.007679-0.07040.472028
22-0.064724-0.59320.277319
230.0761020.69750.243713
24-0.025546-0.23410.407726
25-0.046407-0.42530.335841
26-0.012643-0.11590.454014
270.0220080.20170.420318
280.0181280.16610.434221
29-0.040122-0.36770.357
300.0088290.08090.467848
31-0.059409-0.54450.293773
32-0.007178-0.06580.473852
33-0.001873-0.01720.493174
34-0.030887-0.28310.388903
350.0550420.50450.307627
36-0.028124-0.25780.398611
37-0.046823-0.42910.334461
380.0021430.01960.49219
39-0.006446-0.05910.476515
40-0.008066-0.07390.470623
41-0.053407-0.48950.312887
420.0050540.04630.481581
43-0.061202-0.56090.28817
44-0.029024-0.2660.395443
45-0.018761-0.17190.431946
46-0.032913-0.30170.381831
470.0394560.36160.35927
480.0040240.03690.485334
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Aug/14/t1281787353d5o5mbd6wv49f71/1nmuo1281787339.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Aug/14/t1281787353d5o5mbd6wv49f71/1nmuo1281787339.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Aug/14/t1281787353d5o5mbd6wv49f71/2nmuo1281787339.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Aug/14/t1281787353d5o5mbd6wv49f71/2nmuo1281787339.ps (open in new window)


 
Parameters (Session):
par1 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; 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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