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Autocorrelatie Bloem

*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: Mon, 06 Dec 2010 13:14:29 +0000
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2010/Dec/06/t1291641150a3nvc0qlcd347ar.htm/, Retrieved Mon, 06 Dec 2010 14:12:32 +0100
 
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/2010/Dec/06/t1291641150a3nvc0qlcd347ar.htm/},
    year = {2010},
}
@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 = {2010},
    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 «
0.81 0.81 0.81 0.79 0.78 0.78 0.77 0.78 0.77 0.78 0.79 0.79 0.79 0.79 0.79 0.8 0.8 0.8 0.8 0.81 0.8 0.82 0.85 0.85 0.86 0.85 0.83 0.81 0.82 0.82 0.78 0.78 0.73 0.68 0.65 0.62 0.6 0.6 0.59 0.6 0.6 0.6 0.59 0.58 0.56 0.55 0.54 0.55 0.55 0.54 0.54 0.54 0.53 0.53 0.53 0.53
 
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'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.9632917.20860
20.9180416.870
30.8650376.47330
40.8074896.04270
50.7513875.62290
60.6933145.18832e-06
70.6331674.73828e-06
80.5711234.27393.8e-05
90.5085823.80590.000176
100.4405213.29660.000851
110.3718782.78290.003666
120.3068872.29650.012704
130.2457821.83930.03559
140.187541.40340.083006
150.1321610.9890.163458
160.0759650.56850.285994
170.0196380.1470.441847
18-0.039289-0.2940.384917
19-0.095616-0.71550.238628
20-0.154074-1.1530.126907
21-0.205596-1.53850.064775
22-0.251212-1.87990.032664
23-0.293713-2.19790.016052
24-0.322818-2.41570.009495
25-0.34171-2.55710.006645
26-0.35834-2.68160.004805
27-0.363725-2.72190.004318
28-0.367214-2.7480.004027
29-0.374776-2.80460.003457
30-0.379635-2.84090.003131
31-0.376027-2.81390.00337
32-0.370608-2.77340.003761
33-0.362259-2.71090.004446
34-0.3472-2.59820.005977
35-0.334862-2.50590.007574
36-0.322909-2.41640.009479
37-0.305671-2.28740.012985
38-0.29064-2.17490.016937
39-0.274791-2.05640.02221
40-0.260417-1.94880.028169
41-0.246699-1.84610.035081
42-0.235976-1.76590.041433
43-0.224042-1.67660.0496
44-0.210897-1.57820.060075
45-0.194936-1.45880.075108
46-0.177633-1.32930.094573
47-0.161719-1.21020.115644
48-0.149484-1.11860.134035
49-0.135044-1.01060.158283
50-0.121861-0.91190.182858
51-0.106342-0.79580.214758
52-0.090822-0.67960.249764
53-0.071622-0.5360.29705
54-0.047748-0.35730.3611
55-0.023874-0.17870.429426
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.9632917.20860
2-0.137222-1.02690.154447
3-0.119786-0.89640.186939
4-0.072061-0.53930.295925
50.0087880.06580.473901
6-0.056587-0.42350.336791
7-0.062862-0.47040.319942
8-0.058054-0.43440.332822
9-0.034125-0.25540.399687
10-0.116999-0.87550.19251
11-0.042776-0.32010.375041
120.015550.11640.453891
130.0054810.0410.483714
14-0.032428-0.24270.404576
15-0.024244-0.18140.428344
16-0.069064-0.51680.303655
17-0.055403-0.41460.34001
18-0.097461-0.72930.23442
19-0.011171-0.08360.466839
20-0.099315-0.74320.230233
210.0275940.20650.418577
22-0.00363-0.02720.489213
23-0.037161-0.27810.390986
240.1096630.82060.207665
250.0777210.58160.281582
26-0.058172-0.43530.332501
270.0952420.71270.239487
28-0.044942-0.33630.368946
29-0.126923-0.94980.173147
30-0.030675-0.22960.409639
310.0850990.63680.263418
32-0.039565-0.29610.384132
33-0.034036-0.25470.399942
340.0512830.38380.351301
35-0.047579-0.3560.361571
36-0.050134-0.37520.354477
370.0816820.61130.271753
38-0.042798-0.32030.374979
39-0.024138-0.18060.428654
40-0.084041-0.62890.265983
41-0.046241-0.3460.365305
42-0.078242-0.58550.280278
43-0.00592-0.04430.48241
440.0080740.06040.476018
450.0785870.58810.279418
46-0.022769-0.17040.432661
47-0.003303-0.02470.490183
48-0.031835-0.23820.406287
490.0403210.30170.381987
50-0.019339-0.14470.442725
510.0662940.49610.310882
52-0.061434-0.45970.323746
530.0347370.25990.397928
540.0839620.62830.266176
55-0.000758-0.00570.497748
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2010/Dec/06/t1291641150a3nvc0qlcd347ar/14yqb1291641266.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/06/t1291641150a3nvc0qlcd347ar/14yqb1291641266.ps (open in new window)


http://www.freestatistics.org/blog/date/2010/Dec/06/t1291641150a3nvc0qlcd347ar/24yqb1291641266.png (open in new window)
http://www.freestatistics.org/blog/date/2010/Dec/06/t1291641150a3nvc0qlcd347ar/24yqb1291641266.ps (open in new window)


 
Parameters (Session):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
 
Parameters (R input):
par1 = 60 ; par2 = 1 ; par3 = 0 ; par4 = 0 ; par5 = 12 ; par6 = White Noise ;
 
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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