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opgave 6bis- oefening 2-stap 1-Van Muylder Jurgen

*Unverified author*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Mon, 08 Dec 2008 13:21:14 -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/08/t1228767747i82kwg8u5nrvzke.htm/, Retrieved Mon, 08 Dec 2008 20:22:30 +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/08/t1228767747i82kwg8u5nrvzke.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)
 
Feedback Forum:
2008-11-27 13:41:43 [a2386b643d711541400692649981f2dc] [reply
test

Post a new message
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
101,6 101,8 102,1 102,1 101,9 102,1 102 102,1 102,2 102,3 102,7 102,8 103,1 103,1 103,3 103,5 103,3 103,5 103,8 103,9 103,9 104,2 104,6 104,9 105,2 105,2 105,6 105,6 106,2 106,3 106,4 106,9 107,2 107,3 107,3 107,4 107,55 107,87 108,37 108,38 107,92 108,03 108,14 108,3 108,64 108,66 109,04 109,03 109,03 109,54 109,75 109,83 109,65 109,82 109,95 110,12 110,15 110,2 109,99 110,14 110,14 110,81 110,97 110,99 109,73 109,81 110,02 110,18 110,21 110,25 110,36 110,51 110,64 110,95 111,18 111,19 111,69 111,7 111,83 111,77 111,73 112,01 111,86 112,04
 
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
10.9663468.85670
20.933488.55550
30.9006898.2550
40.869057.9650
50.8344367.64770
60.7987137.32030
70.7611656.97620
80.7224546.62140
90.6855456.28310
100.6488025.94640
110.6144015.63110
120.5805945.32120
130.547845.0211e-06
140.5141654.71245e-06
150.4816174.41411.5e-05
160.4495544.12024.4e-05
170.4147033.80080.000136
180.3806713.48890.000387
190.3483293.19250.000993
200.316192.89790.002395
210.276752.53650.006524
220.2383832.18480.015844
230.2024171.85520.033539
240.1700711.55870.061411
250.1376021.26110.105375
260.1047810.96030.169822
270.0730870.66990.252395
280.0406520.37260.355198
290.0113040.10360.458866
30-0.017614-0.16140.436069
31-0.046286-0.42420.336245
32-0.071746-0.65760.256308
33-0.096852-0.88770.188627
34-0.121075-1.10970.135154
35-0.144964-1.32860.093786
36-0.166763-1.52840.065085
37-0.187672-1.720.044554
38-0.20763-1.9030.030235
39-0.222769-2.04170.022159
40-0.238988-2.19040.015635
41-0.256922-2.35470.010434
42-0.273622-2.50780.007037
43-0.289359-2.6520.004782
44-0.304016-2.78630.003294
45-0.319828-2.93130.002174
46-0.3362-3.08130.001393
47-0.347829-3.18790.001007
48-0.358424-3.2850.000744


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9663468.85670
2-0.005213-0.04780.481005
3-0.015735-0.14420.442839
40.0001870.00170.499318
5-0.061501-0.56370.287242
6-0.036669-0.33610.368825
7-0.047864-0.43870.331009
8-0.041424-0.37970.35258
90.0054670.05010.480078
10-0.018342-0.16810.433452
110.0156540.14350.443132
12-0.007692-0.07050.471983
13-0.005637-0.05170.47946
14-0.033547-0.30750.379625
15-0.009323-0.08540.466055
16-0.017215-0.15780.437505
17-0.068255-0.62560.266647
18-0.014038-0.12870.448968
190.0010320.00950.496236
20-0.021914-0.20080.420654
21-0.130591-1.19690.117359
22-0.01663-0.15240.439612
230.0079650.0730.47099
240.0233110.21360.415669
25-0.021682-0.19870.42148
26-0.030518-0.27970.390198
27-0.008313-0.07620.469726
28-0.043226-0.39620.346492
290.0070360.06450.474367
30-0.023135-0.2120.416297
31-0.036271-0.33240.370196
320.0217310.19920.421307
33-0.023148-0.21220.416249
34-0.010311-0.09450.462466
35-0.027158-0.24890.402021
36-0.003556-0.03260.487037
37-0.00293-0.02690.489321
38-0.018925-0.17350.431357
390.0411510.37720.353504
40-0.044507-0.40790.342187
41-0.040524-0.37140.355633
42-0.008262-0.07570.469911
43-0.02834-0.25970.397849
44-0.018994-0.17410.431111
45-0.049308-0.45190.326247
46-0.032996-0.30240.381543
470.0510370.46780.320584
48-0.010706-0.09810.461036
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228767747i82kwg8u5nrvzke/182by1228767672.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228767747i82kwg8u5nrvzke/182by1228767672.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228767747i82kwg8u5nrvzke/24b7s1228767672.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/08/t1228767747i82kwg8u5nrvzke/24b7s1228767672.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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