Home » date » 2009 » May » 13 »

autocorrelatie- uitvoer België naar EU -Tessa Buck

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Tue, 12 May 2009 23:40:16 -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/13/t1242193256fmfw3clx2johjxf.htm/, Retrieved Wed, 13 May 2009 07:40:56 +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/13/t1242193256fmfw3clx2johjxf.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 «
11025.1 10853.8 12252.6 11839.4 11669.1 11601.4 11178.4 9516.4 12102.8 12989 11610.2 10205.5 11356.2 11307.1 12648.6 11947.2 11714.1 12192.5 11268.8 9097.4 12639.8 13040.1 11687.3 11191.7 11391.9 11793.1 13933.2 12778.1 11810.3 13698.4 11956.6 10723.8 13938.9 13979.8 13807.4 12973.9 12509.8 12934.1 14908.3 13772.1 13012.6 14049.9 11816.5 11593.2 14466.2 13615.9 14733.9 13880.7 13527.5 13584 16170.2 13260.6 14741.9 15486.5 13154.5 12621.2 15031.6 15452.4 15428 13105.9 14716.8 14180 16202.2 14392.4 15140.6 15960.1 14351.3 13230.2 15202.1 17056 16077.7 13348.2 16707.5 16792.6 16831.3 17804.5 16370.2 17602.5 17065.6 14427.9 17818.5 18027.6
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.325931-2.93340.00218
2-0.322459-2.90210.002386
30.1287251.15850.125026
40.0153540.13820.44522
5-0.066376-0.59740.27596
60.1812781.63150.053334
7-0.180921-1.62830.053674
80.1942991.74870.042066
9-0.000241-0.00220.499139
10-0.303936-2.73540.003826
11-0.134543-1.21090.114731
120.6602375.94210
13-0.198838-1.78950.038633
14-0.214029-1.92630.02879
150.0291590.26240.396828
160.0291540.26240.396847
17-0.048733-0.43860.331061
180.1474931.32740.094046
19-0.130157-1.17140.122433
200.1629881.46690.073139
21-0.051135-0.46020.323298
22-0.238345-2.14510.01747
23-0.011273-0.10150.45972
240.3880613.49250.000389
25-0.097239-0.87510.19204
26-0.118273-1.06450.145143
27-0.054388-0.48950.312908
280.0784140.70570.241191
29-0.066775-0.6010.274769
300.0790520.71150.239418
31-0.020531-0.18480.426931
320.0967890.87110.193138
33-0.083989-0.75590.22595
34-0.131639-1.18480.119789
35-0.046069-0.41460.339758
360.317132.85420.002738
37-0.054926-0.49430.311204
38-0.120768-1.08690.14015
39-0.044749-0.40270.344101
400.102890.9260.178596
41-0.077537-0.69780.243639
420.0255220.22970.409453
430.004250.03820.484792
440.1034420.9310.177316
45-0.072045-0.64840.25928
46-0.094657-0.85190.198386
47-0.085402-0.76860.222176
480.2876582.58890.005705


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.325931-2.93340.00218
2-0.479643-4.31682.2e-05
3-0.266096-2.39490.009467
4-0.295441-2.6590.004722
5-0.33348-3.00130.001786
6-0.083523-0.75170.227204
7-0.319887-2.8790.002551
80.1484291.33590.092668
90.1930691.73760.043039
10-0.029295-0.26370.396357
11-0.566402-5.09761e-06
120.1561551.40540.081863
130.1333211.19990.11684
140.2211831.99060.024946
150.0517520.46580.321317
160.0861060.7750.220311
17-0.037282-0.33550.369042
18-0.011953-0.10760.457298
190.0819030.73710.231588
20-0.023804-0.21420.41545
21-0.093648-0.84280.200903
22-0.138787-1.24910.107616
230.0608450.54760.292736
24-0.103866-0.93480.176336
25-0.0028-0.02520.489978
26-0.037986-0.34190.366666
27-0.017352-0.15620.438144
280.1138291.02450.154333
290.0707580.63680.263019
300.0366780.33010.371088
31-0.045097-0.40590.342954
320.0167740.1510.44019
33-0.031774-0.2860.387816
340.0474740.42730.335159
35-0.158118-1.42310.079279
360.0097410.08770.465178
37-0.026154-0.23540.407251
380.0230980.20790.41792
39-0.053537-0.48180.315611
400.0243790.21940.41344
410.0947950.85320.198045
42-0.003793-0.03410.486425
43-0.034885-0.3140.377178
44-0.100424-0.90380.184388
450.0403580.36320.358692
460.0280760.25270.400577
470.0388540.34970.363741
480.0050130.04510.482062
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/13/t1242193256fmfw3clx2johjxf/1zmrh1242193212.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/13/t1242193256fmfw3clx2johjxf/1zmrh1242193212.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/13/t1242193256fmfw3clx2johjxf/22i581242193212.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/13/t1242193256fmfw3clx2johjxf/22i581242193212.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; 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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