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vrouwen zonder parameters aan te passen

*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: Thu, 11 Dec 2008 07:46:12 -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/11/t12290068179v8cq4lji6rgvu5.htm/, Retrieved Thu, 11 Dec 2008 14:46:59 +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/11/t12290068179v8cq4lji6rgvu5.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)
 
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Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
9,0 9,1 8,7 8,2 7,9 7,9 9,1 9,4 9,5 9,1 9,0 9,3 9,9 9,8 9,4 8,3 8,0 8,5 10,4 11,1 10,9 9,9 9,2 9,2 9,5 9,6 9,5 9,1 8,9 9,0 10,1 10,3 10,2 9,6 9,2 9,3 9,4 9,4 9,2 9,0 9,0 9,0 9,8 10,0 9,9 9,3 9,0 9,0 9,1 9,1 9,1 9,2 8,8 8,3 8,4 8,1 7,8 7,9 7,9 8,0 7,9 7,5 7,2 6,9 6,6 6,7 7,3 7,5
 
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
10.8593967.08680
20.6100585.03072e-06
30.4007733.30490.000759
40.3512012.89610.002539
50.4078343.36310.000635
60.4455483.67410.000236
70.3813.14180.001243
80.2664742.19740.015701
90.1928551.59030.058201
100.2246251.85230.034161
110.3002162.47560.007898
120.3108422.56330.006293
130.1748471.44180.076971
14-0.004604-0.0380.484914
15-0.131016-1.08040.141893
16-0.127393-1.05050.148602
17-0.051047-0.42090.33756
18-0.003928-0.03240.487127
19-0.032277-0.26620.395461
20-0.100934-0.83230.204071
21-0.143836-1.18610.119855
22-0.118342-0.97590.166293
23-0.055786-0.460.323483
24-0.010726-0.08850.464889
25-0.055747-0.45970.323597
26-0.136144-1.12270.132763
27-0.206134-1.69980.046867
28-0.208719-1.72110.044886
29-0.174349-1.43770.07755
30-0.149561-1.23330.110852
31-0.163071-1.34470.091592
32-0.204032-1.68250.04853
33-0.240384-1.98230.025747
34-0.248431-2.04860.022181
35-0.226301-1.86610.033169
36-0.190627-1.57190.060302
37-0.187239-1.5440.063614
38-0.194413-1.60320.056766
39-0.213307-1.7590.04154
40-0.216951-1.7890.039032
41-0.216034-1.78150.039651
42-0.222669-1.83620.035352
43-0.242544-2.00010.024744
44-0.260722-2.150.017559
45-0.259345-2.13860.018031
46-0.2293-1.89090.031452
47-0.16746-1.38090.085914
48-0.091321-0.7530.22701


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.8593967.08680
2-0.491527-4.05326.6e-05
30.207841.71390.045552
40.4233443.4910.000425
5-0.034266-0.28260.389183
6-0.188108-1.55120.062751
7-0.064816-0.53450.297374
80.1947381.60580.056471
90.0779520.64280.261255
100.0725240.59810.275897
11-0.093918-0.77450.220668
12-0.179366-1.47910.071867
13-0.302222-2.49220.007569
140.2254681.85930.033659
15-0.074265-0.61240.271156
16-0.090427-0.74570.229216
17-0.002295-0.01890.492477
180.0101390.08360.466805
190.1023130.84370.2009
20-0.022625-0.18660.426278
21-0.055769-0.45990.323532
22-0.026145-0.21560.414975
230.1115350.91970.180481
240.1582981.30540.098086
25-0.272789-2.24950.013862
26-0.007792-0.06430.474477
27-0.010745-0.08860.464827
28-0.060787-0.50130.308901
29-0.081244-0.670.252578
30-0.007078-0.05840.476815
31-0.034924-0.2880.387116
32-0.106558-0.87870.191329
330.0251410.20730.418191
34-0.05993-0.49420.311379
35-0.011371-0.09380.462786
360.0847470.69880.243518
370.0014610.0120.495211
380.0420170.34650.365024
39-0.016316-0.13450.446685
40-0.083443-0.68810.246868
41-0.088411-0.72910.234235
42-0.021299-0.17560.430552
43-0.064447-0.53140.298422
44-0.042014-0.34650.365036
450.0642220.52960.299062
460.0565250.46610.321309
470.0480270.3960.346657
480.0123670.1020.459537
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t12290068179v8cq4lji6rgvu5/14ky01229006771.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t12290068179v8cq4lji6rgvu5/14ky01229006771.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t12290068179v8cq4lji6rgvu5/2bq0u1229006771.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/11/t12290068179v8cq4lji6rgvu5/2bq0u1229006771.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; 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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Error 001_3: History of computation (impact.txt) is not saved due to a technical problem. We are sorry for this inconveniance and will correct it A.S.A.P.