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(Partial) Autocorrelation Function

*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, 18 Dec 2009 08:30:44 -0700
 
Cite this page as follows:
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL http://www.freestatistics.org/blog/date/2009/Dec/18/t1261150305o5huy8aogwbw4w3.htm/, Retrieved Fri, 18 Dec 2009 16:31:47 +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/2009/Dec/18/t1261150305o5huy8aogwbw4w3.htm/},
    year = {2009},
}
@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 = {2009},
    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 «
12.1 12 11.8 12.7 12.3 11.9 12 12.3 12.8 12.4 12.3 12.7 12.7 12.9 13 12.2 12.3 12.8 12.8 12.8 12.2 12.6 12.8 12.5 12.4 12.3 11.9 11.7 12 12.1 11.7 11.8 11.8 11.8 11.3 11.3 11.3 11.2 11.4 12.2 12.9 13.1 13.5 13.6 14.4 14.1 15.1 15.8 15.9 15.4 15.5 14.8 13.2 12.7 12.1 11.9 10.6 10.7 9.8 9 8.3 9.3 9 9.1 10
 
Output produced by software:


Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135


Autocorrelation Function
Time lag kACF(k)T-STATP-value
10.1763371.41070.081588
20.1556081.24490.10886
30.2274021.81920.036778
40.2708082.16650.017003
5-0.046958-0.37570.354206
6-0.017302-0.13840.445174
70.0979060.78320.218185
8-0.077678-0.62140.268265
9-0.210653-1.68520.048408
10-0.17075-1.3660.08836
110.0085830.06870.472735
12-0.508456-4.06776.6e-05
13-0.278757-2.23010.014629
14-0.098664-0.78930.216423
15-0.017447-0.13960.444717
16-0.192867-1.54290.063888
17-0.046919-0.37530.354321
180.054810.43850.331256
19-0.03695-0.29560.384246
20-0.083966-0.67170.252087
210.0052260.04180.483392
220.1488481.19080.119068
23-0.02173-0.17380.431271
24-0.027196-0.21760.414229
250.1546721.23740.110235
260.0866460.69320.245357
27-0.0681-0.54480.293893
280.0484840.38790.349699
290.0824120.65930.256035
300.0199630.15970.43681
31-0.076089-0.60870.272435
320.071580.57260.284448
330.1143880.91510.181785
34-0.023955-0.19160.424317
35-0.073659-0.58930.278877
360.1369681.09570.138649


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1763371.41070.081588
20.128511.02810.153892
30.1897651.51810.066954
40.2095451.67640.049273
5-0.1723-1.37840.08644
6-0.099689-0.79750.214052
70.0500550.40040.345083
8-0.111348-0.89080.18819
9-0.155458-1.24370.10908
10-0.140447-1.12360.132695
110.0892030.71360.239026
12-0.448453-3.58760.000323
13-0.098714-0.78970.216305
140.0711470.56920.285614
150.1763841.41110.081533
160.10380.83040.2047
17-0.043935-0.35150.363193
18-0.046879-0.3750.354439
19-0.0449-0.35920.360315
20-0.101202-0.80960.210581
21-0.156497-1.2520.107568
22-0.001057-0.00850.496639
230.0908620.72690.234969
24-0.283098-2.26480.01346
25-0.001989-0.01590.493678
260.023950.19160.424331
270.0853570.68290.24858
280.1391151.11290.134953
29-0.035363-0.28290.389082
300.0229060.18320.427591
31-0.133203-1.06560.145299
32-0.051658-0.41330.340397
33-0.035448-0.28360.388822
340.042320.33860.368025
350.0213580.17090.432433
36-0.070805-0.56640.286538
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/18/t1261150305o5huy8aogwbw4w3/12p4n1261150242.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/18/t1261150305o5huy8aogwbw4w3/12p4n1261150242.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/18/t1261150305o5huy8aogwbw4w3/2ti4u1261150242.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/18/t1261150305o5huy8aogwbw4w3/2ti4u1261150242.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 1 ; par4 = 0 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
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 (par6 == 'White Noise') par6 <- 'white' else par6 <- 'ma'
par7 <- as.numeric(par7)
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='time lag', ylab='ACF', ci.type=par6, ci=par7, sub=paste('(lambda=',par2,', d=',par3,', D=',par4,', CI=', par7, ', CI type=',par6,')',sep=''))
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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