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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 10:11:32 +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/t12923214058xoucq41z2yl5sv.htm/, Retrieved Tue, 14 Dec 2010 11:10:07 +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/t12923214058xoucq41z2yl5sv.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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1041120.88340.189975
2-0.37147-3.1520.001182
30.0706070.59910.275488
40.0631440.53580.296875
5-0.051179-0.43430.332695
60.0824630.69970.243178
7-0.016466-0.13970.444637
80.0997530.84640.200059
90.0915660.7770.219864
10-0.333-2.82560.003052
110.0373820.31720.376005
120.6438885.46360
13-0.001795-0.01520.493946
14-0.384532-3.26290.000844
150.0626670.53170.29827
160.0518660.44010.330593
17-0.068818-0.58390.280542
18-0.025533-0.21670.414544
19-0.085032-0.72150.236464
200.0199480.16930.433033
21-0.003805-0.03230.487166
22-0.268638-2.27950.012802
230.0363770.30870.379233
240.461563.91650.000101
250.0158790.13470.446598
26-0.337063-2.86010.002769
27-0.045491-0.3860.350317
280.0105170.08920.46457
29-0.066294-0.56250.287754
30-0.045519-0.38620.350229
31-0.033618-0.28530.388132
32-0.013495-0.11450.454577
33-0.010193-0.08650.46566
34-0.200711-1.70310.046433
350.004070.03450.486273
360.3568383.02790.001708
370.0341920.29010.386276
38-0.238431-2.02320.023385
39-0.05633-0.4780.317058
400.0236090.20030.420893
41-0.074085-0.62860.265791
420.010790.09160.463652
430.0336760.28570.387945
440.0165190.14020.44446
450.0035260.02990.488107
46-0.111877-0.94930.17282
47-0.024814-0.21060.416916
480.2486612.110.019169


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1041120.88340.189975
2-0.386499-3.27960.000802
30.195471.65860.050772
4-0.156672-1.32940.093955
50.0868920.73730.231667
60.0421530.35770.360815
7-0.057153-0.4850.31459
80.2436712.06760.021135
9-0.070291-0.59640.276376
10-0.264598-2.24520.013914
110.2726862.31380.011768
120.4515543.83160.000135
13-0.148435-1.25950.105957
14-0.09232-0.78340.217992
150.0218110.18510.426847
16-0.04965-0.42130.337398
17-0.006882-0.05840.476797
18-0.183317-1.55550.062106
19-0.072881-0.61840.269126
20-0.143636-1.21880.11345
21-0.141825-1.20340.116377
220.0592530.50280.308328
23-0.026446-0.22440.411542
240.0634320.53820.296035
250.1430511.21380.11439
26-0.030581-0.25950.398
27-0.072261-0.61320.270854
28-0.053693-0.45560.325024
29-0.001598-0.01360.494611
30-0.028283-0.240.405511
310.0051630.04380.482589
32-0.157126-1.33330.093324
330.0757880.64310.261107
34-0.106407-0.90290.184796
35-0.002215-0.01880.492527
360.0883380.74960.227977
37-0.090454-0.76750.222638
380.1456741.23610.110222
39-0.079541-0.67490.250941
400.0055890.04740.481154
41-0.065313-0.55420.29058
420.0901690.76510.223354
430.065620.55680.289693
440.028210.23940.40575
45-0.020523-0.17410.431122
460.0037270.03160.487431
47-0.06583-0.55860.28909
48-0.106871-0.90680.18376
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/14/t12923214058xoucq41z2yl5sv/1dq471292321489.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t12923214058xoucq41z2yl5sv/1dq471292321489.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/14/t12923214058xoucq41z2yl5sv/2dq471292321489.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/14/t12923214058xoucq41z2yl5sv/2dq471292321489.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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Software written by Ed van Stee & Patrick Wessa


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