Home » date » 2009 » Dec » 27 »

acf inschrijvingen

*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: Sun, 27 Dec 2009 07:05:38 -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/27/t1261922775vqnxgr0m0xb8gpu.htm/, Retrieved Sun, 27 Dec 2009 15:06:18 +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/27/t1261922775vqnxgr0m0xb8gpu.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 «
20366 22782 19169 13807 29743 25591 29096 26482 22405 27044 17970 18730 19684 19785 18479 10698 31956 29506 34506 27165 26736 23691 18157 17328 18205 20995 17382 9367 31124 26551 30651 25859 25100 25778 20418 18688 20424 24776 19814 12738 31566 30111 30019 31934 25826 26835 20205 17789 20520 22518 15572 11509 25447 24090 27786 26195 20516 22759 19028 16971
 
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
1-0.364807-2.80210.003428
2-0.001194-0.00920.496357
3-0.011172-0.08580.465953
4-0.062382-0.47920.316797
50.1424491.09420.139163
6-0.365199-2.80510.0034
70.0818690.62880.265938
80.0080530.06190.475444
9-0.024218-0.1860.426534
10-0.031576-0.24250.404603
11-0.260959-2.00450.024809
120.7726625.93490
13-0.270242-2.07580.021141
140.0027230.02090.491691
15-0.011527-0.08850.464872
16-0.051146-0.39290.347918
170.1110470.8530.198563
18-0.288983-2.21970.015147
190.0759560.58340.280915
200.0117550.09030.464179
21-0.024321-0.18680.426225
22-0.032223-0.24750.402685
23-0.194894-1.4970.069861
240.5403994.15095.4e-05
25-0.160727-1.23460.110944
26-0.023688-0.1820.428122
270.033360.25620.399327
28-0.082743-0.63560.263759
290.1097510.8430.201313
30-0.207391-1.5930.058252
310.0474760.36470.358331
320.0147660.11340.455042
33-0.036457-0.280.390216
34-0.003118-0.02390.490488
35-0.124707-0.95790.171012
360.3203012.46030.008415
37-0.069365-0.53280.298086
38-0.033067-0.2540.400193
390.0446370.34290.366461
40-0.06939-0.5330.298019
410.0578150.44410.329302
42-0.1019-0.78270.218465
430.0261070.20050.420877
44-0.008462-0.0650.474198
450.0093480.07180.471499
46-0.015522-0.11920.452751
47-0.055077-0.42310.336898
480.137121.05320.148263
49-0.04269-0.32790.372072
50-0.002649-0.02030.491917
510.0164480.12630.449946
52-0.043816-0.33660.368822
530.0337980.25960.398036
54-0.017634-0.13540.44636
55-0.013091-0.10060.460121
560.0111150.08540.466125
57-0.000749-0.00580.497715
58-0.001873-0.01440.494286
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.364807-2.80210.003428
2-0.154891-1.18970.119456
3-0.08058-0.61890.269167
4-0.115212-0.8850.189886
50.0847180.65070.258873
6-0.347738-2.6710.004879
7-0.236767-1.81860.037021
8-0.166298-1.27740.10324
9-0.173106-1.32960.094376
10-0.277747-2.13340.01853
11-0.66268-5.09012e-06
120.385882.9640.002187
130.1635161.2560.107035
140.0143480.11020.456309
15-0.044516-0.34190.366809
160.0521940.40090.344968
17-0.142702-1.09610.138741
180.0192450.14780.441492
190.1843341.41590.081032
200.0498640.3830.351545
21-0.016179-0.12430.450759
220.1171380.89980.185954
230.0795470.6110.271769
24-0.197435-1.51650.067363
250.0158370.12160.451795
26-0.005501-0.04230.483219
270.0172880.13280.447404
28-0.101514-0.77970.21933
290.0750050.57610.28336
300.0008760.00670.497326
31-0.080073-0.61510.270442
32-0.048159-0.36990.356384
33-0.03637-0.27940.390471
34-0.031716-0.24360.404188
350.1029630.79090.216093
36-0.003016-0.02320.490799
37-0.062465-0.47980.316571
38-0.005181-0.03980.484194
39-0.047331-0.36360.358743
400.0243040.18670.426276
41-0.068856-0.52890.299432
420.0653760.50220.308712
430.0282160.21670.414583
44-0.006489-0.04980.480206
450.1436881.10370.137104
460.0669650.51440.304457
470.0556360.42740.33534
48-0.028012-0.21520.415191
49-0.079244-0.60870.272535
50-0.046125-0.35430.36219
51-0.056243-0.4320.333653
52-0.035202-0.27040.3939
530.0244920.18810.425711
540.0089820.0690.472616
55-0.140628-1.08020.142228
56-0.028239-0.21690.414515
57-0.105919-0.81360.209578
58-0.127527-0.97960.165654
59NANANA
60NANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/27/t1261922775vqnxgr0m0xb8gpu/1j2kz1261922735.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/27/t1261922775vqnxgr0m0xb8gpu/1j2kz1261922735.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/27/t1261922775vqnxgr0m0xb8gpu/2j7bd1261922735.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/27/t1261922775vqnxgr0m0xb8gpu/2j7bd1261922735.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 1 ; 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')
 





