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(P)ACF Duurzame consumptiegoederen

*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: Sun, 21 Dec 2008 16:35:20 -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/22/t1229902710xe8hispq6kwf6g5.htm/, Retrieved Mon, 22 Dec 2008 00:38:32 +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/2008/Dec/22/t1229902710xe8hispq6kwf6g5.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},
}
 
Original text written by user:
 
IsPrivate?
No (this computation is public)
 
User-defined keywords:
 
Dataseries X:
» Textbox « » Textfile « » CSV «
98,1 101,1 111,1 93,3 100 108 70,4 75,4 105,5 112,3 102,5 93,5 86,7 95,2 103,8 97 95,5 101 67,5 64 106,7 100,6 101,2 93,1 84,2 85,8 91,8 92,4 80,3 79,7 62,5 57,1 100,8 100,7 86,2 83,2
 
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
10.3415332.04920.023892
2-0.200889-1.20530.117969
3-0.083638-0.50180.309423
4-0.037612-0.22570.411365
50.0909910.54590.294234
60.2319361.39160.086289
70.1132240.67930.250633
8-0.091515-0.54910.293167
9-0.123475-0.74080.231795
10-0.125055-0.75030.228967
110.140730.84440.202017
120.5083643.05020.002137
130.1206130.72370.236971
14-0.297574-1.78540.041308
15-0.129196-0.77520.221648
16-0.08973-0.53840.296814
17-0.097215-0.58330.281668
180.0282930.16980.433076
190.0018270.0110.495658
20-0.099791-0.59870.276545
21-0.142497-0.8550.199108
22-0.090619-0.54370.294995
230.0294060.17640.430471
240.1455650.87340.19412
25-0.016315-0.09790.461282
26-0.232866-1.39720.085454
27-0.107365-0.64420.261768
28-0.049751-0.29850.383517
29-0.121145-0.72690.236003
30-0.071631-0.42980.334957
31-0.004936-0.02960.48827
320.0053770.03230.487221
33-0.020993-0.1260.450233
34-0.01623-0.09740.461483
35-0.007821-0.04690.481416
36NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3415332.04920.023892
2-0.359464-2.15680.018888
30.1721291.03280.154299
4-0.188445-1.13070.132835
50.2600111.56010.063746
60.0485120.29110.386333
70.0694210.41650.33975
8-0.105564-0.63340.265243
90.0001097e-040.499741
10-0.167668-1.0060.160563
110.3414782.04890.023909
120.2838051.70280.04861
13-0.253672-1.5220.068368
14-0.025463-0.15280.439713
15-0.008888-0.05330.478883
16-0.181543-1.08930.141639
17-0.091888-0.55130.292408
18-0.146383-0.87830.192803
19-0.002223-0.01330.494717
200.0467270.28040.390401
21-0.085707-0.51420.305113
220.0920850.55250.292006
23-0.091909-0.55150.292366
24-0.088852-0.53310.298616
250.0080030.0480.480985
26-0.039784-0.23870.406345
27-0.035859-0.21520.415431
280.0159280.09560.462197
29-0.058971-0.35380.362766
30-0.061325-0.3680.357533
310.0512860.30770.380036
32-0.005987-0.03590.485772
330.0487330.29240.385831
34-0.039037-0.23420.40807
35-0.084648-0.50790.307314
36NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/22/t1229902710xe8hispq6kwf6g5/1b4mu1229902518.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/22/t1229902710xe8hispq6kwf6g5/1b4mu1229902518.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/22/t1229902710xe8hispq6kwf6g5/2yizq1229902518.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/22/t1229902710xe8hispq6kwf6g5/2yizq1229902518.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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