Home » date » 2009 » May » 17 »

Autocorrelatie jurk birgit teugels

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Sun, 17 May 2009 04:31:12 -0600
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/May/17/t1242556335tus6snpo0u8baj4.htm/, Retrieved Sun, 17 May 2009 12:32:17 +0200
 
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/May/17/t1242556335tus6snpo0u8baj4.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 «
20,73 20,73 20,74 20,74 20,75 20,75 20,77 20,78 20,78 20,8 20,84 20,85 20,86 20,86 20,86 20,86 20,9 20,92 20,95 20,95 20,95 20,96 21,1 21,18 21,19 21,19 21,19 21,19 21,19 21,21 21,22 21,22 21,22 21,23 21,41 21,42 21,43 21,44 21,44 21,44 21,48 21,53 21,54 21,54 21,54 21,54 21,54 21,54 21,54 21,54 21,54 21,54 21,57 21,6 21,61 21,6 21,6 21,71 21,75 21,84 21,85 21,92 21,92 21,93 22 22 21,99 22,01 22,01 22,06 22,03 22,05 22,05 22,06 22,06 22,13 22,06 22,25 22,28 22,18
 
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
10.9641278.62340
20.9228238.2540
30.8822367.8910
40.8488657.59250
50.8116747.25980
60.7762486.9430
70.7395466.61470
80.7023976.28240
90.6639515.93860
100.6269675.60780
110.5894315.2721e-06
120.5528574.94492e-06
130.5142994.68e-06
140.4752024.25032.9e-05
150.4346453.88760.000104
160.3943423.52710.00035
170.3566443.18990.001016
180.3190722.85390.002749
190.2800072.50450.007148
200.2426712.17050.016466
210.2043381.82770.035665
220.1701191.52160.066027
230.1436481.28480.101281
240.1234221.10390.136468
250.1018960.91140.182415
260.0781920.69940.243175
270.0547510.48970.312839
280.0317250.28380.388664
290.0093910.0840.466636
30-0.012647-0.11310.45511
31-0.035779-0.320.374895
32-0.059565-0.53280.297837
33-0.083645-0.74810.228283
34-0.107642-0.96280.169279
35-0.125225-1.120.133023
36-0.144385-1.29140.100139
37-0.164257-1.46920.072856
38-0.185346-1.65780.050638
39-0.206355-1.84570.034318
40-0.225821-2.01980.023376
41-0.242382-2.16790.016568
42-0.258625-2.31320.01164
43-0.274743-2.45740.008079
44-0.292812-2.6190.005273
45-0.310988-2.78160.003372
46-0.328158-2.93510.002175
47-0.33777-3.02110.00169
48-0.34773-3.11020.001295


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9641278.62340
2-0.09534-0.85270.198174
3-0.005572-0.04980.480189
40.0798470.71420.238599
5-0.088499-0.79160.215478
60.0165160.14770.441466
7-0.033956-0.30370.381069
8-0.037397-0.33450.369443
9-0.028698-0.25670.39904
10-0.006906-0.06180.475449
11-0.033474-0.29940.382704
12-0.010064-0.090.464251
13-0.049851-0.44590.328445
14-0.033378-0.29850.383033
15-0.041383-0.37010.356129
16-0.029774-0.26630.395343
170.0114420.10230.459372
18-0.037481-0.33520.369159
19-0.046444-0.41540.339477
200.0050950.04560.481882
21-0.053936-0.48240.315412
220.0306120.27380.392472
230.083160.74380.229587
240.0392520.35110.363225
25-0.03369-0.30130.38197
26-0.035066-0.31360.377305
27-0.011179-0.10.460302
28-0.0271-0.24240.404549
29-0.01596-0.14270.443424
30-0.02538-0.2270.410498
31-0.045782-0.40950.341637
32-0.033325-0.29810.383213
33-0.027125-0.24260.404461
34-0.034379-0.30750.379634
350.0609250.54490.29366
36-0.068713-0.61460.270284
37-0.039903-0.35690.361052
38-0.025774-0.23050.409133
39-0.038443-0.34380.365932
400.0022290.01990.49207
410.002220.01990.492105
42-0.033054-0.29560.384133
43-0.017909-0.16020.436569
44-0.045545-0.40740.342415
45-0.016496-0.14750.441535
460.0053680.0480.480912
470.0654580.58550.279938
48-0.050492-0.45160.326384
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/17/t1242556335tus6snpo0u8baj4/13ozn1242556270.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/17/t1242556335tus6snpo0u8baj4/13ozn1242556270.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/17/t1242556335tus6snpo0u8baj4/2e8731242556270.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/17/t1242556335tus6snpo0u8baj4/2e8731242556270.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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