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aantal bouwvergunningen

*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: Sat, 12 Dec 2009 13:26:32 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/12/t126064963794yeawh1snelpgc.htm/, Retrieved Sat, 12 Dec 2009 21:27:19 +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/2009/Dec/12/t126064963794yeawh1snelpgc.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 «
2360 2214 2825 2355 2333 3016 2155 2172 2150 2533 2058 2160 2260 2498 2695 2799 2947 2930 2318 2540 2570 2669 2450 2842 3440 2678 2981 2260 2844 2546 2456 2295 2379 2479 2057 2280 2351 2276 2548 2311 2201 2725 2408 2139 1898 2537 2069 2063 2524 2437 2189 2793 2074 2622 2278 2144 2427 2139 1828 2072 1800
 
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
1-0.51351-3.55770.000427
20.1318340.91340.182806
3-0.111059-0.76940.222701
40.1383520.95850.171299
5-0.116163-0.80480.212451
6-0.042263-0.29280.385466
70.0153150.10610.457971
80.1389250.96250.17031
9-0.068382-0.47380.318908
100.0437620.30320.381528
110.0900870.62410.267746
12-0.296238-2.05240.022803
130.1214620.84150.202116
14-0.084623-0.58630.280216
150.1541561.0680.145427
16-0.257832-1.78630.040183
170.2137391.48080.072593
18-0.038852-0.26920.394474
190.0779380.540.295857
20-0.210732-1.460.075403
210.0682860.47310.319143
22-0.0084-0.05820.476918
230.0443820.30750.379902
24-0.099791-0.69140.246331
250.0691290.47890.317077
260.0709440.49150.312652
27-0.025111-0.1740.431308
28-0.001348-0.00930.496293
29-0.031881-0.22090.413063
300.0512810.35530.361967
31-0.094619-0.65550.257625
320.0872720.60460.274134
330.0929950.64430.261227
34-0.148665-1.030.154091
350.0936790.6490.259708
360.063090.43710.332


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.51351-3.55770.000427
2-0.17908-1.24070.110373
3-0.172861-1.19760.118474
40.0235940.16350.435421
5-0.038379-0.26590.395728
6-0.166342-1.15240.127422
7-0.132911-0.92080.180871
80.1026650.71130.240176
90.1060950.7350.232944
100.1155940.80090.213579
110.2415041.67320.050398
12-0.257746-1.78570.040232
13-0.249162-1.72620.045368
14-0.193673-1.34180.092986
150.0453030.31390.37749
16-0.161948-1.1220.13372
17-0.072426-0.50180.309058
18-0.092288-0.63940.262804
19-0.011409-0.0790.468663
20-0.040015-0.27720.391396
21-0.097276-0.67390.251788
22-0.047783-0.33110.371023
230.0825220.57170.285087
24-0.076763-0.53180.298649
25-0.166572-1.1540.127097
26-0.038475-0.26660.395473
270.0665910.46140.323314
28-0.031578-0.21880.413874
29-0.008743-0.06060.475977
300.0305950.2120.416514
31-0.024993-0.17320.431629
32-0.082021-0.56830.286255
330.1990921.37940.08709
34-0.056226-0.38950.349297
350.0262430.18180.428246
360.0637970.4420.330238
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/12/t126064963794yeawh1snelpgc/10ut21260649591.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/12/t126064963794yeawh1snelpgc/10ut21260649591.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/12/t126064963794yeawh1snelpgc/2w2671260649591.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/12/t126064963794yeawh1snelpgc/2w2671260649591.ps (open in new window)


 
Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = 2 ; par4 = 12 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ; par6 = MA ; 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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