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(P)ACF

*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: Wed, 10 Dec 2008 13:40:13 -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/10/t1228941660pp20e33ylrcma50.htm/, Retrieved Wed, 10 Dec 2008 20:41:00 +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/10/t1228941660pp20e33ylrcma50.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 «
11703.7 16283.6 16726.5 14968.9 14861 14583.3 15305.8 17903.9 16379.4 15420.3 17870.5 15912.8 13866.5 17823.2 17872 17420.4 16704.4 15991.2 16583.6 19123.5 17838.7 17209.4 18586.5 16258.1 15141.6 19202.1 17746.5 19090.1 18040.3 17515.5 17751.8 21072.4 17170 19439.5 19795.4 17574.9 16165.4 19464.6 19932.1 19961.2 17343.4 18924.2 18574.1 21350.6 18594.6 19823.1 20844.4 19640.2 17735.4 19813.6 22160 20664.3 17877.4 21211.2 21423.1 21688.7 23243.2 21490.2 22925.8 23184.8 18562.2
 
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'Sir Ronald Aylmer Fisher' @ 193.190.124.24


Autocorrelation Function
Time lag kACF(k)T-STATP-value
1-0.014738-0.08960.464525
20.1809581.10070.139063
30.2693881.63860.054885
40.0798690.48580.314979
50.0928710.56490.287771
60.097590.59360.27819
7-0.139327-0.84750.201084
80.0702290.42720.335861
90.0083850.0510.479799
100.0502340.30560.380825
11-0.121289-0.73780.232654
12-0.102028-0.62060.26933
130.0432310.2630.397018
14-0.089994-0.54740.293692
150.0488420.29710.384028
16-0.099206-0.60340.274946
17-0.071538-0.43510.332991
180.0843670.51320.305436
190.0496340.30190.382206
20-0.076629-0.46610.321932
210.1008290.61330.271709
22-0.111916-0.68080.250131
230.0569650.34650.365463
24-0.109019-0.66310.255678
25-0.041782-0.25420.400392
26-0.09915-0.60310.275059
27-0.105143-0.63960.263199
28-0.067712-0.41190.341403
29-0.108272-0.65860.257118
30-0.144556-0.87930.192457
31-0.075725-0.46060.323884
32-0.104072-0.6330.2653
33-0.045234-0.27510.392366
34-0.003124-0.0190.492471
35-0.022057-0.13420.447
360.0191190.11630.454024
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.014738-0.08960.464525
20.1807811.09960.139295
30.2835641.72490.04645
40.0762090.46360.322838
50.0031120.01890.492499
60.0007270.00440.498248
7-0.215835-1.31290.098655
8-0.009703-0.0590.476626
90.0420240.25560.399829
100.1525320.92780.179758
11-0.118885-0.72310.237068
12-0.182708-1.11140.136789
130.0245830.14950.440972
14-0.02168-0.13190.447899
150.1625560.98880.164595
16-0.054189-0.32960.371773
17-0.057436-0.34940.364397
180.0064410.03920.484479
190.0863670.52530.301238
20-0.003953-0.0240.490473
210.0718290.43690.332354
22-0.120955-0.73570.233263
23-0.077134-0.46920.320844
24-0.177397-1.07910.143772
250.0199280.12120.452088
260.0296480.18030.428935
27-0.054815-0.33340.370348
28-0.080673-0.49070.313264
29-0.126411-0.76890.223409
30-0.03351-0.20380.419799
31-0.022208-0.13510.446638
320.0603020.36680.357928
330.0313570.19070.424887
340.0263750.16040.436706
350.0366650.2230.412371
36-0.032545-0.1980.422079
37NANANA
38NANANA
39NANANA
40NANANA
41NANANA
42NANANA
43NANANA
44NANANA
45NANANA
46NANANA
47NANANA
48NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t1228941660pp20e33ylrcma50/1qbaa1228941608.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t1228941660pp20e33ylrcma50/1qbaa1228941608.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t1228941660pp20e33ylrcma50/2ncne1228941608.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/10/t1228941660pp20e33ylrcma50/2ncne1228941608.ps (open in new window)


 
Parameters (Session):
par1 = 48 ; par2 = 0.6 ; par3 = 0 ; par4 = 0 ; par5 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 0.6 ; par3 = 0 ; par4 = 2 ; 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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