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step 1 ACF d=1 D=2

*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, 13 Dec 2008 06:42:02 -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/13/t1229175799eoa24dav8ziwygc.htm/, Retrieved Sat, 13 Dec 2008 14:43:20 +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/13/t1229175799eoa24dav8ziwygc.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 «
6.4 6.8 7.5 7.5 7.6 7.6 7.4 7.3 7.1 6.9 6.8 7.5 7.6 7.8 8 8.1 8.2 8.3 8.2 8 7.9 7.6 7.6 8.2 8.3 8.4 8.4 8.4 8.6 8.9 8.8 8.3 7.5 7.2 7.5 8.8 9.3 9.3 8.7 8.2 8.3 8.5 8.6 8.6 8.2 8.1 8 8.6 8.7 8.8 8.5 8.4 8.5 8.7 8.7 8.6 8.5 8.3 8.1 8.2 8.1 8.1 7.9 7.9 7.9 8 8 7.9 8 7.7 7.2 7.5 7.3 7 7 7 7.2 7.3 7.1 6.8 6.6 6.2 6.2 6.8
 
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
10.4672513.5890.000338
2-0.117163-0.89990.185904
3-0.597006-4.58571.2e-05
4-0.637427-4.89624e-06
5-0.247651-1.90220.031012
60.0844140.64840.259621
70.3738922.87190.00283
80.4223573.24420.000971
90.2810612.15890.017469
10-0.000432-0.00330.498681
11-0.279087-2.14370.018094
12-0.470599-3.61470.000312
13-0.247687-1.90250.030994
140.0640980.49230.312152
150.32372.48640.007878
160.3130062.40420.009682
170.0930670.71490.238757
18-0.04103-0.31520.376876
19-0.215824-1.65780.051336
20-0.137469-1.05590.147656
21-0.064287-0.49380.311641
220.0117920.09060.464069
230.1030520.79160.215895
240.037190.28570.388069
250.0610280.46880.320483
260.0052180.04010.484082
27-0.028359-0.21780.414156
28-0.078079-0.59970.27549
29-0.109852-0.84380.201097
30-0.057972-0.44530.328868
310.1012570.77780.219905
320.1727681.32710.094801
330.1008160.77440.220898
34-0.035232-0.27060.393812
35-0.148324-1.13930.129591
36-0.084234-0.6470.260067
37-0.031349-0.24080.405275
380.0735110.56470.287226
390.0341840.26260.396898
400.0279390.21460.415407
410.0380440.29220.38557
420.0033730.02590.489708
43-0.029923-0.22980.409505
44-0.104285-0.8010.213166
45-0.041791-0.3210.374672
460.0379980.29190.385705
470.0664190.51020.305918
480.0667820.5130.304947


Partial Autocorrelation Function
Time lag kPACF(k)T-STATP-value
10.4672513.5890.000338
2-0.429188-3.29670.00083
3-0.499032-3.83310.000155
4-0.302133-2.32070.011889
5-0.06994-0.53720.296568
6-0.376752-2.89390.002662
7-0.155194-1.19210.119004
8-0.011712-0.090.464311
90.0412790.31710.376156
10-0.045922-0.35270.362773
110.017970.1380.445343
12-0.243603-1.87110.033143
130.149481.14820.127765
140.0038120.02930.488371
15-0.040429-0.31050.378621
16-0.147123-1.13010.13151
170.0028370.02180.491343
180.0764270.5870.279705
19-0.142598-1.09530.138915
200.1283630.9860.164086
210.1012890.7780.219835
22-0.016546-0.12710.44965
230.0606950.46620.321392
24-0.161828-1.2430.109389
250.0848710.65190.258496
26-0.000416-0.00320.49873
27-0.028383-0.2180.414085
28-0.254133-1.9520.027843
29-0.171773-1.31940.096064
30-0.083383-0.64050.262172
310.0153940.11820.453137
32-0.016812-0.12910.448845
33-0.103351-0.79390.21523
34-0.027137-0.20840.4178
350.0829780.63740.263177
36-0.028872-0.22180.412628
370.018660.14330.443257
380.0936080.7190.237485
39-0.029766-0.22860.409971
40-0.029443-0.22620.410932
41-0.062678-0.48140.315992
42-0.006314-0.04850.480742
43-0.038313-0.29430.384786
440.0387230.29740.383588
45-0.000241-0.00190.499264
46-0.071155-0.54650.293375
47-0.088046-0.67630.250749
480.0578940.44470.329086
 
Charts produced by software:
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229175799eoa24dav8ziwygc/1od591229175720.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229175799eoa24dav8ziwygc/1od591229175720.ps (open in new window)


http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229175799eoa24dav8ziwygc/2n0d61229175720.png (open in new window)
http://127.0.0.1/wessadotnet/public_html/freestatisticsdotorg/blog/date/2008/Dec/13/t1229175799eoa24dav8ziwygc/2n0d61229175720.ps (open in new window)


 
Parameters (Session):
par1 = 1 ; par2 = 0 ; par3 = 2 ; par4 = 12 ;
 
Parameters (R input):
par1 = 48 ; par2 = 1 ; par3 = 1 ; par4 = 2 ; 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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