Copyright

Creative Commons License

This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 License.

Software written by Ed van Stee & Patrick Wessa


Disclaimer

Information provided on this web site is provided "AS IS" without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose, and noninfringement. We use reasonable efforts to include accurate and timely information and periodically update the information, and software without notice. However, we make no warranties or representations as to the accuracy or completeness of such information (or software), and we assume no liability or responsibility for errors or omissions in the content of this web site, or any software bugs in online applications. Your use of this web site is AT YOUR OWN RISK. Under no circumstances and under no legal theory shall we be liable to you or any other person for any direct, indirect, special, incidental, exemplary, or consequential damages arising from your access to, or use of, this web site.


Privacy Policy

We may request personal information to be submitted to our servers in order to be able to:

  • personalize online software applications according to your needs
  • enforce strict security rules with respect to the data that you upload (e.g. statistical data)
  • manage user sessions of online applications
  • alert you about important changes or upgrades in resources or applications

We NEVER allow other companies to directly offer registered users information about their products and services. Banner references and hyperlinks of third parties NEVER contain any personal data of the visitor.

We do NOT sell, nor transmit by any means, personal information, nor statistical data series uploaded by you to third parties.

We carefully protect your data from loss, misuse, alteration, and destruction. However, at any time, and under any circumstance you are solely responsible for managing your passwords, and keeping them secret.

We store a unique ANONYMOUS USER ID in the form of a small 'Cookie' on your computer. This allows us to track your progress when using this website which is necessary to create state-dependent features. The cookie is used for NO OTHER PURPOSE. At any time you may opt to disallow cookies from this website - this will not affect other features of this website.

We examine cookies that are used by third-parties (banner and online ads) very closely: abuse from third-parties automatically results in termination of the advertising contract without refund. We have very good reason to believe that the cookies that are produced by third parties (banner ads) do NOT cause any privacy or security risk.

FreeStatistics.org is safe. There is no need to download any software to use the applications and services contained in this website. Hence, your system's security is not compromised by their use, and your personal data - other than data you submit in the account application form, and the user-agent information that is transmitted by your browser - is never transmitted to our servers.

As a general rule, we do not log on-line behavior of individuals (other than normal logging of webserver 'hits'). However, in cases of abuse, hacking, unauthorized access, Denial of Service attacks, illegal copying, hotlinking, non-compliance with international webstandards (such as robots.txt), or any other harmful behavior, our system engineers are empowered to log, track, identify, publish, and ban misbehaving individuals - even if this leads to ban entire blocks of IP addresses, or disclosing user's identity.


FreeStatistics.org is powered by