Home » date » 2009 » May » 22 »

Martin Horemans - Opgave 6bis: oef 2: stap1

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Fri, 22 May 2009 06:11:40 -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/22/t1242994380pxmwvdbqfda84r2.htm/, Retrieved Fri, 22 May 2009 14:13:02 +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/22/t1242994380pxmwvdbqfda84r2.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 «
1746 1271 1363 1664 2179 2305 2098 2231 1407 1966 2293 2045 1532 1333 1583 1712 2641 2267 2126 2231 1517 2010 2628 2115 1829 1636 1787 2122 2620 2555 2337 2524 1801 2417 2389 2267 2135 1760 1905 2176 2344 2674 2766 2783 2000 2588 2736 2704 2466 1976 2171 2397 2942 2707 2861 2765 1814 2611 2606 2518 2267 1730 1901 2124 2448 2489 2521 2466 1827 2278 2373 2356 2075 1606 1699 2311 2093 2064 2180 2136
 
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
10.5223994.67256e-06
20.1782421.59420.057413
30.0076070.0680.47296
4-0.004581-0.0410.483711
50.2831662.53270.006637
60.342693.06510.001483
70.2273972.03390.022638
8-0.028724-0.25690.398951
9-0.041617-0.37220.355352
100.0833530.74550.229068
110.3810133.40790.000514
120.6817756.0980
130.3110492.78210.003367
140.0307020.27460.392163
15-0.130381-1.16620.123506
16-0.145769-1.30380.098021
170.0989750.88530.189334
180.1134431.01470.156662
190.0327410.29280.3852
20-0.140239-1.25430.106686
21-0.194187-1.73690.043131
22-0.114584-1.02490.154256
230.143231.28110.101932
240.3658553.27230.000788
250.1092070.97680.165812
26-0.073073-0.65360.257627
27-0.254651-2.27770.012708
28-0.27272-2.43930.008465
29-0.086007-0.76930.221999
30-0.065321-0.58430.280347
31-0.108753-0.97270.166814
32-0.207553-1.85640.033538
33-0.271073-2.42460.008791
34-0.22751-2.03490.022586
35-0.013489-0.12060.452136
360.2037641.82250.036056
370.0266870.23870.405974
38-0.101995-0.91230.182184
39-0.269318-2.40890.00915
40-0.313685-2.80570.003151
41-0.13897-1.2430.108751
42-0.103421-0.9250.178868
43-0.123845-1.10770.135655
44-0.213877-1.9130.029665
45-0.280314-2.50720.007097
46-0.232711-2.08140.020296
47-0.028051-0.25090.401269
480.1249161.11730.133609


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.5223994.67256e-06
2-0.130187-1.16440.123855
3-0.041437-0.37060.355948
40.0440890.39430.347188
50.3869543.4610.000433
60.0193060.17270.43167
7-0.034516-0.30870.379167
8-0.197898-1.77010.040264
90.2156121.92850.028671
100.048370.43260.333224
110.3592313.21310.000947
120.4249313.80070.00014
13-0.366176-3.27520.000781
14-0.113626-1.01630.156276
15-0.072865-0.65170.258223
16-0.14793-1.32310.094781
17-0.164202-1.46870.072922
18-0.138378-1.23770.109725
190.0691370.61840.269041
200.0290240.25960.39792
21-0.119592-1.06970.143995
22-0.107662-0.9630.169234
230.0503540.45040.326827
240.029010.25950.397969
25-0.039595-0.35420.362079
260.0794180.71030.23978
27-0.048679-0.43540.332223
28-0.023021-0.20590.418694
29-0.109999-0.98390.164074
300.0189840.16980.432798
31-0.089157-0.79740.213777
320.0334240.2990.382875
33-0.006183-0.05530.478018
34-0.008507-0.07610.469769
35-0.066979-0.59910.275406
360.1466691.31190.096661
37-0.106737-0.95470.171306
380.0012950.01160.495394
39-0.007239-0.06470.474269
40-0.011104-0.09930.460569
41-0.001616-0.01450.494253
420.0201060.17980.428869
43-0.092943-0.83130.204136
44-0.072926-0.65230.258049
45-0.039623-0.35440.361987
460.0603680.53990.295367
47-0.00531-0.04750.481119
48-0.157121-1.40530.081897
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/22/t1242994380pxmwvdbqfda84r2/1nu1n1242994298.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/22/t1242994380pxmwvdbqfda84r2/1nu1n1242994298.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/22/t1242994380pxmwvdbqfda84r2/2p4tt1242994298.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2009/May/22/t1242994380pxmwvdbqfda84r2/2p4tt1242994298.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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