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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: Mon, 15 Dec 2008 15:14:24 -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/15/t1229379310f807xf9s88zxp83.htm/, Retrieved Mon, 15 Dec 2008 23:15:10 +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/15/t1229379310f807xf9s88zxp83.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 «
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
1-0.133181-0.93230.177885
20.1051180.73580.232672
30.4256242.97940.002242
4-0.064091-0.44860.327834
50.0116750.08170.467599
60.236511.65560.0521
7-0.211688-1.48180.072396
80.021620.15130.440165
90.1729491.21060.11592
10-0.106141-0.7430.230519
11-0.097161-0.68010.249812
120.0724420.50710.307181
13-0.114252-0.79980.213854
14-0.091584-0.64110.262226
150.0367120.2570.399132
16-0.220544-1.54380.064535
17-0.005512-0.03860.48469
180.0342490.23970.405764
19-0.136172-0.95320.172583
200.0212450.14870.441194
210.0011430.0080.496825
22-0.175499-1.22850.112565
230.194221.35950.0901
24-0.260447-1.82310.037194
25-0.018382-0.12870.449072
260.0754120.52790.299981
27-0.149845-1.04890.149682
28-0.075143-0.5260.300629
290.069640.48750.314047
30-0.152294-1.06610.14581
31-0.076438-0.53510.297513
320.0125820.08810.465089
33-0.143422-1.0040.160167
34-0.064237-0.44970.32747
350.0305860.21410.415678
36-0.076094-0.53270.298338
37-0.039511-0.27660.391634
380.0795120.55660.290173
390.0074550.05220.479296
40-0.015498-0.10850.457027
410.1115810.78110.219261
420.026890.18820.425738
430.0353110.24720.402902
440.1061970.74340.230402
45-0.014512-0.10160.459751
460.0248840.17420.431219
470.037680.26380.396535
48-0.009589-0.06710.473378
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
1-0.133181-0.93230.177885
20.0889590.62270.268181
30.4620123.23410.001094
40.0669710.46880.320648
5-0.129872-0.90910.183873
60.027760.19430.423364
7-0.185787-1.30050.099755
8-0.055987-0.39190.348412
90.1472341.03060.153885
100.1438051.00660.159527
11-0.157209-1.10050.138253
12-0.176291-1.2340.111537
13-0.065328-0.45730.324741
14-0.027334-0.19130.424526
150.0605390.42380.336793
16-0.099718-0.6980.24423
170.0279530.19570.422839
180.0089380.06260.475184
19-0.014462-0.10120.459888
200.043730.30610.380409
21-0.018167-0.12720.449662
22-0.182732-1.27910.103439
230.1326690.92870.178803
24-0.221012-1.54710.064139
250.0287920.20150.420554
260.0420770.29450.384794
27-0.002967-0.02080.491757
28-0.138541-0.96980.168457
29-0.089459-0.62620.267042
300.0178290.12480.450595
31-0.120285-0.8420.20194
32-0.083932-0.58750.279775
33-0.01247-0.08730.465397
340.058550.40990.34185
35-0.066881-0.46820.320869
360.0057570.04030.484008
370.0311480.2180.414153
38-0.064955-0.45470.325673
390.0916120.64130.262163
40-0.045483-0.31840.375775
410.0400160.28010.390285
420.0336350.23540.407423
430.0238320.16680.434096
44-0.035184-0.24630.403244
45-0.071669-0.50170.309068
46-0.134636-0.94250.175292
470.0056520.03960.4843
48-0.101818-0.71270.239697
49NANANA
50NANANA
51NANANA
52NANANA
53NANANA
54NANANA
55NANANA
56NANANA
57NANANA
58NANANA
59NANANA
60NANANA
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/15/t1229379310f807xf9s88zxp83/155ou1229379259.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/15/t1229379310f807xf9s88zxp83/155ou1229379259.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/15/t1229379310f807xf9s88zxp83/2viko1229379259.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/15/t1229379310f807xf9s88zxp83/2viko1229379259.ps (open in new window)


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