Home » date » 2008 » Dec » 05 »

Taak 10 deel 2 stap 2 ACF met d=0 en D=0

*The author of this computation has been verified*
R Software Module: rwasp_autocorrelation.wasp (opens new window with default values)
Title produced by software: (Partial) Autocorrelation Function
Date of computation: Fri, 05 Dec 2008 06:18:35 -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/05/t1228483318jhr8qqzb6zoed9s.htm/, Retrieved Fri, 05 Dec 2008 13:21:58 +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/05/t1228483318jhr8qqzb6zoed9s.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 «
58.972 59.249 63.955 53.785 52.760 44.795 37.348 32.370 32.717 40.974 33.591 21.124 58.608 46.865 51.378 46.235 47.206 45.382 41.227 33.795 31.295 42.625 33.625 21.538 56.421 53.152 53.536 52.408 41.454 38.271 35.306 26.414 31.917 38.030 27.534 18.387 50.556 43.901 48.572 43.899 37.532 40.357 35.489 29.027 34.485 42.598 30.306 26.451 47.460 50.104 61.465 53.726 39.477 43.895 31.481 29.896 33.842 39.120 33.702 25.094
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.4585923.55220.000375
20.2103961.62970.0542
30.1033120.80030.21336
4-0.125776-0.97430.16692
5-0.273851-2.12120.019021
6-0.362472-2.80770.003361
7-0.328529-2.54480.006763
8-0.175149-1.35670.08998
9-0.041032-0.31780.375858
10-0.000388-0.0030.498805
110.2064231.59890.057543
120.6498925.0342e-06
130.262752.03530.023125
140.099640.77180.221628
150.0313560.24290.404463
16-0.146257-1.13290.130882
17-0.207987-1.61110.056208
18-0.299245-2.31790.01194
19-0.276027-2.13810.018296
20-0.104384-0.80860.210984
21-0.012813-0.09920.460637
220.0276260.2140.415639
230.2218411.71840.045443
240.5488414.25133.8e-05
250.2656822.0580.021973
260.1276650.98890.163345
270.0072470.05610.477711
28-0.136443-1.05690.1474
29-0.180994-1.4020.083037
30-0.279242-2.1630.017268
31-0.246585-1.910.030456
32-0.120351-0.93220.177476
33-0.074887-0.58010.28202
34-0.05131-0.39740.346225
350.0625310.48440.314946
360.2729052.11390.019344


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4585923.55220.000375
20.0001139e-040.499652
30.0085930.06660.473576
4-0.223248-1.72930.044452
5-0.181824-1.40840.082087
6-0.198739-1.53940.064479
7-0.072114-0.55860.289258
80.0519430.40240.344427
90.0488340.37830.353284
10-0.076874-0.59550.276887
110.1494761.15780.12576
120.6023914.66619e-06
13-0.479722-3.71590.000223
14-0.111196-0.86130.196245
15-0.051653-0.40010.345252
160.0600660.46530.321713
170.0637510.49380.311621
18-0.030578-0.23690.406787
19-0.014323-0.11090.456014
200.0074280.05750.477155
210.0601950.46630.321357
220.1243220.9630.169708
230.0914950.70870.240622
24-0.061442-0.47590.317926
250.0107080.08290.467086
26-0.003474-0.02690.489312
27-0.092755-0.71850.237627
280.0797410.61770.269565
29-0.035073-0.27170.393404
300.0331330.25660.399164
310.0406530.31490.376966
32-0.123179-0.95410.17192
33-0.025995-0.20140.42055
34-0.061093-0.47320.318885
35-0.167642-1.29850.099534
36-0.133358-1.0330.152878
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228483318jhr8qqzb6zoed9s/1qggg1228483110.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228483318jhr8qqzb6zoed9s/1qggg1228483110.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228483318jhr8qqzb6zoed9s/2a13y1228483110.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/05/t1228483318jhr8qqzb6zoed9s/2a13y1228483110.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 36 ; 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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