Home » date » 2009 » Dec » 07 »

rev ws9

*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, 07 Dec 2009 15:15:45 -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/07/t1260224181qxl9p3sndixj0c4.htm/, Retrieved Mon, 07 Dec 2009 23:16:23 +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/07/t1260224181qxl9p3sndixj0c4.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 «
9.0 9.1 8.7 8.2 7.9 7.9 9.1 9.4 9.4 9.1 9.0 9.3 9.9 9.8 9.3 8.3 8.0 8.5 10.4 11.1 10.9 10.0 9.2 9.2 9.5 9.6 9.5 9.1 8.9 9.0 10.1 10.3 10.2 9.6 9.2 9.3 9.4 9.4 9.2 9.0 9.0 9.0 9.8 10.0 9.8 9.3 9.0 9.0 9.1 9.1 9.1 9.2 8.8 8.3 8.4 8.1 7.7 7.9 7.9 8.0
 
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
10.2199211.49160.071319
2-0.131482-0.89180.188583
3-0.485833-3.29510.00095
4-0.400081-2.71350.004669
5-0.150919-1.02360.155693
60.208291.41270.082238
70.2187261.48350.072385
80.1344730.9120.183251
90.0911350.61810.269777
10-0.088994-0.60360.274543
11-0.038135-0.25860.398531
12-0.095808-0.64980.259526
13-0.116539-0.79040.216673
140.0890470.60390.274423
15-0.020598-0.13970.444753
160.0803890.54520.294115
170.0651870.44210.330237
180.0539980.36620.357934
19-0.115195-0.78130.219317
20-0.079163-0.53690.29696
21-0.086215-0.58470.280791
220.0113730.07710.469425
230.1542981.04650.150399
240.0899910.61030.272318
250.0726590.49280.312251
26-0.015403-0.10450.458627
27-0.171531-1.16340.125337
28-0.116537-0.79040.216678
29-0.082511-0.55960.289228
300.0643050.43610.332389
310.0767470.52050.302597
320.1931741.31020.098321
330.0502330.34070.367441
340.0596450.40450.343849
35-0.156278-1.05990.147355
36-0.207153-1.4050.083373


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.2199211.49160.071319
2-0.188987-1.28180.103172
3-0.446676-3.02950.002005
4-0.306735-2.08040.021544
5-0.247735-1.68020.049847
6-0.096512-0.65460.258
7-0.241445-1.63760.054168
8-0.255137-1.73040.04513
9-0.034126-0.23150.408994
10-0.171218-1.16130.125764
11-0.019213-0.13030.448445
12-0.09926-0.67320.252089
13-0.195748-1.32760.095426
140.1484011.00650.15972
15-0.213878-1.45060.076839
16-0.01061-0.0720.471472
170.0407530.27640.391738
180.0080780.05480.478272
19-0.052256-0.35440.362324
20-0.133217-0.90350.185478
21-0.041089-0.27870.390871
22-0.090841-0.61610.270429
23-0.059724-0.40510.343652
24-0.045664-0.30970.379092
25-0.026152-0.17740.429997
260.1347360.91380.182788
27-0.092309-0.62610.267182
28-0.006974-0.04730.481241
29-0.028398-0.19260.424058
30-0.022947-0.15560.4385
31-0.110654-0.75050.22839
32-0.036632-0.24840.402446
330.0441690.29960.382927
340.110.74610.229714
35-0.060669-0.41150.341316
36-0.067303-0.45650.325099
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/07/t1260224181qxl9p3sndixj0c4/1mrfo1260224144.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/07/t1260224181qxl9p3sndixj0c4/1mrfo1260224144.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/07/t1260224181qxl9p3sndixj0c4/2k9cw1260224144.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/07/t1260224181qxl9p3sndixj0c4/2k9cw1260224144.ps (open in new window)


 
Parameters (Session):
par1 = 36 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; par5 = 12 ; par6 = MA ; par7 = 0.95 ;
 
Parameters (R input):
par1 = 36 ; par2 = 1 ; par3 = 2 ; par4 = 1 ; 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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