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Faillissementen Wallonie

*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: Tue, 14 Dec 2010 10:14:14 +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/Dec/14/t1292321550ujntk2oeoq0n6jg.htm/, Retrieved Tue, 14 Dec 2010 11:12:32 +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/2010/Dec/14/t1292321550ujntk2oeoq0n6jg.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:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
182 213 227 209 219 221 114 97 205 215 224 189 182 201 198 173 238 258 122 101 259 243 188 173 224 215 196 159 187 208 131 93 210 228 176 195 188 188 190 188 176 225 93 79 235 247 195 197 211 156 209 180 185 303 129 85 249 231 212 240 234 217 287 221 208 241 156 96 320 242 227 200
 
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
10.2771482.14680.017931
20.0554980.42990.334408
3-0.083021-0.64310.261313
40.081770.63340.264444
50.0979710.75890.225447
60.2228261.7260.044747
70.1434911.11150.135399
80.157261.21810.113971
90.1600731.23990.109916
100.0102140.07910.4686
11-0.127442-0.98720.163763
12-0.249066-1.92930.029216
130.0134630.10430.458645
140.2323521.79980.038461
150.1712821.32670.09481
16-0.05354-0.41470.339912
17-0.104918-0.81270.209805
18-0.021441-0.16610.434325
19-0.102129-0.79110.216005
20-0.007909-0.06130.475676
21-0.091718-0.71040.240089
22-0.00353-0.02730.489138
230.0476590.36920.356651
24-0.085513-0.66240.255131
25-0.198464-1.53730.064739
26-0.225195-1.74430.04311
27-0.041082-0.31820.375711
280.023880.1850.426936
290.066620.5160.303864
30-0.20175-1.56270.061686
31-0.183802-1.42370.079853
32-0.163833-1.2690.104663
33-0.023232-0.180.428896
34-0.076225-0.59040.278557
35-0.03527-0.27320.392818
36-0.004387-0.0340.486502
370.0591080.45790.324356
380.0028180.02180.49133
39-0.086465-0.66980.252792
40-0.135007-1.04580.149934
41-0.054321-0.42080.337713
420.1477361.14440.12851
430.1440171.11550.134532
440.0337290.26130.397391
45-0.046519-0.36030.359933
46-0.051214-0.39670.346497
47-0.081894-0.63440.264132
48-0.049588-0.38410.351129


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2771482.14680.017931
2-0.023086-0.17880.429339
3-0.100096-0.77530.220591
40.1451261.12410.132715
50.0467020.36180.359404
60.1811781.40340.082826
70.0608470.47130.319561
80.1115470.8640.195503
90.140221.08610.140881
10-0.100711-0.78010.219199
11-0.142299-1.10220.137378
12-0.267731-2.07380.021197
130.0575450.44570.328695
140.1789391.38610.08543
15-0.011919-0.09230.463374
16-0.062965-0.48770.313761
17-0.004046-0.03130.487553
180.1271040.98450.1644
19-0.137275-1.06330.145946
200.0242670.1880.425766
21-0.097266-0.75340.227071
22-0.045463-0.35220.362978
230.0121850.09440.46256
24-0.255261-1.97720.026307
25-0.00554-0.04290.482956
26-0.038426-0.29760.383501
270.1106360.8570.197432
28-0.009746-0.07550.470037
290.0285520.22120.412859
30-0.092077-0.71320.239237
31-0.121787-0.94340.17464
32-0.035629-0.2760.391757
33-0.010165-0.07870.468751
34-0.004997-0.03870.484626
350.0175170.13570.446262
360.0142930.11070.456106
370.0792370.61380.270844
380.0237920.18430.427203
390.1282570.99350.162235
40-0.075356-0.58370.280804
41-0.03238-0.25080.401406
420.0750520.58130.281591
43-0.080662-0.62480.267234
440.0193710.150.440615
45-0.047348-0.36680.357545
46-0.005547-0.0430.482934
47-0.130316-1.00940.158413
48-0.0047-0.03640.48554
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/14/t1292321550ujntk2oeoq0n6jg/10suv1292321652.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t1292321550ujntk2oeoq0n6jg/10suv1292321652.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/14/t1292321550ujntk2oeoq0n6jg/20suv1292321652.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t1292321550ujntk2oeoq0n6jg/20suv1292321652.ps (open in new window)


 
Parameters (Session):
par1 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 1 ; 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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This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


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