Home » date » 2009 » Jun » 02 »

non seasonal - sigaratten - caroline thys

*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, 02 Jun 2009 08:27:42 -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/Jun/02/t12439529449rvkbxhfw3tgy9m.htm/, Retrieved Tue, 02 Jun 2009 16:29:06 +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/Jun/02/t12439529449rvkbxhfw3tgy9m.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 «
106,07 106,07 106,07 106,07 106,07 106,2 107,5 108,31 108,53 108,61 108,62 108,62 108,62 108,62 110,1 110,74 110,77 110,77 110,78 110,78 110,78 110,84 110,84 110,84 110,84 110,84 111,01 112,66 114,04 114,16 114,2 114,2 114,23 114,23 114,23 114,23 114,23 114,23 115,97 116,96 117,08 117,08 117,08 117,63 119,12 119,47 119,5 119,52 119,49 119,49 119,5 119,5 119,56 122,35 122,92 122,92 123,04 123,04 123,04 123,06 123,33 128,21 129,57 129,79 131,66 135,01 136,01 136,31 136,37 136,4 136,4 136,4 137,34 142,18 143,79 144,08 144,08 144,09 144,09 144,11 144,11 144,15 144,15 144,16 144,2 144,38 144,38 144,28 144,46 144,53 144,53 145,34 147,98 150,42 150,53 150,64
 
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
10.3408253.32190.000635
2-0.075102-0.7320.232984
3-0.044037-0.42920.334367
40.0112150.10930.456594
5-0.102155-0.99570.160966
6-0.120263-1.17220.122028
7-0.036121-0.35210.362784
80.2370952.31090.0115
90.0783850.7640.223379
10-0.064222-0.6260.266421
110.0652360.63580.263203
120.2515842.45210.008014
13-0.029881-0.29120.385749
14-0.126586-1.23380.110159
15-0.124117-1.20970.11469
16-0.137302-1.33830.092003
17-0.062472-0.60890.272023
18-0.04076-0.39730.346025
190.0710440.69250.245171
200.184791.80110.037429
21-0.013639-0.13290.447263
22-0.079525-0.77510.220098
23-0.042401-0.41330.340168
24-0.099223-0.96710.167974
25-0.086838-0.84640.199731
260.0083110.0810.467803
270.0646230.62990.265146
280.0373110.36370.358458
290.0151480.14760.441467
300.0070350.06860.47274
310.0657870.64120.261465
320.0429180.41830.338333
33-0.028632-0.27910.390397
340.0400270.39010.348655
350.032850.32020.374768
36-0.046434-0.45260.325941
37-0.011137-0.10850.456895
380.041890.40830.341988
390.0613410.59790.275671
40-0.027503-0.26810.394614
41-0.121257-1.18190.120103
42-0.127674-1.24440.108205
43-0.114822-1.11910.132949
44-0.084325-0.82190.206596
45-0.000891-0.00870.496545
460.0820160.79940.213028
470.0966330.94190.174327
48-0.015295-0.14910.440905


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3408253.32190.000635
2-0.216401-2.10920.018778
30.0722340.70410.241562
4-0.015465-0.15070.440254
5-0.127485-1.24260.108543
6-0.0306-0.29830.383082
7-0.008068-0.07860.468745
80.2718112.64930.004724
9-0.154824-1.5090.067304
100.0267070.26030.397593
110.1081761.05440.147195
120.1827011.78080.039075
13-0.190355-1.85540.033323
140.0498850.48620.313965
15-0.120963-1.1790.120671
16-0.17777-1.73270.043198
170.1252861.22110.112529
18-0.080918-0.78870.216129
190.1398921.36350.087974
20-0.077627-0.75660.225577
21-0.028949-0.28220.389216
220.007690.0750.470206
23-0.078113-0.76140.224165
24-0.050358-0.49080.312338
250.0302870.29520.384244
260.0622410.60660.272766
270.0242730.23660.406743
280.0205580.20040.420808
29-0.015995-0.15590.438223
300.0247320.24110.405016
31-0.013671-0.13320.447141
320.010680.10410.458656
330.0637990.62180.267771
340.0313680.30570.380238
350.0046740.04560.481879
360.0228510.22270.412114
37-0.026571-0.2590.398103
380.0136680.13320.447151
39-0.036598-0.35670.361048
40-0.091479-0.89160.187423
41-0.059959-0.58440.280166
42-0.130752-1.27440.102813
43-0.059549-0.58040.281507
440.0041860.04080.483771
450.0135160.13170.447736
460.0010380.01010.495974
470.066740.65050.258471
48-0.076204-0.74270.229734
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t12439529449rvkbxhfw3tgy9m/16lfy1243952861.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t12439529449rvkbxhfw3tgy9m/16lfy1243952861.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t12439529449rvkbxhfw3tgy9m/22tix1243952861.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/Jun/02/t12439529449rvkbxhfw3tgy9m/22tix1243952861.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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