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ACF, PACF d=1 D=1 L=1

*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: Sun, 27 Dec 2009 04:04:14 -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/27/t1261911938fmwy9ijam6smbmc.htm/, Retrieved Sun, 27 Dec 2009 12:05:40 +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/27/t1261911938fmwy9ijam6smbmc.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:
paper
 
Dataseries X:
» Textbox « » Textfile « » CSV «
83.87 84.23 84.61 84.82 85.04 85.06 84.93 84.98 85.23 85.30 85.33 85.55 85.70 85.88 86.04 86.07 86.31 86.38 86.35 86.55 86.70 86.74 86.85 86.95 86.80 87.01 87.17 87.43 87.66 87.68 87.59 87.65 87.72 87.70 87.71 87.80 87.62 87.84 88.17 88.47 88.58 88.57 88.55 88.68 88.79 88.85 88.95 89.27 89.09 89.42 89.72 89.85 89.96 90.25 90.20 90.27 90.78 90.79 90.98 91.25 90.75 91.01 91.50 92.09 92.56 92.66 92.38 92.38 92.66 92.69 92.59 92.98 92.98 93.15 93.65 94.06 94.24 94.24 94.11 94.16 94.43 94.67 94.60 95.00 94.84 95.26 95.81 95.92 95.85 95.90 95.80 96.00 96.34 96.43 96.48 96.75 96.51 96.69 97.28 97.69 98.08 98.09 97.92 98.06 98.23 98.57 98.53 98.92 98.42 98.73 99.32 99.73 100.00 100.08 100.02 100.26 100.71 100.95 100.75 101.03 100.64 100.93 101.41 102.07 102.42 102.53 102.43 102.60 102.65 102.74 102.82 103.21 102.75 103.09 103.71 104.30 104.58 104.71 104.44 104.57 104.95 105.49 etc...
 
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
10.3253664.03774.2e-05
20.1608411.9960.023849
30.0045520.05650.477513
40.0045520.05650.477514
5-0.077624-0.96330.168456
60.0292950.36350.358351
70.0814451.01070.156872
80.0478870.59430.276604
90.0891351.10610.135197
10-0.044528-0.55260.290678
11-0.077897-0.96670.167611
12-0.461706-5.72960
13-0.294324-3.65250.000178
14-0.169914-2.10860.0183
15-0.033811-0.41960.337685
160.0035360.04390.482527
170.0501770.62270.267208
180.0119320.14810.441239
19-0.005095-0.06320.474834
20-0.011465-0.14230.443523
21-0.047814-0.59340.276907
22-0.006678-0.08290.467031


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.3253664.03774.2e-05
20.0614880.7630.223302
3-0.072487-0.89950.184884
40.0149830.18590.42637
5-0.081144-1.0070.157764
60.083441.03550.151038
70.077790.96530.167942
8-0.022509-0.27930.390182
90.076520.94960.171903
10-0.114543-1.42140.078604
11-0.050249-0.62360.266916
12-0.452431-5.61450
13-0.047547-0.590.278014
140.0353150.43830.330909
150.0026960.03350.486677
160.046540.57750.282209
17-0.027483-0.34110.366763
180.0260570.32340.373429
190.0760740.94410.173311
200.0011750.01460.494191
210.0457230.56740.285631
22-0.029491-0.3660.357442
 
Charts produced by software:
http://www.freestatistics.org/blog/date/2009/Dec/27/t1261911938fmwy9ijam6smbmc/1fgor1261911852.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/27/t1261911938fmwy9ijam6smbmc/1fgor1261911852.ps (open in new window)


http://www.freestatistics.org/blog/date/2009/Dec/27/t1261911938fmwy9ijam6smbmc/2r1911261911852.png (open in new window)
http://www.freestatistics.org/blog/date/2009/Dec/27/t1261911938fmwy9ijam6smbmc/2r1911261911852.ps (open in new window)


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