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ACF bouwvergunningen gebouwen

*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: Fri, 05 Dec 2008 06:00:50 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2008/Dec/05/t1228482088pcwxxsw78cbq9cn.htm/, Retrieved Fri, 05 Dec 2008 13:01:30 +0000
 
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/2008/Dec/05/t1228482088pcwxxsw78cbq9cn.htm/},
    year = {2008},
}
@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 = {2008},
    note = {{ISBN} 3-900051-07-0},
    url = {http://www.R-project.org},
}
 
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply] 
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
1515 1510 1225 1577 1417 1224 1693 1633 1639 1914 1586 1552 2081 1500 1437 1470 1849 1387 1592 1589 1798 1935 1887 2027 2080 1556 1682 1785 1869 1781 2082 2570 1862 1936 1504 1765 1607 1577 1493 1615 1700 1335 1523 1623 1540 1637 1524 1419 1821 1593 1357 1263 1750 1405 1393 1639 1679 1551 1744 1429 1784
 
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
10.3502162.73530.004075
20.2782152.17290.01684
30.3020552.35910.010768
40.2146821.67670.049357
50.0251050.19610.422601
60.0374050.29210.385586
70.0526130.41090.341287
80.1536611.20010.117364
90.1769251.38180.086032
100.0202430.15810.43745
11-0.024552-0.19180.424285
120.1279190.99910.160851
13-0.030018-0.23440.407712
14-0.144339-1.12730.132011
150.006620.05170.479468
16-0.176718-1.38020.08628
17-0.121842-0.95160.172524
18-0.212021-1.65590.051436
19-0.168466-1.31580.096589
20-0.264137-2.0630.02169
21-0.112161-0.8760.192231
22-0.188751-1.47420.072786
23-0.194944-1.52260.066518
24-0.08106-0.63310.264518
25-0.101566-0.79330.215351
26-0.284167-2.21940.015093
27-0.175697-1.37220.087507
28-0.193491-1.51120.067949
29-0.228276-1.78290.03979
30-0.169288-1.32220.095523
31-0.139546-1.08990.140024
32-0.011543-0.09020.464229
33-0.009371-0.07320.470947
340.0243640.19030.424859
35-0.068276-0.53330.297898
360.1489051.1630.124682
370.0701850.54820.29279
38-0.033128-0.25870.398353
390.0525080.41010.341585
400.1019830.79650.214411
41-0.016242-0.12690.449737
420.025450.19880.421553
43-0.000647-0.00510.497992
440.024620.19230.424078
450.0340580.2660.395568
460.0781950.61070.271826
47-0.006215-0.04850.480721
480.0727190.5680.286077
490.1140050.89040.188373
500.0183710.14350.443192
510.0518880.40530.343354
520.0488550.38160.352053
530.0111340.0870.465495
540.0305520.23860.406099
550.0068580.05360.478728
56-0.013797-0.10780.457271
570.0239190.18680.426214
58-0.011693-0.09130.463766
590.0029770.02330.490762
60-0.005251-0.0410.483709


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3502162.73530.004075
20.1773121.38480.085572
30.1880511.46870.073523
40.0458830.35840.360655
5-0.15692-1.22560.112532
6-0.034484-0.26930.394294
70.0283920.22170.412625
80.2003421.56470.061411
90.1565841.2230.113024
10-0.156077-1.2190.113769
11-0.198973-1.5540.062676
120.0970360.75790.225721
13-0.008289-0.06470.474297
14-0.065659-0.51280.304966
150.0750330.5860.280009
16-0.299529-2.33940.011303
17-0.03356-0.26210.39706
18-0.129208-1.00910.158445
190.0654910.51150.305424
20-0.119086-0.93010.177995
210.0190030.14840.44125
22-0.068267-0.53320.297922
23-0.073266-0.57220.284637
240.0652830.50990.305988
250.0227410.17760.429809
26-0.217132-1.69590.047506
27-0.111896-0.87390.19279
28-0.008192-0.0640.474598
29-0.012356-0.09650.461718
300.0395240.30870.379304
31-0.02939-0.22950.409609
320.0590950.46150.323025
33-0.05054-0.39470.347208
340.0127440.09950.46052
350.0091320.07130.471686
360.1149370.89770.186442
370.0211340.16510.43472
38-0.107161-0.8370.202942
39-0.025341-0.19790.421882
40-0.051612-0.40310.34414
41-0.017042-0.13310.447275
42-0.027717-0.21650.41467
43-0.067235-0.52510.300702
44-0.117093-0.91450.182021
45-0.081333-0.63520.263827
460.0387890.3030.381478
47-0.051968-0.40590.343124
48-0.010959-0.08560.466037
49-0.057693-0.45060.326939
500.0453410.35410.362232
51-0.038137-0.29790.383411
520.0508080.39680.346441
53-0.047896-0.37410.354822
54-0.000443-0.00350.498624
55-0.085925-0.67110.252347
560.0210740.16460.434903
57-0.016424-0.12830.449178
58-0.078963-0.61670.269856
590.0665270.51960.302613
60-0.033335-0.26040.397732
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228482088pcwxxsw78cbq9cn/1xpfn1228482048.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228482088pcwxxsw78cbq9cn/1xpfn1228482048.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228482088pcwxxsw78cbq9cn/2im3l1228482048.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228482088pcwxxsw78cbq9cn/2im3l1228482048.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; 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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