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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: Sat, 05 Dec 2009 07:53:43 -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/05/t12600248821u3nrxzy3y5dfc8.htm/, Retrieved Sat, 05 Dec 2009 15:54:44 +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/05/t12600248821u3nrxzy3y5dfc8.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 «
286602 283042 276687 277915 277128 277103 275037 270150 267140 264993 287259 291186 292300 288186 281477 282656 280190 280408 276836 275216 274352 271311 289802 290726 292300 278506 269826 265861 269034 264176 255198 253353 246057 235372 258556 260993 254663 250643 243422 247105 248541 245039 237080 237085 225554 226839 247934 248333 246969 245098 246263 255765 264319 268347 273046 273963 267430 271993 292710 295881 293299
 
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
10.1265830.98050.165386
2-0.163188-1.26410.10555
3-0.136333-1.0560.147594
4-0.128844-0.9980.161139
50.1332341.0320.1531
60.2442811.89220.031647
70.1313551.01750.156507
8-0.180806-1.40050.083255
9-0.194032-1.5030.069047
10-0.216421-1.67640.049433
110.1317931.02090.155709
120.6527315.0562e-06
13-0.014802-0.11470.454549
14-0.177994-1.37870.086547
15-0.166937-1.29310.100469
16-0.163152-1.26380.105601
170.0800870.62030.268689
180.1376221.0660.145343
190.0422250.32710.372377
20-0.232306-1.79940.038489
21-0.229578-1.77830.04021
22-0.190477-1.47540.072663
230.0912210.70660.241277
240.4443593.4420.000529
25-0.066586-0.51580.303955
26-0.163177-1.2640.105565
27-0.121694-0.94260.174823
28-0.093319-0.72280.236292
290.0637870.49410.311522
300.0959130.74290.230209
310.0392190.30380.381171
32-0.181245-1.40390.082749
33-0.156895-1.21530.114505
34-0.083221-0.64460.260813
350.0973070.75370.226978
360.2525351.95610.027555


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.1265830.98050.165386
2-0.18213-1.41080.081738
3-0.093405-0.72350.236089
4-0.134013-1.03810.151703
50.1374951.0650.145564
60.169371.31190.09727
70.1125730.8720.193346
8-0.154351-1.19560.118279
9-0.071271-0.55210.291478
10-0.222835-1.72610.044741
110.1223270.94750.173582
120.5768274.46811.8e-05
13-0.205699-1.59330.05817
14-0.043872-0.33980.367586
15-0.062966-0.48770.313758
16-0.086571-0.67060.252532
17-0.054147-0.41940.338202
18-0.170779-1.32280.095453
19-0.072286-0.55990.288809
20-0.057046-0.44190.330084
21-0.034778-0.26940.394276
220.0304540.23590.407158
23-0.101535-0.78650.217339
240.0533110.41290.340561
25-0.013922-0.10780.457242
26-0.041715-0.32310.373862
270.0569720.44130.330289
280.0198940.15410.439025
29-0.065527-0.50760.306807
30-0.041749-0.32340.373764
31-0.010745-0.08320.466972
320.0401290.31080.378502
330.0062570.04850.480754
340.0409240.3170.376173
35-0.038183-0.29580.384217
36-0.167351-1.29630.099918
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/05/t12600248821u3nrxzy3y5dfc8/14z481260024820.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t12600248821u3nrxzy3y5dfc8/14z481260024820.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/05/t12600248821u3nrxzy3y5dfc8/2gdhb1260024820.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/05/t12600248821u3nrxzy3y5dfc8/2gdhb1260024820.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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